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English(EN) Single Microphone Own Voice Detection based on Simulated Transfer Functions for Hearing Aids

基于仿真的助听器自身语音检测准确率达95%

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种基于仿真的单麦克风自身语音检测（OVD）方法，用于助听器。该方法利用模拟声学传递函数来训练基于Transformer的分类器，然后可以使用有限的真实世界数据进行微调。该系统在模拟数据上实现了高精度，并在真实世界录音中证明了有效性，为助听器技术提供了一种更具成本效益且功耗更低的选择。 AI

影响 这项研究通过使用更少的麦克风实现自身语音检测，有望带来更高效、更具成本效益的助听器技术。

排序理由 该项目是一篇学术论文，详细介绍了一种针对特定技术问题的新的基于仿真方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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

基于仿真的助听器自身语音检测准确率达95%

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该项目是一篇学术论文，详细介绍了一种针对特定技术问题的新的基于仿真方法。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Mathuranathan Mayuravaani, W. Bastiaan Kleijn, Andrew Lensen, Charlotte S{\o}rensen ·

    基于模拟传递函数的助听器单麦克风自语检测

    arXiv:2603.02724v2 Announce Type: replace-cross Abstract: This paper presents a simulation-based approach to own voice detection (OVD) in hearing aids using a single microphone. While OVD can significantly improve user comfort and speech intelligibility, enabling reliable OVD wit…

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