Spectral subtraction for reverberation reduction applied to automatic speech recognition

F.S. Pacheco, R. Seara
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引用次数: 8

Abstract

In real conditions, reverberation severely compromises the accuracy of automatic speech recognition (ASR) systems. The use and the assessment of spectral subtraction for reducing the reverberation effect in ASR systems is discussed. For such, a general procedure is presented. The influence of some important dereverberation parameters, such as the reverberation time, on the recognition rate is evaluated. By using the referred approach, the speech recognition rate is considerably improved.
频谱减法在自动语音识别中的混响降低应用
在实际情况下,混响严重影响自动语音识别(ASR)系统的准确性。讨论了谱减法在ASR系统中减少混响效应的应用及评价。对此,给出了一个通用的程序。分析了混响时间等重要去混响参数对识别率的影响。采用该方法,语音识别率有了较大的提高。
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