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English(EN) Integrating Facial Generation into Full-Duplex Spoken Dialogue Systems

新的对话系统将实时面部生成与语音相结合

研究人员开发了Moshi-Face,一个新颖的全双工语音对话系统,它将面部生成与音频处理相结合。该系统利用VQ-VAE将面部数据编码为离散令牌,并使用Face Transformer非自回归地生成这些令牌。其结果是一个能够实时生成同步语音和面部表情的模型,在实现低延迟视听对齐的同时保持对话质量。 AI

影响 通过同步语音与面部运动,实现更自然、更具表现力的人机交互。

排序理由 研究论文,详细介绍新模型发布。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的对话系统将实时面部生成与语音相结合

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研究论文,详细介绍新模型发布。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Ryuichiro Higashinaka ·

    将面部生成集成到全双工语音对话系统中

    Full-duplex spoken dialogue models, such as Moshi, enable natural, low-latency voice conversations. However, they remain limited to the audio modality, lacking the facial expressions that are integral to human communication. We present Moshi-Face, the first full-duplex dialogue m…