[5] Jia, Y., Zhang, Y., Weiss, R.J., Wang, Q., Shen, J., Ren, F., Chen, Z., Nguyen, P., Pang, R., Lopez-Moreno, I., & Wu, Y. (2018). Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis.NeurIPS. [6] Wang, Y., Stanton, D., Zhang...
语音合成论文优选:终究还是来了SpeechNet: A Universal Modularized Model for Speech Processing Tasks 声明:语音合成论文优选系列主要分享论文,分享论文不做直接翻译,所写的内容主要是我对论文内容的概括和个人看法。如有转载,请标注来源。 欢迎关注微信公众号:低调奋进 SpeechNet: A Un… 李永强发表于AI语音 基于深度...
TTS(Text To Speech)是一个序列到序列的匹配问题。处理TTS的方法一般分为两部分:文本分析和语音合成(speech synthesis)。文本分析可能采用NLP方法。 而在语音合成(speech synthesis)上有两种主要的方法:一种是非参数化的,基于样例的方法,如拼接语音合成;另一种是参数化的、基于模型的方法,如统计参数语音合成。 拼接...
SV2TTS工作首先将这两个过程分开,通过第一个语音特征编码网络(encoder)建模说话者的语音特征,接着通过第二个高质量的TTS网络完成特征到语音的转换。 SV2TTS论文Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis 网络结构 主要由三部分构成: 声音特征编码器(speaker encoder) 提取...
A text-to-speech synthesis system typically consists of multiple stages, such as a text analysis frontend, an acoustic model and an audio synthesis module. 31 Paper Code Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention coqui-ai/TTS • • 24...
SpeechSynthesisUtterance 如何变换声音 来源| 微软研究院AI头条(ID: MSRAsia) 编者按:基于深度学习的端到端语音合成技术进展显著,但经典自回归模型存在生成速度慢、稳定性和可控性差的问题。去年,微软亚洲研究院和微软 Azure 语音团队联合浙江大学提出了快速、鲁棒、可控的语音合成系统 FastSpeech,近日研究团队又将该技术...
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As an important task of AIGC, text-to-speech (TTS) synthesis technology is undergoing rapid development driven by deep learning models [6, 49]. Recent TTS works [35, 30, 47, 56] with extensive text-speech training pairs exhibit remarkable zero-shot capacity which generates high quality speec...
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Giving an in-depth explanation of all aspects of current speech synthesis technology, it assumes no specialised prior knowledge. Introductory chapters on linguistics, phonetics, signal processing and speech signals lay the foundation, with subsequent material explai... (展开全部) 我来说两句 短评 ·...