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English(EN) Controllable Dysarthric Speech Synthesis with Patient-Specific Conditioning for Speaker-Diverse ASR Augmentation

新框架合成可控性构音障碍语音以增强ASR

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一个新颖的构音障碍语音合成框架，可用于增强自动语音识别（ASR）系统的数据集。该方法将说话人身份与病理性发音分离，从而实现对生成语音的更大控制。通过使用提示派生的音色前缀和可学习的患者特定病理前缀，该系统可以在保留目标说话人特征的同时准确反映构音障碍模式。实验表明，这种合成数据可以有效地补充真实的构音障碍语音数据用于ASR训练。 AI

影响 这项研究通过提供更多样化和可控的训练数据，有望改善针对有语言障碍人士的ASR系统。

排序理由 该集群包含一篇详细介绍新型语音合成方法的学术论文。[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 →

新框架合成可控性构音障碍语音以增强ASR

本文如何被排名

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Tool
该集群包含一篇详细介绍新型语音合成方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Haoshen Wang, Xueli Zhong, Bingbing Lin, Jia Huang, Xingduo Pan, Shengxiang Liang, Nizhuan Wang, Wai Ting Siok ·

    面向说话人多样性ASR增强的可控性构音障碍语音合成与患者特定条件化

    arXiv:2602.08696v3 Announce Type: replace-cross Abstract: Dysarthric speech recognition is limited by high speaker variability and scarce labeled data. Existing synthesis methods often couple speaker identity with dysarthric articulation, reducing control over generated speech. W…

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