基于语音感知的重叠语音信号分离算法

M. C. Orr, Duc-Son Pham, B. Lithgow, R. Mahony
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引用次数: 9

摘要

介绍了一种利用小波时频特性分析语音的算法。利用两种技术对提取的小波系数进行分析,首先生成协方差矩阵来提供说话人特征信息;其次,利用小波系数的峰度便于对多个说话人进行检测。初步结果表明,从峰度分析中可以提取一些语音信息,如发音位置和浊音/非浊音段的识别。
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Speech perception based algorithm for the separation of overlapping speech signal
An algorithm for the analysis of speech utilising the time frequency properties of wavelets is introduced. The extracted wavelet coefficients are analysed using two techniques, firstly a covariance matrix is generated to provide information about speaker characteristics. Second, the kurtosis of the wavelet coefficients is used to facilitate the detection of multiple speakers. Preliminary results show that some phonetic information, such as articulation placement and identification of voiced/unvoiced sections, can be extracted from the kurtosis analysis.
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