一种变分框架，用于提高生成语音语言模型的自然性
The success of large language models in text processing has inspired their adaptation to speech modeling. However, since speech is continuous and complex, it is often discretized for...
大型语言模型在文本处理中的成功促使其应用于语音建模，但现有语音标记主要关注语言特征，忽视韵律信息，导致生成语音自然性不足。为此，我们提出一种端到端的变分方法，自动学习连续语音属性，增强语义标记，避免手动特征提取。
