一种语音分离算法,让空间助听器能够与多个声音源一起工作
Jakeh E Orr1, Atra Z Eslami Boudreaux1, Irmak Gokcen1
1Biomedical Engineering Department, School of Science and Engineering, Saint Louis University, MO.
Journal of speech, language, and hearing research : JSLHR
|February 23, 2026
概括
这项研究开发了用于助听器的新语音分离算法,以改善噪音环境中的声音清晰度. 算法有效地将所需的语音与不需要的噪音分开,增强听力体验.
科学领域:
- 听觉神经科学 听觉神经科学
- 信号处理 信号处理
- 语音技术 语言技术
背景情况:
- 助听器在杂的环境中扎,损害了语音可理解性.
- 当前的助听器技术往往无法充分将所需的语音与背景噪音分开.
研究的目的:
- 探索一种基于生理学的语音分离算法,用于助听器.
- 在复杂的听觉场景中选择性地去除或减弱不需要的声音源.
主要方法:
- 调整了先前开发的声音本地化算法,以整合语音分离.
- 使用二进制或软面具来删除时间频域中不需要的声音集群.
- 使用自动语音识别来评估分离前后的可理解性.
主要成果:
- 一个硬面罩有效地消除噪音,当源是同位的,但与分开的源扎.
- 一个软面罩显示前面面对的声音的性能略有降低,但对侧面或后面的声音的可理解性有所改善.
- 算法性能因声音源的角分离和位置而有所不同.
结论:
- 开发的算法有效地整合了声音本地化和隔离.
- 这种方法有可能提高空间助听器在具有挑战性的声学环境中的性能.
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