Speech perception based algorithm for the separation of overlapping speech signal

Abstract

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.