在使用声学矢量传感器的多通道,多扬声器系统中进行交叉声压制
1Department of Multimedia Systems, Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, 80-233 Gdańsk, Poland.
Sensors (Basel, Switzerland)
|November 13, 2025
概括
这项研究引入了一种新的算法,用于在杂的环境中多音箱语音识别. 它有效地减少了使用声波矢量传感器的交叉通话,提高了语音到文本的准确性.
科学领域:
- 信号处理 信号处理
- 声学 声学 在声学方面
- 机器学习 机器学习
背景情况:
- 在法庭等多扬声器,共振环境中的自动语音识别 (ASR) 提出了重大挑战.
- 交叉通话或扬声器之间的干扰会降低ASR的性能,并且需要预处理才能准确地转录语音到文本.
研究的目的:
- 在多扬声器ASR场景中开发和评估交叉声抑制算法.
- 在具有挑战性的声学条件下 (如会议和法庭会议) 提高语音到文本系统的性能.
主要方法:
- 利用声学矢量传感器在多扬声器环境中获取音频流.
- 使用到达方向 (DOA) 的统计分析来检测扬声器和源分离.
- 在分析扬声器活动和识别信号碎片后,实现了一个动态增益处理器来抑制交叉声响.
主要成果:
- 在尺度不变信号与扭曲比率 (SI-SDR) 中取得了显著的改进.
- 通过完整的算法 (包括源隔离) 显示SI-SDR的7.54dB的增加.
- 在SI-SDR中表现出更高的19.53dB的增加,当仅应用交叉语音抑制时.
结论:
- 拟议的算法有效地抑制了多扬声器共振环境中的交叉通话.
- 该方法提高了后续语音到文本转录的音频质量,显示了对现实世界的应用的希望.
- 源分离和动态增益处理是实现显著性能增益的关键组成部分.
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