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English(EN) Building and Evaluating Fixed-Voice Thai TTS from Synthetic Speech

新的泰语TTS模型在低资源环境下使用合成语音进行训练

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种新颖的方法，用于为泰语等低资源语言创建紧凑型、固定语音的文本到语音（TTS）模型。该方法利用一个大型语音克隆模型作为数据生成器，使用完全合成的语音来训练一个更小的、可在设备上运行的模型，该语音是从简短的语音参考派生而来的。由此产生的Wayu-Paxa-TTS-Edge模型在准确性和韵律方面表现出色，甚至在某些方面优于其更大的教师模型，并且正在开源。 AI

影响 在低资源环境下实现设备上的泰语TTS，可能加速语音技术在服务不足地区的普及。

排序理由 该集群描述了一篇详细介绍构建TTS模型新方法的论文。

在 Hugging Face Daily Papers 阅读 →

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新的泰语TTS模型在低资源环境下使用合成语音进行训练

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该集群描述了一篇详细介绍构建TTS模型新方法的论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kunat Pipatanakul, Potsawee Manakul, Warit Sirichotedumrong, Sittipong Sripaisarnmongkol, Pakorn Nathong, Phatrasek Jirabovonvisut ·

    从合成语音构建和评估固定语音泰语TTS

    arXiv:2609.03502v1 Announce Type: cross Abstract: In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    从合成语音构建和评估固定音色的泰语TTS

    In low-resource settings, deploying TTS typically requires choosing between a large voice-cloning model with costly inference or a compact fixed-voice system that requires a speaker-specific corpus. We study a third route: using a large voice-cloning model as a programmable data …

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