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基于CNN的降噪,用于具有离散波纹转换 (DWT) 预处理的多通道语音增强系统

Pavani Cherukuru1,2, Mumtaz Begum Mustafa1

  • 1Department of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.

PeerJ. Computer science
|March 4, 2024
PubMed
概括

一个新的DWT-CNN-MCSE系统显著改善了噪音环境中的语音增强,特别是在低信号对噪音比率 (SNR) 的情况下. 这种先进的多通道语音增强 (MCSE) 方法在具有挑战性的声学条件下优于现有系统.

关键词:
卷积神经网络是一个卷积神经网络.离散波量变换是离散波量变换.多通道语音增强系统信号与噪声的比率是什么?单词识别速率 单词识别速度

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