深入探讨字节跳动与台湾大学合作的ParaS2S框架,一个旨在提升语音到语音(S2S)模型副语言感知能力(如情感、语调、说话者属性)的创新基准和强化学习对齐框架。我们揭示了现有S2S模型的“语调迟钝”问题,并展示了ParaS2S如何在大幅减少标注成本的同时,实现内容和风格匹配度的显著提升,引领S2S交互迈向更自然、更人性化的新时代。
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