放大音频中的声压缩不会影响语音识别性能
Valeriia Perepelytsia1, Volker Dellwo2
1Department of Computational Linguistics, University of Zurich, Andreasstrasse 15, 8050, Zurich, Switzerland. valeriia.perepelytsia@uzh.ch.
Scientific reports
|November 1, 2023
概括
像Zoom这样的视频会议音频质量,在人类语音识别方面与工作室音频一样有效,性能优于低质量的电话音频. 熟悉Zoom音频甚至可能稍微提高语音识别性能.
科学领域:
- 语音处理 语音处理
- 人与计算机的互动.
- 声学信号分析 声学信号分析
背景情况:
- 与工作室录音相比,人类语音识别的准确性通常会在电话频道上降低.
- 视频会议中的损耗压缩会影响音频质量和潜在的语音识别性能.
研究的目的:
- 研究视频会议音频质量如何影响人类语音识别.
- 为了在电话,Zoom和工作室音频条件下比较语音识别性能.
主要方法:
- 采用了一种全新的语音识别任务.
- 参与者在工作室,Zoom或电话质量音频中熟悉女性声音.
- 在匹配和不匹配的音频熟悉和测试条件下进行了语音识别测试.
主要成果:
- 在Zoom音频中语音识别性能与工作室音频没有显著差异.
- 变焦和工作室音频都比电话音频获得了更好的识别.
- 熟悉Zoom音频显示了与工作室音频相比,识别性能改善的趋势.
结论:
- 变焦的音频处理为语音识别提供了相关的信息,与工作室质量相当.
- 电话音频质量显著阻碍了语音识别性能.
- 进一步的研究可能会探索Zoom中的特定语音编码机制,从而提高语音识别.
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