MisoTTS 解决了 TTS 模型情感表达不足的痛点，做语音合成、虚拟助手或内容创作的团队可以直接下载权重试用，感受 8B 模型带来的细腻语调变化。
Miso Labs 发布了 MisoTTS，一个 8B 参数的开源文本转语音模型，专注于情感表达。它采用残差向量量化（RVQ）技术，在不增加参数的情况下扩展声音范围，并能根据文本和音频上下文调整说话人语调。模型架构由 7.7B 主骨干和 300M 深度解码器组成。MisoTTS 的开放权重让开发者和研究者可以自由使用和定制，推动了情感语音合成领域的开源进展。
Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights
Miso Labs has released MisoTTS, an open-weights 8B text-to-speech model. It uses residual vector quantization (RVQ) to scale its sonic range without scaling parameters, and conditions on both text and audio context to respond to speaker tone. The architecture pairs a 7.7B backbone with a 300M depth decoder. The post Miso Labs Releases MisoTTS: An 8B Emotive Text-to-Speech Model with Open Weights appeared first on MarkTechPost .