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English(EN) Uni-Stream: A Unified Streaming Speech Language Model for Speech Synthesis and Recognition

Uni-Stream模型统一语音合成与识别

研究人员开发了Uni-Stream,一种新颖的统一流式语音语言模型,专为语音合成和识别而设计。该模型以流式格式处理交错的语音和文本,旨在通过两阶段训练过程实现与专用模型相当的性能。该研究还引入了一个用于流式训练的数据标注流程,并探索了模型的内部表示,发现语音和文本占据不同的潜在特征空间。 AI

影响 这种统一的模型方法可以通过支持单一模型进行语音理解和生成,从而简化实时人机交互。

排序理由 该集群描述了一篇详细介绍新模型架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

Uni-Stream模型统一语音合成与识别

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该集群描述了一篇详细介绍新模型架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Xuan Shi, Chang Zeng, Tiantian Feng, Ye Zhang, Jun Liu, Shih-Heng Wang, Lie Lu, Shrikanth Narayanan ·

    Uni-Stream:统一流式语音语言模型,用于语音合成与识别

    arXiv:2610.32187v1 Announce Type: cross Abstract: Unified streaming speech language models aim to support speech recognition and synthesis within a single model, enabling real-time human-computer interaction. However, jointly supporting these two directions of speech-text convers…