Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection
Evaluation of a Multi-Resolution Dyadic Wavelet Transform Method for usable Speech Detection
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发表时间：
2013-01
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通讯作者：
W. Ghezaiel;A. Rahmouni;E. B. Braiek
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作者：
W. Ghezaiel;A. Rahmouni;E. B. Braiek
语音通信和说话人识别的许多应用都受到同信道语音问题的困扰。本文研究了一种多分辨率二进小波变换方法，用于同信道语音检测中可被说话人识别系统处理的可用片段。参考目标干扰比测量在TIMIT数据库上对该方法进行了评估。同信道语音是通过混合所有可能的性别说话者来构建的。结果显示，不同的混合物没有太大的差异。对于整体混合物，95.76%的可用语音被正确检测出来，29.65%的误报被检测出来。
Many applications of speech communication and speaker identification suffer from the problem of co-channel speech. This paper deals with a multi-resolution dyadic wavelet transform method for usable segments of co-channel speech detection that could be processed by a speaker identification system. Evaluation of this method is performed on TIMIT database referring to the Target to Interferer Ratio measure. Co-channel speech is constructed by mixing all possible gender speakers. Results do not show much difference for different mixtures. For the overall mixtures 95.76% of usable speech is correctly detected with false alarms of 29.65%.