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首页> 外文期刊>IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics >Phase-based dual-microphone robust speech enhancement
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Phase-based dual-microphone robust speech enhancement

机译:基于相位的双麦克风健壮语音增强

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摘要

A dual-microphone speech-signal enhancement algorithm, utilizing phase-error based filters that depend only on the phase of the signals, is proposed. This algorithm involves obtaining time-varying, or alternatively, time-frequency (TF), phase-error filters based on prior knowledge regarding the time difference of arrival (TDOA) of the speech source of interest and the phases of the signals recorded by the microphones. It is shown that by masking the TF representation of the speech signals, the noise components are distorted beyond recognition while the speech source of interest maintains its perceptual quality. This is supported by digit recognition experiments which show a substantial recognition accuracy rate improvement over prior multimicrophone speech enhancement algorithms. For example, for a case with two speakers with a 0.1 s reverberation time, the phase-error based technique results in a 28.9% recognition rate gain over the single channel noisy signal, a gain of 22.0% over superdirective beamforming, and a gain of 8.5% over postfiltering.
机译:提出了一种双麦克风语音信号增强算法,该算法利用了仅基于信号相位的基于相位误差的滤波器。该算法涉及基于有关感兴趣语音源到达时间差(TDOA)和由语音记录的信号相位的先验知识,获得时变或时频(TF)相位误差滤波器。麦克风。结果表明,通过掩盖语音信号的TF表示,噪声分量会失真而无法识别,同时感兴趣的语音源将保持其感知质量。数字识别实验证明了这一点,该实验表明,与现有的多麦克风语音增强算法相比,识别准确率有了显着提高。例如,对于两个扬声器的混响时间为0.1 s的情况,基于相位误差的技术在单通道噪声信号上的识别率为28.9%,在超指向性波束成形下的增益为22.0%,高出后过滤8.5%。

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