{"title":"基于GAN-TTS的音素级说话速率变化波形生成","authors":"Mayuko Okamato, S. Sakti, Satoshi Nakamura","doi":"10.1109/O-COCOSDA46868.2019.9060845","DOIUrl":null,"url":null,"abstract":"The development of text-to-speech synthesis (TTS) systems continues to advance, and the naturalness of their generated speech has significantly improved. But most TTS systems now learn from data using a deep learning framework and generate the output at a monotonous speaking rate. In contrast humans vary their speaking rates and tend to slow down to emphasize words to distinguish elements of focus in an utterance.","PeriodicalId":263209,"journal":{"name":"2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Phoneme-level speaking rate variation on waveform generation using GAN-TTS\",\"authors\":\"Mayuko Okamato, S. Sakti, Satoshi Nakamura\",\"doi\":\"10.1109/O-COCOSDA46868.2019.9060845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The development of text-to-speech synthesis (TTS) systems continues to advance, and the naturalness of their generated speech has significantly improved. But most TTS systems now learn from data using a deep learning framework and generate the output at a monotonous speaking rate. In contrast humans vary their speaking rates and tend to slow down to emphasize words to distinguish elements of focus in an utterance.\",\"PeriodicalId\":263209,\"journal\":{\"name\":\"2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/O-COCOSDA46868.2019.9060845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/O-COCOSDA46868.2019.9060845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Phoneme-level speaking rate variation on waveform generation using GAN-TTS
The development of text-to-speech synthesis (TTS) systems continues to advance, and the naturalness of their generated speech has significantly improved. But most TTS systems now learn from data using a deep learning framework and generate the output at a monotonous speaking rate. In contrast humans vary their speaking rates and tend to slow down to emphasize words to distinguish elements of focus in an utterance.
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