YouTube, Deepspeech, with Google Colaboratory [testing_0004] : DeepSpeech output ’json’ [0001]

Deepspeech==0.9.3 の ASR 結果の出力は、一行のテキストか json になるようです。

例えばファイルに書き出すのに、簡単には > をつかって、test.txt に出力します。

!deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio test.wav  > test.txt

同様に、json でtest.txtに出力します。DeepSpeech のコマンドに --json を指定します。何もオプションが無いと一行のテキストファイルになるということですね。

!deepspeech --model deepspeech-0.9.3-models.pbmm --scorer deepspeech-0.9.3-models.scorer --audio test.wav --json > test.txt

DeepSpeech はドキュメントでさがすと見つけにくいので、ここを見ました。
https://github.com/mozilla/DeepSpeech/blob/b72e2643c497d4c9c16274753fa9b51bfa90f638/native_client/python/client.py#L90

DeepSpeech output json

json のファイルを見てみると、

{'transcripts': [{'confidence': -7868.84033203125, 'words': [{'word': 'in', 'start_time': 0.56, 'duration': 0.06}, {'word': 'twenty', 'start_time': 0.66, 'duration': 0.18}, {'word': 'thirteen', 'start_time': 0.88, 'duration': 0.42}, {'word': 'google', 'start_time': 1.38, 'duration': 0.26}, {'word': 'announced', 'start_time': 1.72, 'duration': 0.32}, {'word': 'to', 'start_time': 2.06, 'duration': 0.08}, {'word': 'his', 'start_time': 2.16, 'duration': 0.14}, {'word': 'adding', 'start_time': 2.38, 'duration': 0.22}, {'word': 'something', 'start_time': 2.66, 'duration': 0.28}, {'word': 'new', 'start_time': 3.1, 'duration': 0.2}, {'word': 'to', 'start_time': 3.34, 'duration': 0.1}, {'word': 'its', 'start_time': 3.5, 'duration': 0.14}, {'word': 'crown', 'start_time': 3.74, 'duration': 0.3}, {'word': 'browser', 'start_time': 4.1, 'duration': 0.72}, {'word': 'okay', 'start_time': 4.98, 'duration': 0.26}, {'word': 'how', 'start_time': 5.28, 'duration': 1.1}, {'word': 'some', 'start_time': 6.5, 'duration': 0.26}, {'word': 'things', 'start_time': 6.78, 'duration': 0.22}, {'word': 'to', 'start_time': 7.04, 'duration': 0.12}, {'word': 'do', 'start_time': 7.2, 'duration': 0.18}, {'word': 'in', 'start_time': 7.5, 'duration': 0.08}, {'word': 'santa', 'start_time': 7.6, 'duration': 0.26}, {'word': 'cruz', 'start_time': 7.9, 'duration': 0.48}, {'word': 'you', 'start_time': 8.48, 'duration': 0.06}, {'word': 'are', 'start_time': 8.6, 'duration': 0.08}, {'word': 'popular', 'start_time': 8.78, 'duration': 0.42}, {'word': 'attractions', 'start_time': 9.3, 'duration': 0.56}, {'word': 'and', 'start_time': 10.0, 'duration': 0.12}, {'word': 'sandacre', 'start_time': 10.16, 'duration': 2.74}, {'word': 'voice', 'start_time': 12.98, 'duration': 0.2}, {'word': 'recognition', 'start_time': 13.24, 'duration': 0.6}, {'word': 'than', 'start_time': 13.88, 'duration': 0.1}, {'word': 'you', 'start_time': 14.02, 'duration': 0.08}, {'word': 'could', 'start_time': 14.14, 'duration': 0.14}, {'word': 'activate', 'start_time': 14.38, 'duration': 0.38}, {'word': 'by', 'start_time': 14.82, 'duration': 0.22}, {'word': 'speaking', 'start_time': 15.08, 'duration': 0.4}, {'word': 'a', 'start_time': 15.6, 'duration': 0.06}, {'word': 'coward', 'start_time': 15.72, 'duration': 1.04}, {'word': 'and', 'start_time': 16.86, 'duration': 0.08}, {'word': 'twenty', 'start_time': 16.96, 'duration': 0.2}, {'word': 'fourteen', 'start_time': 17.22, 'duration': 0.76}, {'word': 'apple', 'start_time': 18.1, 'duration': 0.22}, {'word': 'updated', 'start_time': 18.38, 'duration': 0.4}, {'word': 'its', 'start_time': 18.92, 'duration': 0.12}, {'word': 'seriatim', 'start_time': 19.1, 'duration': 1.26}, {'word': 'the', 'start_time': 20.38, 'duration': 0.08}, {'word': 'same', 'start_time': 20.5, 'duration': 0.22}, {'word': 'way', 'start_time': 20.82, 'duration': 0.38}, {'word': 'a', 'start_time': 21.34, 'duration': 0.2}, {'word': 'series', 'start_time': 21.58, 'duration': 0.44}, {'word': 'show', 'start_time': 22.08, 'duration': 0.24}, {'word': 'me', 'start_time': 22.34, 'duration': 0.28}, {'word': 'posteritas', 'start_time': 22.68, 'duration': 4.4}, {'word': 'a', 'start_time': 27.16, 'duration': 0.04}, {'word': 'flashy', 'start_time': 27.24, 'duration': 0.3}, {'word': 'new', 'start_time': 27.6, 'duration': 0.08}, {'word': 'addition', 'start_time': 27.74, 'duration': 0.36}, {'word': 'to', 'start_time': 28.16, 'duration': 0.06}, {'word': 'these', 'start_time': 28.28, 'duration': 0.16}, {'word': 'companies', 'start_time': 28.52, 'duration': 0.4}, {'word': 'existing', 'start_time': 29.06, 'duration': 0.4}, {'word': 'browsers', 'start_time': 29.62, 'duration': 0.44}, {'word': 'in', 'start_time': 30.16, 'duration': 0.12}, {'word': 'pounds', 'start_time': 30.36, 'duration': 0.86}, {'word': 'but', 'start_time': 31.28, 'duration': 0.1}, {'word': 'then', 'start_time': 31.42, 'duration': 0.1}, {'word': 'a', 'start_time': 31.6, 'duration': 0.04}, {'word': 'few', 'start_time': 31.7, 'duration': 0.08}, {'word': 'months', 'start_time': 31.82, 'duration': 0.2}, {'word': 'later', 'start_time': 32.08, 'duration': 0.28}, {'word': 'amazon', 'start_time': 32.5, 'duration': 0.38}, {'word': 'released', 'start_time': 32.94, 'duration': 0.3}, {'word': 'something', 'start_time': 33.28, 'duration': 0.36}, {'word': 'much', 'start_time': 33.8, 'duration': 0.16}, {'word': 'simpler', 'start_time': 34.02, 'duration': 0.6}, {'word': 'when', 'start_time': 34.72, 'duration': 0.1}, {'word': 'it', 'start_time': 34.88, 'duration': 0.1}, {'word': 'first', 'start_time': 35.02, 'duration': 0.2}, {'word': 'rate', 'start_time': 35.32, 'duration': 0.42}, {'word': 'amazonas', 'start_time': 35.8, 'duration': 1.98}, {'word': "it's", 'start_time': 37.88, 'duration': 0.24}, {'word': 'called', 'start_time': 38.22, 'duration': 0.36}, {'word': 'amazon', 'start_time': 38.66, 'duration': 0.62}, {'word': 'echo', 'start_time': 39.38, 'duration': 0.72}, {'word': 'he', 'start_time': 40.14, 'duration': 0.06}, {'word': 'was', 'start_time': 40.24, 'duration': 0.08}, {'word': 'a', 'start_time': 40.38, 'duration': 0.02}, {'word': 'voice', 'start_time': 40.44, 'duration': 0.22}, {'word': 'activated', 'start_time': 40.72, 'duration': 0.52}, {'word': 'speaker', 'start_time': 41.28, 'duration': 0.92}, {'word': 'a', 'start_time': 42.32, 'duration': 0.04}, {'word': 'product', 'start_time': 42.4, 'duration': 0.3}, {'word': 'whose', 'start_time': 42.74, 'duration': 0.2}, {'word': 'sole', 'start_time': 43.0, 'duration': 0.18}, {'word': 'purpose', 'start_time': 43.24, 'duration': 0.3}, {'word': 'was', 'start_time': 43.6, 'duration': 0.14}, {'word': 'to', 'start_time': 43.78, 'duration': 0.06}, {'word': 'interact', 'start_time': 43.9, 'duration': 0.36}, {'word': 'with', 'start_time': 44.3, 'duration': 0.12}, {'word': 'your', 'start_time': 44.48, 'duration': 0.14}, {'word': 'voice', 'start_time': 44.68, 'duration': 0.88}, {'word': 'and', 'start_time': 45.64, 'duration': 0.06}, {'word': 'you', 'start_time': 45.72, 'duration': 0.1}, {'word': 'can', 'start_time': 45.86, 'duration': 0.16}, {'word': 'see', 'start_time': 46.04, 'duration': 0.12}, {'word': 'in', 'start_time': 46.2, 'duration': 0.06}, {'word': 'this', 'start_time': 46.28, 'duration': 0.14}, {'word': 'video', 'start_time': 46.48, 'duration': 0.24}, {'word': 'they', 'start_time': 46.82, 'duration': 0.1}, {'word': 'made', 'start_time': 46.96, 'duration': 0.3}, {'word': 'that', 'start_time': 47.36, 'duration': 0.08}, {'word': 'they', 'start_time': 47.48, 'duration': 0.1}, {'word': 'had', 'start_time': 47.62, 'duration': 0.12}, {'word': 'to', 'start_time': 47.78, 'duration': 0.06}, {'word': 'convince', 'start_time': 47.9, 'duration': 0.3}, {'word': 'people', 'start_time': 48.26, 'duration': 0.36}, {'word': 'that', 'start_time': 48.68, 'duration': 0.14}, {'word': 'it', 'start_time': 48.9, 'duration': 0.1}, {'word': 'be', 'start_time': 49.04, 'duration': 0.1}, {'word': 'useful', 'start_time': 49.2, 'duration': 0.4}, {'word': 'i', 'start_time': 49.7, 'duration': 0.06}, {'word': 'complain', 'start_time': 49.8, 'duration': 0.42}, {'word': 'music', 'start_time': 50.28, 'duration': 0.6}, {'word': 'antrustions', 'start_time': 50.98, 'duration': 1.1}, {'word': 'get', 'start_time': 52.16, 'duration': 0.12}, {'word': 'the', 'start_time': 52.34, 'duration': 0.08}, {'word': 'news', 'start_time': 52.5, 'duration': 0.18}, {'word': 'and', 'start_time': 52.76, 'duration': 0.08}, {'word': 'weather', 'start_time': 52.9, 'duration': 0.58}, {'word': 'create', 'start_time': 53.56, 'duration': 0.3}, {'word': 'to', 'start_time': 53.9, 'duration': 0.1}, {'word': 'do', 'start_time': 54.04, 'duration': 0.2}, {'word': 'less', 'start_time': 54.26, 'duration': 0.28}, {'word': 'and', 'start_time': 54.6, 'duration': 0.08}, {'word': 'much', 'start_time': 54.74, 'duration': 0.22}, {'word': 'more', 'start_time': 55.04, 'duration': 0.86}, {'word': 'as', 'start_time': 56.0, 'duration': 0.48}, {'word': 'but', 'start_time': 56.52, 'duration': 0.1}, {'word': 'a', 'start_time': 56.66, 'duration': 0.02}, {'word': 'work', 'start_time': 56.72, 'duration': 0.94}, {'word': 'to', 'start_time': 57.7, 'duration': 0.14}, {'word': 'day', 'start_time': 57.88, 'duration': 0.2}, {'word': 'every', 'start_time': 58.16, 'duration': 0.2}, {'word': 'one', 'start_time': 58.44, 'duration': 0.1}, {'word': 'in', 'start_time': 58.64, 'duration': 0.12}, {'word': 'five', 'start_time': 58.82, 'duration': 0.14}, {'word': 'american', 'start_time': 59.02, 'duration': 0.32}, {'word': 'households', 'start_time': 59.42, 'duration': 0.46}, {'word': 'has', 'start_time': 59.98, 'duration': 0.16}, {'word': 'a', 'start_time': 60.22, 'duration': 0.02}, {'word': 'smart', 'start_time': 60.28, 'duration': 0.24}, {'word': 'speaker', 'start_time': 60.54, 'duration': 1.1}, {'word': 'most', 'start_time': 61.74, 'duration': 0.16}, {'word': 'made', 'start_time': 62.0, 'duration': 0.14}, {'word': 'by', 'start_time': 62.18, 'duration': 0.08}, {'word': 'amazon', 'start_time': 62.36, 'duration': 0.46}, {'word': 'guana', 'start_time': 62.88, 'duration': 0.94}, {'word': 'and', 'start_time': 63.88, 'duration': 0.06}, {'word': 'their', 'start_time': 63.96, 'duration': 0.16}, {'word': 'technology', 'start_time': 64.16, 'duration': 0.44}, {'word': "doesn't", 'start_time': 64.68, 'duration': 0.26}, {'word': 'just', 'start_time': 64.98, 'duration': 0.16}, {'word': 'sit', 'start_time': 65.2, 'duration': 0.12}, {'word': 'on', 'start_time': 65.38, 'duration': 0.1}, {'word': 'table', 'start_time': 65.52, 'duration': 0.26}, {'word': 'top', 'start_time': 65.82, 'duration': 0.18}, {'word': 'any', 'start_time': 66.04, 'duration': 0.2}, {'word': 'more', 'start_time': 66.26, 'duration': 0.84}, {'word': 'you', 'start_time': 67.14, 'duration': 0.08}, {'word': 'can', 'start_time': 67.26, 'duration': 0.12}, {'word': 'find', 'start_time': 67.4, 'duration': 0.14}, {'word': 'alexin', 'start_time': 67.6, 'duration': 0.52}, {'word': 'your', 'start_time': 68.18, 'duration': 0.22}, {'word': 'ears', 'start_time': 68.48, 'duration': 0.3}, {'word': 'or', 'start_time': 68.86, 'duration': 0.06}, {'word': 'on', 'start_time': 68.98, 'duration': 0.08}, {'word': 'your', 'start_time': 69.08, 'duration': 0.16}, {'word': 'wrist', 'start_time': 69.3, 'duration': 0.26}, {'word': 'or', 'start_time': 69.62, 'duration': 0.1}, {'word': 'just', 'start_time': 69.8, 'duration': 0.16}, {'word': 'a', 'start_time': 70.04, 'duration': 0.02}, {'word': 'finger', 'start_time': 70.1, 'duration': 0.64}, {'word': "she's", 'start_time': 70.84, 'duration': 0.18}, {'word': 'even', 'start_time': 71.08, 'duration': 0.22}, {'word': 'right', 'start_time': 71.38, 'duration': 0.14}, {'word': 'in', 'start_time': 71.62, 'duration': 0.08}, {'word': 'front', 'start_time': 71.72, 'duration': 0.12}, {'word': 'of', 'start_time': 71.88, 'duration': 0.04}, {'word': 'your', 'start_time': 71.96, 'duration': 0.12}, {'word': 'eyeballs', 'start_time': 72.12, 'duration': 1.14}, {'word': 'you', 'start_time': 73.3, 'duration': 0.08}, {'word': 'can', 'start_time': 73.4, 'duration': 0.1}, {'word': 'also', 'start_time': 73.54, 'duration': 0.16}, {'word': 'find', 'start_time': 73.76, 'duration': 0.18}, {'word': 'smart', 'start_time': 73.98, 'duration': 0.3}, {'word': 'beakers', 'start_time': 74.38, 'duration': 0.34}, {'word': 'built', 'start_time': 74.78, 'duration': 0.22}, {'word': 'into', 'start_time': 75.06, 'duration': 0.16}, {'word': 'remote', 'start_time': 75.28, 'duration': 0.3}, {'word': 'controls', 'start_time': 75.62, 'duration': 0.64}, {'word': 'security', 'start_time': 76.38, 'duration': 0.34}, {'word': 'cameras', 'start_time': 76.8, 'duration': 0.38}, {'word': 'and', 'start_time': 77.28, 'duration': 0.08}, {'word': 'doorbells', 'start_time': 77.42, 'duration': 1.08}, {'word': 'or', 'start_time': 78.6, 'duration': 0.08}, {'word': 'in', 'start_time': 78.72, 'duration': 0.06}, {'word': 'the', 'start_time': 78.8, 'duration': 0.12}, {'word': 'form', 'start_time': 78.98, 'duration': 0.18}, {'word': 'of', 'start_time': 79.2, 'duration': 0.06}, {'word': 'an', 'start_time': 79.32, 'duration': 0.06}, {'word': 'adorable', 'start_time': 79.44, 'duration': 0.42}, {'word': 'tagger', 'start_time': 79.96, 'duration': 0.58}, {'word': 'said', 'start_time': 80.62, 'duration': 0.08}, {'word': 'that', 'start_time': 80.72, 'duration': 0.08}, {'word': "it's", 'start_time': 80.88, 'duration': 0.12}, {'word': 'easier', 'start_time': 81.08, 'duration': 0.24}, {'word': 'for', 'start_time': 81.36, 'duration': 0.08}, {'word': 'your', 'start_time': 81.48, 'duration': 0.12}, {'word': 'kids', 'start_time': 81.66, 'duration': 0.2}, {'word': 'to', 'start_time': 81.9, 'duration': 0.1}, {'word': 'you', 'start_time': 82.04, 'duration': 1.16}, {'word': 'and', 'start_time': 83.28, 'duration': 0.06}, {'word': 'echelonned', 'start_time': 83.42, 'duration': 1.58}, {'word': 'process', 'start_time': 85.08, 'duration': 0.4}, {'word': 'a', 'start_time': 85.58, 'duration': 0.06}, {'word': 'hundred', 'start_time': 85.68, 'duration': 0.32}, {'word': 'thousand', 'start_time': 86.08, 'duration': 0.3}, {'word': 'different', 'start_time': 86.42, 'duration': 0.24}, {'word': 'commands', 'start_time': 86.72, 'duration': 1.48}, {'word': 'but', 'start_time': 88.24, 'duration': 0.1}, {'word': 'all', 'start_time': 88.4, 'duration': 0.12}, {'word': 'this', 'start_time': 88.56, 'duration': 0.12}, {'word': 'convenience', 'start_time': 88.72, 'duration': 0.54}, {'word': 'does', 'start_time': 89.34, 'duration': 0.18}, {'word': 'come', 'start_time': 89.58, 'duration': 0.12}, {'word': 'at', 'start_time': 89.76, 'duration': 0.08}, {'word': 'the', 'start_time': 89.88, 'duration': 0.06}, {'word': 'expense', 'start_time': 90.0, 'duration': 0.36}, {'word': 'of', 'start_time': 90.44, 'duration': 0.08}, {'word': 'some', 'start_time': 90.6, 'duration': 0.12}, {'word': 'of', 'start_time': 90.78, 'duration': 0.06}, {'word': 'our', 'start_time': 90.92, 'duration': 0.1}, {'word': 'privacy', 'start_time': 91.1, 'duration': 0.92}, {'word': 'so', 'start_time': 92.12, 'duration': 0.06}, {'word': "it's", 'start_time': 92.24, 'duration': 0.08}, {'word': 'worth', 'start_time': 92.34, 'duration': 0.22}, {'word': 'asking', 'start_time': 92.64, 'duration': 0.74}, {'word': 'what', 'start_time': 93.5, 'duration': 0.1}, {'word': 'are', 'start_time': 93.66, 'duration': 0.08}, {'word': 'we', 'start_time': 93.76, 'duration': 0.1}, {'word': 'really', 'start_time': 93.96, 'duration': 0.22}, {'word': 'giving', 'start_time': 94.24, 'duration': 0.24}, {'word': 'up', 'start_time': 94.58, 'duration': 0.24}, {'word': 'when', 'start_time': 94.9, 'duration': 0.1}, {'word': 'we', 'start_time': 95.04, 'duration': 0.14}, {'word': 'use', 'start_time': 95.26, 'duration': 0.16}, {'word': 'one', 'start_time': 95.54, 'duration': 9.44}, {'word': 'the', 'start_time': 105.02, 'duration': 0.06}, {'word': 'first', 'start_time': 105.14, 'duration': 0.14}, {'word': 'thing', 'start_time': 105.3, 'duration': 0.12}, {'word': 'to', 'start_time': 105.46, 'duration': 0.06}, {'word': 'understand', 'start_time': 105.56, 'duration': 0.38}, {'word': 'is', 'start_time': 106.02, 'duration': 0.06}, {'word': 'that', 'start_time': 106.12, 'duration': 0.14}, {'word': 'smart', 'start_time': 106.3, 'duration': 0.28}, {'word': 'speakers', 'start_time': 106.62, 'duration': 0.42}, {'word': 'are', 'start_time': 107.14, 'duration': 0.08}, {'word': 'actually', 'start_time': 107.34, 'duration': 0.22}, {'word': 'that', 'start_time': 107.6, 'duration': 0.18}, {'word': 'smartly', 'start_time': 107.82, 'duration': 1.12}, {'word': 'sesame', 'start_time': 109.0, 'duration': 0.42}, {'word': 'like', 'start_time': 109.46, 'duration': 0.12}, {'word': "there's", 'start_time': 109.62, 'duration': 0.18}, {'word': 'a', 'start_time': 109.82, 'duration': 0.02}, {'word': 'lot', 'start_time': 109.88, 'duration': 0.08}, {'word': 'more', 'start_time': 110.02, 'duration': 0.08}, {'word': 'going', 'start_time': 110.12, 'duration': 0.18}, {'word': 'on', 'start_time': 110.38, 'duration': 0.1}, {'word': 'than', 'start_time': 110.5, 'duration': 0.1}, {'word': 'there', 'start_time': 110.62, 'duration': 0.18}, {'word': 'is', 'start_time': 110.9, 'duration': 0.22}, {'word': 'sir', 'start_time': 111.28, 'duration': 0.16}, {'word': 'moreover', 'start_time': 111.48, 'duration': 0.68}, {'word': 'personal', 'start_time': 112.26, 'duration': 0.28}, {'word': 'data', 'start_time': 112.68, 'duration': 0.24}, {'word': 'and', 'start_time': 112.98, 'duration': 0.08}, {'word': 'privacy', 'start_time': 113.1, 'duration': 0.44}, {'word': 'for', 'start_time': 113.6, 'duration': 0.12}, {'word': 'reconnaissant', 'start_time': 113.76, 'duration': 0.86}, {'word': 'ally', 'start_time': 114.64, 'duration': 1.08}, {'word': "it's", 'start_time': 115.82, 'duration': 0.1}, {'word': 'a', 'start_time': 115.96, 'duration': 0.06}, {'word': 'microphone', 'start_time': 116.04, 'duration': 0.98}, {'word': 'that', 'start_time': 117.04, 'duration': 0.1}, {'word': 'connects', 'start_time': 117.18, 'duration': 0.32}, {'word': 'two', 'start_time': 117.54, 'duration': 0.38}, {'word': 'internet', 'start_time': 117.98, 'duration': 0.82}, {'word': 'when', 'start_time': 118.86, 'duration': 0.1}, {'word': 'i', 'start_time': 119.0, 'duration': 0.02}, {'word': 'ask', 'start_time': 119.1, 'duration': 0.14}, {'word': 'it', 'start_time': 119.3, 'duration': 0.06}, {'word': 'about', 'start_time': 119.4, 'duration': 0.16}, {'word': 'the', 'start_time': 119.6, 'duration': 0.1}, {'word': 'weather', 'start_time': 119.74, 'duration': 0.7}, {'word': "alexia's", 'start_time': 120.54, 'duration': 0.88}, {'word': 'the', 'start_time': 121.48, 'duration': 0.06}, {'word': 'temperature', 'start_time': 121.58, 'duration': 1.06}, {'word': "it's", 'start_time': 122.82, 'duration': 0.12}, {'word': 'not', 'start_time': 123.02, 'duration': 0.14}, {'word': 'the', 'start_time': 123.22, 'duration': 0.1}, {'word': 'thing', 'start_time': 123.36, 'duration': 0.12}, 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ただ単に認識した言葉を出現開始と、終了までの長さを記録した形になっています。

Json を擬似的なSubRipのフォーマットに整形してみると、こうなるかもしれません。（たぶん。まだ確かではないが。）

擬似SubRip

ストリーミング出力は最後の 5000 行に切り捨てられました。
00:00:49,800 -> 00:00:50,220
complain

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music

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antrustions

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get

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the

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news

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and

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{'word': 'weather', 'start_time': 52.9, 'duration': 0.58}

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weather

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create

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to

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do

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less

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and

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much

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more

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as

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but

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a

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work

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to

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day

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every

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one

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in

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five

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{'word': 'american', 'start_time': 59.02, 'duration': 0.32}

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american

149
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149
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households

150
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has

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a

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smart

153
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speaker

154
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most

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made

156
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by

157
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amazon

158
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guana

159
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and

160
{'word': 'their', 'start_time': 63.96, 'duration': 0.16}

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their

161
{'word': 'technology', 'start_time': 64.16, 'duration': 0.44}

161
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technology

162
{'word': "doesn't", 'start_time': 64.68, 'duration': 0.26}

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doesn't

163
{'word': 'just', 'start_time': 64.98, 'duration': 0.16}

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just

164
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sit

165
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on

166
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table

167
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top

168
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any

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more

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you

171
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can

172
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find

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alexin

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your

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ears

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or

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177
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178
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178
00:01:09,080 -> 00:01:09,240
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179
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179
00:01:09,300 -> 00:01:09,560
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180
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180
00:01:09,620 -> 00:01:09,720
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181
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181
00:01:09,800 -> 00:01:09,960
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182
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182
00:01:10,040 -> 00:01:10,060
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183
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183
00:01:10,100 -> 00:01:10,740
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184
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184
00:01:10,840 -> 00:01:11,020
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185
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185
00:01:11,080 -> 00:01:11,300
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186
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186
00:01:11,380 -> 00:01:11,520
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187
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00:01:11,620 -> 00:01:11,700
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188
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188
00:01:11,720 -> 00:01:11,840
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189
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189
00:01:11,880 -> 00:01:11,920
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190
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190
00:01:11,960 -> 00:01:12,080
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191
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191
00:01:12,120 -> 00:01:13,260
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192
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192
00:01:13,300 -> 00:01:13,380
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193
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193
00:01:13,400 -> 00:01:13,500
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194
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194
00:01:13,540 -> 00:01:13,700
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195
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195
00:01:13,760 -> 00:01:13,940
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196
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196
00:01:13,980 -> 00:01:14,280
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197
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197
00:01:14,380 -> 00:01:14,720
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198
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198
00:01:14,780 -> 00:01:15,000
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199
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199
00:01:15,060 -> 00:01:15,220
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200
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200
00:01:15,280 -> 00:01:15,580
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201
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201
00:01:15,620 -> 00:01:16,260
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202
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202
00:01:16,380 -> 00:01:16,720
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203
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203
00:01:16,800 -> 00:01:17,180
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204
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204
00:01:17,280 -> 00:01:17,360
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205
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205
00:01:17,420 -> 00:01:18,500
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206
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206
00:01:18,600 -> 00:01:18,680
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207
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207
00:01:18,720 -> 00:01:18,780
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208
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208
00:01:18,800 -> 00:01:18,920
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209
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209
00:01:18,980 -> 00:01:19,160
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210
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210
00:01:19,200 -> 00:01:19,260
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211
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211
00:01:19,320 -> 00:01:19,380
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212
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212
00:01:19,440 -> 00:01:19,860
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213
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213
00:01:19,960 -> 00:01:20,540
tagger

214
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214
00:01:20,620 -> 00:01:20,700
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215
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215
00:01:20,720 -> 00:01:20,800
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216
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216
00:01:20,880 -> 00:01:21,000
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217
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217
00:01:21,080 -> 00:01:21,320
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218
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218
00:01:21,360 -> 00:01:21,440
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219
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219
00:01:21,480 -> 00:01:21,600
your

220
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220
00:01:21,660 -> 00:01:21,860
kids

221
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221
00:01:21,900 -> 00:01:22,000
to

222
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222
00:01:22,040 -> 00:01:23,200
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223
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223
00:01:23,280 -> 00:01:23,340
and

224
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224
00:01:23,420 -> 00:01:25,000
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225
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225
00:01:25,080 -> 00:01:25,480
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226
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226
00:01:25,580 -> 00:01:25,640
a

227
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227
00:01:25,680 -> 00:01:26,000
hundred

228
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228
00:01:26,080 -> 00:01:26,380
thousand

229
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229
00:01:26,420 -> 00:01:26,660
different

230
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230
00:01:26,720 -> 00:01:28,200
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231
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231
00:01:28,240 -> 00:01:28,340
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232
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232
00:01:28,400 -> 00:01:28,520
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233
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233
00:01:28,560 -> 00:01:28,680
this

234
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234
00:01:28,720 -> 00:01:29,260
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235
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235
00:01:29,340 -> 00:01:29,520
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236
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236
00:01:29,580 -> 00:01:29,700
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237
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237
00:01:29,760 -> 00:01:29,840
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238
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238
00:01:29,880 -> 00:01:29,940
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239
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239
00:01:30,000 -> 00:01:30,360
expense

240
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240
00:01:30,440 -> 00:01:30,520
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241
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241
00:01:30,600 -> 00:01:30,720
some

242
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242
00:01:30,780 -> 00:01:30,840
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243
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243
00:01:30,920 -> 00:01:31,020
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244
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244
00:01:31,100 -> 00:01:32,020
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245
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245
00:01:32,120 -> 00:01:32,180
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246
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246
00:01:32,240 -> 00:01:32,320
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247
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247
00:01:32,340 -> 00:01:32,560
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248
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248
00:01:32,640 -> 00:01:33,380
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249
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249
00:01:33,500 -> 00:01:33,600
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250
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250
00:01:33,660 -> 00:01:33,740
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251
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251
00:01:33,760 -> 00:01:33,860
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252
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252
00:01:33,960 -> 00:01:34,180
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253
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253
00:01:34,240 -> 00:01:34,480
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254
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254
00:01:34,580 -> 00:01:34,820
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255
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255
00:01:34,900 -> 00:01:35,000
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256
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256
00:01:35,040 -> 00:01:35,180
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257
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257
00:01:35,260 -> 00:01:35,420
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258
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258
00:01:35,540 -> 00:01:44,980
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259
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259
00:01:45,020 -> 00:01:45,080
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260
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260
00:01:45,140 -> 00:01:45,280
first

261
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261
00:01:45,300 -> 00:01:45,420
thing

262
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262
00:01:45,460 -> 00:01:45,520
to

263
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263
00:01:45,560 -> 00:01:45,940
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264
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264
00:01:46,020 -> 00:01:46,080
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265
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265
00:01:46,120 -> 00:01:46,260
that

266
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266
00:01:46,300 -> 00:01:46,580
smart

267
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267
00:01:46,620 -> 00:01:47,040
speakers

268
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268
00:01:47,140 -> 00:01:47,220
are

269
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269
00:01:47,340 -> 00:01:47,560
actually

270
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270
00:01:47,600 -> 00:01:47,780
that

271
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271
00:01:47,820 -> 00:01:48,940
smartly

272
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272
00:01:49,000 -> 00:01:49,420
sesame

273
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273
00:01:49,460 -> 00:01:49,580
like

274
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274
00:01:49,620 -> 00:01:49,800
there's

275
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275
00:01:49,820 -> 00:01:49,840
a

276
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276
00:01:49,880 -> 00:01:49,960
lot

277
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277
00:01:50,020 -> 00:01:50,100
more

278
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278
00:01:50,120 -> 00:01:50,300
going

279
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279
00:01:50,380 -> 00:01:50,480
on

280
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280
00:01:50,500 -> 00:01:50,600
than

281
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281
00:01:50,620 -> 00:01:50,800
there

282
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282
00:01:50,900 -> 00:01:51,120
is

283
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283
00:01:51,280 -> 00:01:51,440
sir

284
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284
00:01:51,480 -> 00:01:52,160
moreover

285
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285
00:01:52,260 -> 00:01:52,540
personal

286
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286
00:01:52,680 -> 00:01:52,920
data

287
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287
00:01:52,980 -> 00:01:53,060
and

288
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288
00:01:53,100 -> 00:01:53,540
privacy

289
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289
00:01:53,600 -> 00:01:53,720
for

290
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290
00:01:53,760 -> 00:01:54,620
reconnaissant

291
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291
00:01:54,640 -> 00:01:55,720
ally

292
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292
00:01:55,820 -> 00:01:55,920
it's

293
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293
00:01:55,960 -> 00:01:56,020
a

294
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294
00:01:56,040 -> 00:01:57,020
microphone

295
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295
00:01:57,040 -> 00:01:57,140
that

296
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296
00:01:57,180 -> 00:01:57,500
connects

297
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297
00:01:57,540 -> 00:01:57,920
two

298
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298
00:01:57,980 -> 00:01:58,800
internet

299
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299
00:01:58,860 -> 00:01:58,960
when

300
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300
00:01:59,000 -> 00:01:59,020
i

301
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301
00:01:59,100 -> 00:01:59,240
ask

302
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302
00:01:59,300 -> 00:01:59,360
it

303
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303
00:01:59,400 -> 00:01:59,560
about

304
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304
00:01:59,600 -> 00:01:59,700
the

305
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305
00:01:59,740 -> 00:02:00,440
weather

306
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306
00:02:00,540 -> 00:02:01,420
alexia's

307
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307
00:02:01,480 -> 00:02:01,540
the

308
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308
00:02:01,580 -> 00:02:02,640
temperature

309
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309
00:02:02,820 -> 00:02:02,940
it's

310
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310
00:02:03,020 -> 00:02:03,160
not

311
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311
00:02:03,220 -> 00:02:03,320
the

312
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312
00:02:03,360 -> 00:02:03,480
thing

313
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313
00:02:03,540 -> 00:02:03,640
that

314
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314
00:02:03,700 -> 00:02:03,900
finds

315
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315
00:02:04,000 -> 00:02:04,060
the

316
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316
00:02:04,120 -> 00:02:04,900
temperature

317
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317
00:02:05,020 -> 00:02:05,080
it

318
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318
00:02:05,120 -> 00:02:05,300
just

319
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319
00:02:05,340 -> 00:02:05,660
records

320
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320
00:02:05,700 -> 00:02:05,800
my

321
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321
00:02:05,880 -> 00:02:06,460
question

322
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322
00:02:06,620 -> 00:02:06,800
sends

323
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323
00:02:06,880 -> 00:02:07,360
erecting

324
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324
00:02:07,400 -> 00:02:07,480
to

325
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325
00:02:07,540 -> 00:02:07,600
an

326
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326
00:02:07,680 -> 00:02:08,080
amazon

327
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327
00:02:08,120 -> 00:02:08,420
server

328
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328
00:02:08,520 -> 00:02:08,700
which

329
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329
00:02:08,800 -> 00:02:09,380
analyzes

330
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330
00:02:09,460 -> 00:02:09,580
it

331
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331
00:02:09,700 -> 00:02:09,780
and

332
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332
00:02:09,840 -> 00:02:10,040
finds

333
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333
00:02:10,100 -> 00:02:10,160
the

334
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334
00:02:10,220 -> 00:02:11,140
temperature

335
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335
00:02:11,200 -> 00:02:11,440
right

336
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336
00:02:11,560 -> 00:02:11,780
now

337
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337
00:02:11,900 -> 00:02:12,020
it's

338
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338
00:02:12,060 -> 00:02:12,340
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339
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339
00:02:12,380 -> 00:02:12,500
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340
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340
00:02:12,520 -> 00:02:12,920
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341
00:02:13,020 -> 00:02:14,280
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342
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342
00:02:14,320 -> 00:02:14,440
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343
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343
00:02:14,580 -> 00:02:14,640
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344
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344
00:02:14,700 -> 00:02:15,060
genius

345
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345
00:02:15,120 -> 00:02:15,460
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346
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346
00:02:15,540 -> 00:02:16,060
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347
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347
00:02:16,140 -> 00:02:16,240
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348
00:02:16,300 -> 00:02:16,500
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349
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349
00:02:16,540 -> 00:02:16,740
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350
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350
00:02:16,800 -> 00:02:16,880
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351
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351
00:02:16,940 -> 00:02:17,320
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352
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00:02:17,400 -> 00:02:17,600
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00:02:17,780 -> 00:02:18,800
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00:02:18,920 -> 00:02:18,980
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355
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00:02:19,220 -> 00:02:19,280
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00:02:19,340 -> 00:02:19,500
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358
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358
00:02:19,560 -> 00:02:19,780
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359
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359
00:02:19,840 -> 00:02:19,940
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360
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360
00:02:20,060 -> 00:02:20,660
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361
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361
00:02:20,780 -> 00:02:21,140
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362
00:02:21,200 -> 00:02:21,620
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00:02:21,720 -> 00:02:22,540
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364
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00:02:22,640 -> 00:02:22,700
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365
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365
00:02:22,740 -> 00:02:22,840
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366
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366
00:02:22,880 -> 00:02:23,260
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367
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367
00:02:23,300 -> 00:02:23,560
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368
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368
00:02:23,660 -> 00:02:23,700
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369
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369
00:02:23,760 -> 00:02:23,960
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370
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370
00:02:24,000 -> 00:02:24,120
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371
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371
00:02:24,160 -> 00:02:24,260
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372
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372
00:02:24,320 -> 00:02:24,420
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373
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373
00:02:24,540 -> 00:02:24,940
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374
00:02:25,020 -> 00:02:25,140
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375
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375
00:02:25,240 -> 00:02:25,640
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376
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00:02:25,740 -> 00:02:26,240
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00:02:26,340 -> 00:02:26,540
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378
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00:02:26,600 -> 00:02:26,660
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379
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379
00:02:26,700 -> 00:02:26,980
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380
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380
00:02:27,020 -> 00:02:27,580
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381
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381
00:02:27,800 -> 00:02:28,300
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382
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382
00:02:28,380 -> 00:02:28,620
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383
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383
00:02:28,760 -> 00:02:28,900
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384
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384
00:02:28,940 -> 00:02:29,060
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385
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385
00:02:29,120 -> 00:02:29,240
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386
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386
00:02:29,260 -> 00:02:29,480
somewhat

387
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387
00:02:29,520 -> 00:02:30,480
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388
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388
00:02:30,560 -> 00:02:30,800
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389
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389
00:02:30,920 -> 00:02:31,020
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390
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390
00:02:31,080 -> 00:02:31,540
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391
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391
00:02:31,580 -> 00:02:32,520
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392
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392
00:02:32,580 -> 00:02:32,640
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393
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393
00:02:32,680 -> 00:02:33,300
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394
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394
00:02:33,420 -> 00:02:33,700
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395
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395
00:02:33,760 -> 00:02:33,820
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396
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396
00:02:33,880 -> 00:02:33,920
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397
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397
00:02:33,960 -> 00:02:34,260
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398
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398
00:02:34,340 -> 00:02:34,860
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399
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399
00:02:34,960 -> 00:02:35,260
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400
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400
00:02:35,380 -> 00:02:35,520
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401
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401
00:02:35,580 -> 00:02:35,680
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402
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402
00:02:35,740 -> 00:02:35,980
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403
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403
00:02:36,020 -> 00:02:36,280
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404
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404
00:02:36,360 -> 00:02:36,680
owners

405
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405
00:02:36,840 -> 00:02:37,280
incorrectly

406
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406
00:02:37,340 -> 00:02:37,680
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407
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407
00:02:37,700 -> 00:02:37,880
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408
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408
00:02:37,940 -> 00:02:38,180
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409
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409
00:02:38,220 -> 00:02:38,360
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410
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410
00:02:38,460 -> 00:02:38,700
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411
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411
00:02:38,760 -> 00:02:38,960
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412
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412
00:02:39,020 -> 00:02:39,860
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413
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413
00:02:39,960 -> 00:02:40,080
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414
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414
00:02:40,140 -> 00:02:40,240
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415
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415
00:02:40,340 -> 00:02:40,420
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416
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416
00:02:40,520 -> 00:02:41,400
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417
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417
00:02:41,560 -> 00:02:41,620
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418
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418
00:02:41,660 -> 00:02:41,940
forty

419
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419
00:02:42,000 -> 00:02:42,180
seven

420
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420
00:02:42,240 -> 00:02:42,340
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421
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421
00:02:42,380 -> 00:02:42,580
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422
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422
00:02:42,660 -> 00:02:42,840
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423
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423
00:02:42,920 -> 00:02:42,960
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424
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424
00:02:42,980 -> 00:02:43,060
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425
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425
00:02:43,120 -> 00:02:44,780
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426
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426
00:02:44,860 -> 00:02:44,920
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427
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427
00:02:44,940 -> 00:02:45,020
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428
00:02:45,060 -> 00:02:45,240
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429
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429
00:02:45,260 -> 00:02:45,340
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430
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430
00:02:45,380 -> 00:02:45,660
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431
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431
00:02:45,720 -> 00:02:45,780
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432
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432
00:02:45,820 -> 00:02:45,940
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433
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433
00:02:45,980 -> 00:02:46,180
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434
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434
00:02:46,220 -> 00:02:46,300
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435
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435
00:02:46,340 -> 00:02:46,440
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436
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436
00:02:46,480 -> 00:02:46,620
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437
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437
00:02:46,680 -> 00:02:47,600
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438
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438
00:02:47,700 -> 00:02:47,800
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439
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439
00:02:47,860 -> 00:02:47,980
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440
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440
00:02:48,020 -> 00:02:48,080
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441
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441
00:02:48,140 -> 00:02:48,280
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442
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442
00:02:48,340 -> 00:02:48,800
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443
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443
00:02:48,900 -> 00:02:49,000
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444
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444
00:02:49,080 -> 00:02:50,600
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445
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445
00:02:50,640 -> 00:02:50,860
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446
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446
00:02:50,940 -> 00:02:51,160
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447
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447
00:02:51,320 -> 00:02:51,380
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448
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448
00:02:51,420 -> 00:02:52,080
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449
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449
00:02:52,120 -> 00:02:52,200
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450
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450
00:02:52,260 -> 00:02:52,360
his

451
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451
00:02:52,400 -> 00:02:53,820
thereat

452
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452
00:02:53,900 -> 00:02:54,120
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00:02:54,160 -> 00:02:54,280
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454
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454
00:02:54,320 -> 00:02:54,540
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455
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455
00:02:54,580 -> 00:02:54,660
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456
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456
00:02:54,700 -> 00:02:54,820
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457
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457
00:02:54,860 -> 00:02:55,520
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458
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458
00:02:55,580 -> 00:02:55,760
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459
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459
00:02:55,840 -> 00:02:56,060
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460
00:02:56,080 -> 00:02:56,740
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461
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461
00:02:56,780 -> 00:02:56,920
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462
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462
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463
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463
00:02:57,440 -> 00:02:57,580
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464
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464
00:02:57,640 -> 00:02:57,760
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465
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465
00:02:57,820 -> 00:02:58,040
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466
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466
00:02:58,260 -> 00:02:59,020
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467
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467
00:02:59,100 -> 00:02:59,160
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468
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468
00:02:59,200 -> 00:02:59,340
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469
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469
00:02:59,400 -> 00:02:59,540
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470
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470
00:02:59,620 -> 00:02:59,740
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471
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471
00:02:59,800 -> 00:02:59,940
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472
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472
00:02:59,980 -> 00:03:00,240
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473
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473
00:03:00,320 -> 00:03:00,680
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474
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474
00:03:00,700 -> 00:03:00,780
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475
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475
00:03:00,820 -> 00:03:00,880
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476
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476
00:03:00,920 -> 00:03:01,140
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477
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477
00:03:01,200 -> 00:03:01,460
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478
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478
00:03:01,620 -> 00:03:01,720
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479
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479
00:03:01,780 -> 00:03:02,140
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480
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480
00:03:02,200 -> 00:03:02,240
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481
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481
00:03:02,280 -> 00:03:02,360
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482
00:03:02,400 -> 00:03:02,740
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483
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483
00:03:02,820 -> 00:03:03,320
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484
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484
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485
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485
00:03:03,540 -> 00:03:03,680
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486
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486
00:03:03,740 -> 00:03:03,760
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487
00:03:03,800 -> 00:03:04,340
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488
00:03:04,400 -> 00:03:04,500
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489
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489
00:03:04,560 -> 00:03:04,680
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490
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490
00:03:04,720 -> 00:03:05,000
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491
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491
00:03:05,060 -> 00:03:05,080
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492
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492
00:03:05,180 -> 00:03:05,300
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493
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493
00:03:05,360 -> 00:03:05,500
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494
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494
00:03:05,540 -> 00:03:05,720
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495
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495
00:03:05,780 -> 00:03:05,940
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496
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496
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497
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497
00:03:06,700 -> 00:03:06,760
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498
00:03:06,780 -> 00:03:06,980
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499
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499
00:03:07,080 -> 00:03:07,280
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500
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613
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617
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618
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619
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621
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623
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629
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636
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643
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645
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650
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655
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656
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657
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657
00:04:02,400 -> 00:04:02,440
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658
00:04:02,480 -> 00:04:02,740
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659
00:04:02,780 -> 00:04:10,780
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660
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660
00:04:10,840 -> 00:04:10,940
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661
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662
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663
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663
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664
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665
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666
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666
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667
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667
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668
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668
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669
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669
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670
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671
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672
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673
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673
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674
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674
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675
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675
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676
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676
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677
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677
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678
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678
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679
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681
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682
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682
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683
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684
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685
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686
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686
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687
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687
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688
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688
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689
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690
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690
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691
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691
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693
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693
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695
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696
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696
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697
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698
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699
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699
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700
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701
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701
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702
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703
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703
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704
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704
00:04:29,880 -> 00:04:30,000
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705
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705
00:04:30,040 -> 00:04:30,240
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706
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706
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707
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707
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708
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708
00:04:31,520 -> 00:04:31,820
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709
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709
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710
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710
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711
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711
00:04:32,640 -> 00:04:34,900
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712
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712
00:04:34,940 -> 00:04:35,020
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713
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713
00:04:35,040 -> 00:04:35,240
many

714
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714
00:04:35,280 -> 00:04:35,460
people

715
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715
00:04:35,500 -> 00:04:35,620
as

716
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716
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possible

717
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717
00:04:36,260 -> 00:04:36,340
to

718
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718
00:04:36,380 -> 00:04:37,580
sorting

719
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719
00:04:37,660 -> 00:04:38,360
it

720
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720
00:04:38,420 -> 00:04:38,600
fixed

721
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721
00:04:38,660 -> 00:04:38,680
a

722
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722
00:04:38,720 -> 00:04:38,980
public

723
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723
00:04:39,040 -> 00:04:39,360
pressure

724
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724
00:04:39,480 -> 00:04:40,800
technicalities

725
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725
00:04:40,860 -> 00:04:40,960
to

726
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726
00:04:41,080 -> 00:04:41,200
act

727
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727
00:04:41,260 -> 00:04:41,340
out

728
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728
00:04:41,420 -> 00:04:41,560
of

729
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729
00:04:41,620 -> 00:04:41,820
some

730
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730
00:04:41,880 -> 00:04:44,220
detachement

731
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731
00:04:44,260 -> 00:04:44,360
you

732
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732
00:04:44,420 -> 00:04:44,580
can

733
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733
00:04:44,600 -> 00:04:44,720
set

734
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734
00:04:44,760 -> 00:04:44,880
your

735
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735
00:04:44,920 -> 00:04:45,300
recordings

736
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736
00:04:45,360 -> 00:04:45,460
to

737
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737
00:04:45,540 -> 00:04:46,100
automatically

738
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738
00:04:46,220 -> 00:04:46,340
to

739
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739
00:04:46,380 -> 00:04:46,840
let

740
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740
00:04:47,000 -> 00:04:47,180
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741
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741
00:04:47,260 -> 00:04:47,580
prevent

742
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742
00:04:47,660 -> 00:04:48,000
amazon

743
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743
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744
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744
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745
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745
00:04:48,460 -> 00:04:48,580
your

746
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746
00:04:48,620 -> 00:04:49,020
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747
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747
00:04:49,080 -> 00:04:49,140
to

748
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748
00:04:49,220 -> 00:04:49,360
train

749
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749
00:04:49,440 -> 00:04:49,540
its

750
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750
00:04:49,600 -> 00:04:50,560
system

751
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751
00:04:50,680 -> 00:04:50,900
google

752
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752
00:04:50,960 -> 00:04:51,060
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753
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753
00:04:51,100 -> 00:04:51,160
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754
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754
00:04:51,220 -> 00:04:51,460
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755
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755
00:04:51,500 -> 00:04:51,600
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756
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756
00:04:51,640 -> 00:04:51,800
turn

757
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757
00:04:51,860 -> 00:04:52,000
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758
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758
00:04:52,100 -> 00:04:52,240
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759
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759
00:04:52,280 -> 00:04:53,620
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760
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760
00:04:53,660 -> 00:04:53,760
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761
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761
00:04:53,800 -> 00:04:54,140
reason

762
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762
00:04:54,180 -> 00:04:54,280
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763
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763
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764
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764
00:04:54,500 -> 00:04:54,640
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765
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765
00:04:54,700 -> 00:04:54,800
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766
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766
00:04:54,820 -> 00:04:54,900
that

767
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767
00:04:54,960 -> 00:04:55,020
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768
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768
00:04:55,040 -> 00:04:55,260
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769
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769
00:04:55,300 -> 00:04:55,420
they

770
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770
00:04:55,460 -> 00:04:55,900
cannot

771
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771
00:04:55,980 -> 00:04:56,080
in

772
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772
00:04:56,120 -> 00:04:57,240
trouble

773
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773
00:04:57,280 -> 00:04:57,380
for

774
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774
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people

775
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775
00:04:57,680 -> 00:04:57,780
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776
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776
00:04:57,820 -> 00:04:57,960
found

777
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777
00:04:58,000 -> 00:04:58,080
the

778
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778
00:04:58,120 -> 00:04:58,440
neighing

779
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779
00:04:58,540 -> 00:04:58,660
they

780
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780
00:04:58,700 -> 00:04:58,860
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781
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781
00:04:58,880 -> 00:04:58,980
know

782
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782
00:04:59,000 -> 00:04:59,160
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783
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783
00:04:59,200 -> 00:04:59,300
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784
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784
00:04:59,380 -> 00:05:00,060
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785
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785
00:05:00,080 -> 00:05:00,200
to

786
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786
00:05:00,260 -> 00:05:01,760
asmanshausen

787
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787
00:05:01,780 -> 00:05:01,900
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788
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788
00:05:01,920 -> 00:05:02,020
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789
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789
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790
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790
00:05:02,100 -> 00:05:02,200
catch

791
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791
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them

792
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792
00:05:02,440 -> 00:05:02,640
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793
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793
00:05:02,680 -> 00:05:03,740
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794
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794
00:05:03,820 -> 00:05:03,860
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795
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795
00:05:03,900 -> 00:05:04,080
ten

796
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796
00:05:04,120 -> 00:05:04,580
tonight

797
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797
00:05:04,700 -> 00:05:05,640
now

798
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798
00:05:05,680 -> 00:05:05,780
the

799
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799
00:05:05,820 -> 00:05:07,060
hugeous

800
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800
00:05:07,120 -> 00:05:07,440
beaker

801
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801
00:05:07,500 -> 00:05:07,700
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802
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802
00:05:07,740 -> 00:05:07,840
that

803
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803
00:05:07,880 -> 00:05:08,160
we

804
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804
00:05:08,240 -> 00:05:08,440
already

805
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805
00:05:08,540 -> 00:05:08,780
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806
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806
00:05:08,860 -> 00:05:08,940
a

807
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807
00:05:09,000 -> 00:05:09,160
new

808
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808
00:05:09,240 -> 00:05:09,520
wave

809
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809
00:05:09,620 -> 00:05:09,680
of

810
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810
00:05:09,720 -> 00:05:10,500
technology

811
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811
00:05:10,560 -> 00:05:10,740
made

812
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812
00:05:10,780 -> 00:05:10,900
by

813
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813
00:05:10,980 -> 00:05:11,380
companies

814
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814
00:05:11,420 -> 00:05:11,620
whose

815
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815
00:05:11,700 -> 00:05:11,940
goal

816
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816
00:05:12,020 -> 00:05:12,100
is

817
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817
00:05:12,160 -> 00:05:12,260
to

818
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818
00:05:12,300 -> 00:05:12,540
learn

819
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819
00:05:12,640 -> 00:05:12,960
everything

820
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820
00:05:13,020 -> 00:05:13,160
they

821
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821
00:05:13,220 -> 00:05:13,380
can

822
{'word': 'about', 'start_time': 313.42, 'duration': 0.2}

822
00:05:13,420 -> 00:05:13,620
about

823
{'word': 'us', 'start_time': 313.7, 'duration': 1.1}

823
00:05:13,700 -> 00:05:14,800
us

824
{'word': 'and', 'start_time': 314.88, 'duration': 0.06}

824
00:05:14,880 -> 00:05:14,940
and

825
{'word': 'what', 'start_time': 314.98, 'duration': 0.1}

825
00:05:14,980 -> 00:05:15,080
what

826
{'word': 'they', 'start_time': 315.12, 'duration': 0.1}

826
00:05:15,120 -> 00:05:15,220
they

827
{'word': 'might', 'start_time': 315.26, 'duration': 0.14}

827
00:05:15,260 -> 00:05:15,400
might

828
{'word': 'do', 'start_time': 315.44, 'duration': 0.12}

828
00:05:15,440 -> 00:05:15,560
do

829
{'word': 'with', 'start_time': 315.58, 'duration': 0.1}

829
00:05:15,580 -> 00:05:15,680
with

830
{'word': 'that', 'start_time': 315.7, 'duration': 0.1}

830
00:05:15,700 -> 00:05:15,800
that

831
{'word': 'information', 'start_time': 315.88, 'duration': 0.76}

831
00:05:15,880 -> 00:05:16,640
information

832
{'word': 'is', 'start_time': 316.8, 'duration': 0.1}

832
00:05:16,800 -> 00:05:16,900
is

833
{'word': 'still', 'start_time': 316.92, 'duration': 0.16}

833
00:05:16,920 -> 00:05:17,080
still

834
{'word': 'a', 'start_time': 317.14, 'duration': 0.02}

834
00:05:17,140 -> 00:05:17,160
a

835
{'word': 'mystery', 'start_time': 317.22, 'duration': 3.58}

835
00:05:17,220 -> 00:05:20,800
mystery

836
{'word': 'to', 'start_time': 320.84, 'duration': 1.76}

836
00:05:20,840 -> 00:05:22,600
to

837
{'word': 'teetotalism', 'start_time': 322.64, 'duration': 8.98}

837
00:05:22,640 -> 00:05:31,620
teetotalism

一単語現れるごとにタイムが出る形式になので長いです。
普通は字幕は文章になりかけで表示されるものなので、そのようにある程度の文章になるところでかためるひつようがありますね。
何秒くらいのインターバルで文章をとらえて、何秒くらい表示されているのが字幕でしょうか？というバランスを考慮したアルゴリズムを考える。
つづく・・・

Rf.
Do DeepSpeech have subtitle (SRT) output mode? How can I merge words into the proper sentences?
https://discourse.mozilla.org/t/do-deepspeech-have-subtitle-srt-output-mode-how-can-i-merge-words-into-the-proper-sentences/68749/10?u=haywhnk

Rf.
https://ja.wikipedia.org/wiki/%E6%B8%85%E6%B0%B4%E4%BF%8A%E4%BA%8C