key stringlengths 10 34 | suggestion stringlengths 36 210 | source_text stringlengths 3 428 | target_text stringlengths 3 428 | raw_wav stringlengths 53 116 | target_wav stringlengths 26 89 | raw_audio_token listlengths 4 1.24k | refined_audio_token listlengths 42 1.25k | neutral_speaker_wav stringlengths 41 72 |
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Emotion_Speech_Dataset_0020_000894 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, insert a pause after 'Yes' and stress the word 'miss'. | Yes, I miss her. | Yes, I miss her. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000894.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000894.wav | [
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Emotion_Speech_Dataset_0020_000821 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'Finn', insert a pause after 'Finn', and stress the word 'fairy'. | Finn and the fairy shoemaker. | Finn and the fairy shoemaker. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000821.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000821.wav | [
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Emotion_Speech_Dataset_0020_000799 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'wrong' and stress the word 'nose'. | I've hit the wrong nose. | I've hit the wrong nose. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000799.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000799.wav | [
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Emotion_Speech_Dataset_0020_000922 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'god' and insert a pause after 'god'. | Ask god to help you. | Ask god to help you. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000922.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000922.wav | [
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Emotion_Speech_Dataset_0020_000963 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'subdued' and insert a pause after 'said'. | She said in subdued voice. | She said in subdued voice. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000963.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000963.wav | [
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Emotion_Speech_Dataset_0020_001012 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'Father', insert a pause after 'Father', and insert a pause after 'has'. | Father has yellow eyes. | Father has yellow eyes. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001012.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001012.wav | [
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Emotion_Speech_Dataset_0020_000745 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'nastiest', insert a pause after 'saw', and stress the word 'cobwebs'. | The nastiest things they saw were the cobwebs. | The nastiest things they saw were the cobwebs. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000745.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000745.wav | [
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Emotion_Speech_Dataset_0020_000985 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'straw' and stress the word 'charcoal'. | The straw, charcoal and the pea. | The straw, charcoal and the pea. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000985.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000985.wav | [
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Emotion_Speech_Dataset_0020_000733 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'This', insert a pause after 'This', and stress the word 'Jerry's'. | This used to be Jerry's occupation. | This used to be Jerry's occupation. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000733.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000733.wav | [
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Emotion_Speech_Dataset_0020_001037 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'mom' and stress the word 'certain'. | But mom I'm not certain about. | But mom I'm not certain about. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001037.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001037.wav | [
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Emotion_Speech_Dataset_0020_000864 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'large' and stress the word 'sneer'. | His large mouth curled into a sneer. | His large mouth curled into a sneer. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000864.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000864.wav | [
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Emotion_Speech_Dataset_0019_000794 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'cow', insert a pause after 'cow', and stress the word 'field'. | They found a cow grazing in a field. | They found a cow grazing in a field. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000794.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000794.wav | [
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Emotion_Speech_Dataset_0020_000724 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'football' and stress the word 'tea'. | The football teams give a tea party. | The football teams give a tea party. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000724.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000724.wav | [
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Emotion_Speech_Dataset_0020_000928 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'no', stress the word 'way!', and insert a pause after 'way!'. | It says no way! shouted Daisy. | It says no way! shouted Daisy. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000928.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000928.wav | [
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Emotion_Speech_Dataset_0020_001040 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'night', insert a pause after 'night', and stress the word 'daylight'. | So Tom saw night as it were broad daylight. | So Tom saw night as it were broad daylight. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001040.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001040.wav | [
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Emotion_Speech_Dataset_0020_000706 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'gyre' and stress the word 'gimble'. | Andy what's the gyre and to gimble. | Andy what's the gyre and to gimble. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000706.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000706.wav | [
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Emotion_Speech_Dataset_0020_001018 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'name', insert a pause after 'song', and stress the word 'haddocks'. | The name of the song is called haddocks. | The name of the song is called haddocks. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001018.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001018.wav | [
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Emotion_Speech_Dataset_0020_000830 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'And', insert a pause after 'And', and stress the word 'spoil'. | And would spoil my joke. | And would spoil my joke. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000830.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000830.wav | [
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Emotion_Speech_Dataset_0020_000723 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'old' and stress the word 'are'. | I thought you meant how old are you? | I thought you meant how old are you? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000723.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000723.wav | [
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Emotion_Speech_Dataset_0020_001019 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'How', stress the word 'dig', and stress the word 'short'. | How could I dig burrows with short toe nails? | How could I dig burrows with short toe nails? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001019.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001019.wav | [
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Emotion_Speech_Dataset_0020_000858 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'much'. | it looks much better. | it looks much better. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000858.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000858.wav | [
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Emotion_Speech_Dataset_0018_001045 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'noise'. | A whirring noise was heard. | A whirring noise was heard. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_001045.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_001045.wav | [
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Emotion_Speech_Dataset_0020_000913 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'chance,', insert a pause after 'chance,', and stress the word 'precious.'. | Let it give us a chance, my precious. | Let it give us a chance, my precious. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000913.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000913.wav | [
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Emotion_Speech_Dataset_0018_001446 | Say this sentence with emotion of surprised, at a moderate speed and high pitch. Specifically, stress the word 'never' and stress the word 'regular'. | They'd never know I'd regular ran away. | They'd never know I'd regular ran away. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Surprise/0018_001446.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Surprise/0018_001446.wav | [
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Emotion_Speech_Dataset_0019_000834 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'Rare' and stress the word 'little'. | Rare rabbit had a little apron. | Rare rabbit had a little apron. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000834.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000834.wav | [
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Emotion_Speech_Dataset_0020_001030 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'keeps'. | She keeps saying I'm hers. | She keeps saying I'm hers. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001030.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001030.wav | [
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Emotion_Speech_Dataset_0020_000976 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'name' and stress the word 'more'. | Can your name be more hilarious? | Can your name be more hilarious? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000976.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000976.wav | [
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Actor_04_03-01-05-01-02-01-04 | Say this sentence with emotion of angry, at a moderate speed and high pitch. Specifically, stress the word 'Dogs' and stress the word 'sitting'. | Dogs are sitting by the door | Dogs are sitting by the door | audio/TTS_results_zeroshot_train/RAVDESS/Actor_04/03-01-05-01-02-01-04.wav | audio/RAVDESS/Actor_04/03-01-05-01-02-01-04.wav | [
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Emotion_Speech_Dataset_0020_000876 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'smiled', insert a pause after 'calmly', and stress the word 'best'. | She just smiled calmly, mother knows that is the best smile. | She just smiled calmly, mother knows that is the best smile. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000876.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000876.wav | [
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Emotion_Speech_Dataset_0020_000991 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'end', insert a pause after 'end', and stress the word 'fourteenth'. | The end of February fourteenth. | The end of February fourteenth. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000991.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000991.wav | [
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Emotion_Speech_Dataset_0020_000791 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'expected' and stress the word 'joy'. | We expected Tom would jump for joy. | We expected Tom would jump for joy. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000791.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000791.wav | [
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Emotion_Speech_Dataset_0020_001543 | Say this sentence with emotion of surprised, at a slow speed and high pitch. Specifically, stress the word 'sit' and stress the word 'sing'. | Pussy can sit by the fire and sing. | Pussy can sit by the fire and sing. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Surprise/0020_001543.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Surprise/0020_001543.wav | [
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Emotion_Speech_Dataset_0014_000684 | Say this sentence with emotion of angry, at a slow speed and high pitch. Specifically, stress the word 'one', insert a pause after 'one', and stress the word 'thousand'. | Another one, ten thousand dollars. | Another one, ten thousand dollars. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0014/Angry/0014_000684.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0014/Angry/0014_000684.wav | [
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Emotion_Speech_Dataset_0020_000818 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'Look', stress the word 'out', and insert a pause after 'out'. | Look out! said Alice. | Look out! said Alice. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000818.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000818.wav | [
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Emotion_Speech_Dataset_0020_001014 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'new'. | Bob goes to a new school. | Bob goes to a new school. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001014.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001014.wav | [
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Emotion_Speech_Dataset_0014_001196 | Say this sentence with emotion of sad, at a slow speed and moderate pitch. Specifically, stress the word 'Jack', insert a pause after 'Jack', and stress the word 'chatterer'. | He said to Jack, the chatterer. | He said to Jack, the chatterer. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0014/Sad/0014_001196.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0014/Sad/0014_001196.wav | [
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Emotion_Speech_Dataset_0020_000768 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'I', stress the word 'not', and stress the word 'bread'. | I do not eat bread. | I do not eat bread. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000768.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000768.wav | [
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Emotion_Speech_Dataset_0020_000792 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'wins' and insert a pause after 'wins'. | Does the one that wins get the crowned? | Does the one that wins get the crowned? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000792.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000792.wav | [
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Emotion_Speech_Dataset_0020_000968 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'showed' and stress the word 'no'. | He showed no signs of age. | He showed no signs of age. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000968.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000968.wav | [
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Emotion_Speech_Dataset_0020_001003 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'loath' and insert a pause after 'loath'. | I am loath to see him go. | I am loath to see him go. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001003.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001003.wav | [
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Emotion_Speech_Dataset_0018_000793 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'two' and stress the word 'pork'. | To buy two pork chops. | To buy two pork chops. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000793.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000793.wav | [
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Emotion_Speech_Dataset_0020_000995 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'know', insert a pause after 'know', and stress the word 'obey'. | I know how to obey orders. | I know how to obey orders. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000995.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000995.wav | [
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Emotion_Speech_Dataset_0020_000851 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'China', insert a pause after 'China', and stress the word 'home'. | All the way to China is home. | All the way to China is home. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000851.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000851.wav | [
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Emotion_Speech_Dataset_0020_000866 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'beef', insert a pause after 'beef', and stress the word 'butcher'. | They ate beef at the butcher shop. | They ate beef at the butcher shop. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000866.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000866.wav | [
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Emotion_Speech_Dataset_0020_000895 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'boat' and stress the word 'out-on'. | A boat put out-on the bay. | A boat put out-on the bay. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000895.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000895.wav | [
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Emotion_Speech_Dataset_0020_000712 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'shoes' and stress the word 'fishes'. | Her shoes were like fishes. | Her shoes were like fishes. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000712.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000712.wav | [
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Emotion_Speech_Dataset_0020_000831 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'must', insert a pause after 'sometimes', and stress the word 'jam'. | It must come sometimes to jam a day. | It must come sometimes to jam a day. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000831.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000831.wav | [
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Emotion_Speech_Dataset_0017_001517 | Say this sentence with emotion of surprised, at a slow speed and high pitch. Specifically, stress the word 'children' and stress the word 'mine'. | They were children of mine. | They were children of mine. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0017/Surprise/0017_001517.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0017/Surprise/0017_001517.wav | [
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Emotion_Speech_Dataset_0015_001609 | Say this sentence with emotion of surprised, at a slow speed and high pitch. Specifically, stress the word 'raging', stress the word 'fire', and stress the word 'eyes'. | A raging fire was-in his eyes. | A raging fire was-in his eyes. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0015/Surprise/0015_001609.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0015/Surprise/0015_001609.wav | [
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Emotion_Speech_Dataset_0020_000801 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'piglet'. | It's me piglet, help help! | It's me piglet, help help! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000801.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000801.wav | [
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Emotion_Speech_Dataset_0020_000785 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'Suppose', insert a pause after 'Suppose', and stress the word 'fresh'. | Suppose I take grandmother a fresh vegetable. | Suppose I take grandmother a fresh vegetable. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000785.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000785.wav | [
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Emotion_Speech_Dataset_0018_000970 | Say this sentence with emotion of happy, at a moderate speed and high pitch. Specifically, stress the word 'quickly'. | Chew leaves quickly, said rabbit. | Chew leaves quickly, said rabbit. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000970.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000970.wav | [
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Emotion_Speech_Dataset_0020_000967 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'eleven'. | Chapter eleven on the doorstep. | Chapter eleven on the doorstep. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000967.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000967.wav | [
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Emotion_Speech_Dataset_0020_000847 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'find', insert a pause after 'find', and stress the word 'snap'. | And there you'll find a snap dragon fly. | And there you'll find a snap dragon fly. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000847.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000847.wav | [
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Emotion_Speech_Dataset_0020_000845 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'Reed' and stress the word 'living'. | Reed by the living pool! | Reed by the living pool! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000845.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000845.wav | [
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Emotion_Speech_Dataset_0020_000943 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'And' and stress the word 'you'. | And has you slain him? | And has you slain him? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000943.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000943.wav | [
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Emotion_Speech_Dataset_0011_001283 | Say this sentence with emotion of sad, at a moderate speed and moderate pitch. Specifically, stress the word 'care', stress the word 'David's', and stress the word 'twitching'. | Why should i care though David's lips were twitching? | Why should i care though David's lips were twitching? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Sad/0011_001283.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Sad/0011_001283.wav | [
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Emotion_Speech_Dataset_0020_000993 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, insert a pause after 'fashioned' and stress the word 'best'. | He is old fashioned but he is the best of men. | He is old fashioned but he is the best of men. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000993.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000993.wav | [
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Emotion_Speech_Dataset_0020_000885 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'born', insert a pause after 'baby', and stress the word 'stolen'. | The new born baby is stolen as we go. | The new born baby is stolen as we go. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000885.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000885.wav | [
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Emotion_Speech_Dataset_0020_000854 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'dreamt' and insert a pause after 'dreamt'. | He dreamt them all night. | He dreamt them all night. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000854.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000854.wav | [
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Emotion_Speech_Dataset_0020_000903 | Say this sentence with emotion of happy, at a slow speed and low pitch. Specifically, stress the word 'not' and stress the word 'grabbed'. | I was not grabbed. | I was not grabbed. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000903.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000903.wav | [
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Emotion_Speech_Dataset_0020_000832 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'thank', insert a pause after 'thank', and stress the word 'mercy'. | I thank you for this mercy! | I thank you for this mercy! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000832.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000832.wav | [
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Emotion_Speech_Dataset_0020_000769 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'use' and insert a pause after 'it'. | Not much use is it, Sam? | Not much use is it, Sam? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000769.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000769.wav | [
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Emotion_Speech_Dataset_0020_000815 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'might' and stress the word 'call'. | He might call it, for example. | He might call it, for example. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000815.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000815.wav | [
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ALL_JK_f09 | Say this sentence with emotion of fear, at a slow speed and high pitch. Specifically, stress the word 'tooth', stress the word 'forgot', and stress the word 'Roger's'. | The tooth fairy forgot to come when Roger's tooth fell out. | The tooth fairy forgot to come when Roger's tooth fell out. | audio/TTS_results_zeroshot_train/SAVEE/ALL/JK_f09.wav | audio/SAVEE/ALL/JK_f09.wav | [
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Emotion_Speech_Dataset_0016_000555 | Say this sentence with emotion of angry, at a slow speed and high pitch. Specifically, stress the word 'Fear', stress the word 'root', and stress the word 'sprout'. | Fear neither root nor sprout! | Fear neither root nor sprout! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0016/Angry/0016_000555.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0016/Angry/0016_000555.wav | [
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Emotion_Speech_Dataset_0013_001270 | Say this sentence with emotion of sad, at a slow speed and moderate pitch. Specifically, stress the word 'paw' and insert a pause after 'paw'. | Her paw went into your eye? | Her paw went into your eye? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0013/Sad/0013_001270.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0013/Sad/0013_001270.wav | [
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Emotion_Speech_Dataset_0020_000811 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'nightly', insert a pause after 'nightly', and stress the word 'heyday'. | We nightly dance our heyday guise. | We nightly dance our heyday guise. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000811.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000811.wav | [
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Emotion_Speech_Dataset_0020_001038 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'teeth', insert a pause after 'teeth', and stress the word 'ached'. | Paul's teeth ached because of lemon. | Paul's teeth ached because of lemon. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001038.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001038.wav | [
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Emotion_Speech_Dataset_0020_000715 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'Poor', insert a pause after 'Tom', and stress the word 'dead'. | Poor Tom now is dead! | Poor Tom now is dead! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000715.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000715.wav | [
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Emotion_Speech_Dataset_0020_000764 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'we' and stress the word 'so'. | And we are so thirsty! | And we are so thirsty! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000764.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000764.wav | [
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Emotion_Speech_Dataset_0020_000777 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'saw' and stress the word 'you'. | But I saw you walking. | But I saw you walking. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000777.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000777.wav | [
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Emotion_Speech_Dataset_0020_000838 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'But' and stress the word 'one'. | But one requires the explorer to furnish proofs. | But one requires the explorer to furnish proofs. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000838.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000838.wav | [
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Emotion_Speech_Dataset_0011_000154 | Say this sentence with emotion of neutral, at a slow speed and low pitch. Specifically, stress the word 'dreamt' and stress the word 'night'. | He dreamt them all night. | He dreamt them all night. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Neutral/0011_000154.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Neutral/0011_000154.wav | [
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Emotion_Speech_Dataset_0020_001033 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'gain', stress the word 'nothing', and insert a pause after 'nothing'. | You gain for nothing girl! | You gain for nothing girl! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001033.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001033.wav | [
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Emotion_Speech_Dataset_0016_001320 | Say this sentence with emotion of sad, at a slow speed and moderate pitch. Specifically, stress the word 'Chew' and insert a pause after 'quickly'. | Chew leaves quickly, said rabbit. | Chew leaves quickly, said rabbit. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0016/Sad/0016_001320.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0016/Sad/0016_001320.wav | [
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Emotion_Speech_Dataset_0018_000746 | Say this sentence with emotion of happy, at a moderate speed and high pitch. Specifically, stress the word 'never', insert a pause after 'know', and stress the word 'away'. | They'd never know I'd regular ran away. | They'd never know I'd regular ran away. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000746.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0018/Happy/0018_000746.wav | [
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Emotion_Speech_Dataset_0020_000952 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'run' and stress the word 'feet'. | I am run off my feet. | I am run off my feet. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000952.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000952.wav | [
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Emotion_Speech_Dataset_0020_000725 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'choosing' and insert a pause after 'choosing'. | She is now choosing skirt to wear. | She is now choosing skirt to wear. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000725.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000725.wav | [
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Emotion_Speech_Dataset_0020_000722 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'what' and stress the word 'doves'. | And what are doves. And what are doves. | And what are doves. And what are doves. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000722.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000722.wav | [
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Emotion_Speech_Dataset_0020_001032 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'where'. | where are you going? | where are you going? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001032.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001032.wav | [
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Emotion_Speech_Dataset_0020_000917 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'cruelty', insert a pause after 'cruelty', and stress the word 'life'. | You cruelty shall cost your life ! | You cruelty shall cost your life ! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000917.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000917.wav | [
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Emotion_Speech_Dataset_0011_000044 | Say this sentence with emotion of neutral, at a slow speed and moderate pitch. Specifically, stress the word 'courage' and stress the word 'lost'. | Take courage all isn't lost yet. | Take courage all isn't lost yet. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Neutral/0011_000044.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Neutral/0011_000044.wav | [
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Emotion_Speech_Dataset_0019_000919 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'tune', stress the word 'isn't', and stress the word 'own'. | But the tune isn't his own invention. | But the tune isn't his own invention. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000919.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0019/Happy/0019_000919.wav | [
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Emotion_Speech_Dataset_0020_000857 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'Blackbird', insert a pause after 'Blackbird', and stress the word 'Jay'. | Blackbird, and Jay. | Blackbird, and Jay. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000857.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000857.wav | [
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Emotion_Speech_Dataset_0020_000703 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'thanks' and insert a pause after 'thanks'. | That I owe my thanks to you. | That I owe my thanks to you. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000703.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000703.wav | [
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Emotion_Speech_Dataset_0020_000865 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'going', stress the word 'fast', and insert a pause after 'fast'. | They were going fast, with a light clip. | They were going fast, with a light clip. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000865.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000865.wav | [
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Emotion_Speech_Dataset_0020_000920 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'paw'. | Her paw went into your eye? | Her paw went into your eye? | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000920.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000920.wav | [
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Actor_06_03-01-02-02-01-02-06 | Say this sentence with emotion of neutral, at a slow speed and moderate pitch. Specifically, stress the word 'Kids' and stress the word 'talking'. | Kids are talking by the door | Kids are talking by the door | audio/TTS_results_zeroshot_train/RAVDESS/Actor_06/03-01-02-02-01-02-06.wav | audio/RAVDESS/Actor_06/03-01-02-02-01-02-06.wav | [
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369,
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397,
... | audio/neutral_prompts/RAVDESS/Actor_06/03-01-02-02-01-02-06.wav |
Emotion_Speech_Dataset_0020_001045 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'whirring' and insert a pause after 'noise'. | A whirring noise was heard. | A whirring noise was heard. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001045.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001045.wav | [
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Emotion_Speech_Dataset_0011_001529 | Say this sentence with emotion of surprised, at a moderate speed and high pitch. Specifically, stress the word 'large' and stress the word 'flat'. | A large flat ferry boat was moored beside it. | A large flat ferry boat was moored beside it. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Surprise/0011_001529.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0011/Surprise/0011_001529.wav | [
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Emotion_Speech_Dataset_0020_000829 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'large', insert a pause after 'boat', and stress the word 'moored'. | A large flat ferry boat was moored beside it. | A large flat ferry boat was moored beside it. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000829.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000829.wav | [
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Emotion_Speech_Dataset_0020_000911 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'cake', stress the word 'each', and stress the word 'huge'. | From each cake, there sprang a huge dog. | From each cake, there sprang a huge dog. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000911.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000911.wav | [
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Emotion_Speech_Dataset_0012_000173 | Say this sentence with emotion of neutral, at a slow speed and high pitch. Specifically, stress the word 'searched' and insert a pause after 'through'. | He searched through the box. | He searched through the box. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0012/Neutral/0012_000173.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0012/Neutral/0012_000173.wav | [
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Emotion_Speech_Dataset_0020_000888 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'quicker', insert a pause after 'quicker', and stress the word 'went'. | Now quicker the fiddle went. | Now quicker the fiddle went. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000888.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000888.wav | [
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Emotion_Speech_Dataset_0020_000972 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'admittance', insert a pause after 'admittance', and stress the word 'business'. | No admittance except on party business. | No admittance except on party business. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000972.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000972.wav | [
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Emotion_Speech_Dataset_0020_000898 | Say this sentence with emotion of happy, at a slow speed and high pitch. Specifically, stress the word 'shoot' and insert a pause after 'myself'. | I'd shoot myself. a pause. | I'd shoot myself. a pause. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000898.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000898.wav | [
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225,
506,
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30... | [
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Emotion_Speech_Dataset_0020_001044 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'clever'. | Lucy, a clever farmer. | Lucy, a clever farmer. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001044.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_001044.wav | [
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Emotion_Speech_Dataset_0020_000935 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, insert a pause after 'not' and stress the word 'go'. | If not, I shall go no further. | If not, I shall go no further. | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000935.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000935.wav | [
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39,
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286,
374,
337,
382,
10,
187,
1405,
122,
122,
270... | [
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Emotion_Speech_Dataset_0020_000783 | Say this sentence with emotion of happy, at a slow speed and moderate pitch. Specifically, stress the word 'off' and stress the word 'quick'. | Be off now as quick as you may! | Be off now as quick as you may! | audio/TTS_results_zeroshot_train/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000783.wav | audio/Emotional Speech Dataset (ESD)/Emotion Speech Dataset/0020/Happy/0020_000783.wav | [
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132,
591,
557,
468,
468,
151... | [
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