层次语音++:通过层次变化推理来弥合语音的语义和声学表示之间的差距,以实现零射击语音合成
概括
HierSpeech++提供快速,强大的零射击语音合成,用于文本到语音和语音转换. 这种层次化的方法实现了人类水平的质量,超过了大型语言模型和传播模型.
科学领域:
- 人工智能的人工智能
- 语音技术 语言技术
背景情况:
- 大型语言模型 (LLM) 主导着零射击语音合成,但其推断速度缓慢,稳定性低.
- 现有的自回归模型具有类似的局限性,阻碍了实际应用.
研究的目的:
- 为了介绍HierSpeech++,这是一款新,快速,强大的零射击语音合成器.
- 为了增强合成语音中的自然性,表现力和说话者相似性.
- 在零拍摄的文本到语音 (TTS) 和语音转换 (VC) 中实现人类水平的质量.
主要方法:
- 建议HierSpeech++,一个层次的语音合成框架.
- 使用文本到vec (TTV) 框架来生成语音表示和F0从文本和prosody.
- 集成了一个高效的语音超分辨率 (SpeechSR) 模块,以提高音频质量.
主要成果:
- 层次框架显著提高了语音的强度和表现力.
- 在零射击场景中实现了卓越的自然性和扬声器相似性.
- 层次变异自编码器的性能优于基于LLM和基于扩散的模型.
结论:
- HierSpeech++为快速和高质量的零射击语音合成建立了一个新的基准.
- 提出的等级方法克服了先前模型的局限性.
- 在零射击TTS和VC中展示了人类水平质量的潜力.
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