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English(EN) Zero-Shot Lombard Speech Synthesis with Controllable Style Embeddings

新的TTS系统合成了具有可控风格嵌入的兰巴特语音

研究人员开发了一种新颖的文本到语音(TTS)系统,该系统能够在无需特定兰巴特训练数据的情况下合成兰巴特式语音。该系统是F5-TTS的扩展,利用学习到的风格嵌入和主成分分析来控制发声努力和发音,从而实现可调节的兰巴特水平。实验表明,该方法在保持说话人身份和自然度的同时,提高了在嘈杂条件下的可懂度,展示了一个可控的零样本兰巴特语音合成的可扩展框架。 AI

影响 这项研究提供了一种在嘈杂环境中生成更具可懂度的语音的新方法,有望改善可访问性和通信工具。

排序理由 该集群包含一篇详细介绍语音合成新方法的学术论文。[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TTS系统合成了具有可控风格嵌入的兰巴特语音

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该集群包含一篇详细介绍语音合成新方法的学术论文。[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) · Seymanur Akti, Alexander Waibel ·

    零样本 Lombard 语音合成与可控风格嵌入

    arXiv:2601.12966v2 Announce Type: replace-cross Abstract: The Lombard effect plays a key role in natural communication, particularly in noisy environments or when addressing hearing-impaired listeners. We present a controllable text-to-speech (TTS) system capable of synthesizing …