A multi stage approach to speech enhancement methods improves the quality of separation over standard techniques such as spectral subtraction and beamforming. Two algorithms are implemented for convolutive mixtures in two of the important stages of a speech enhancement system, the source separation stage and the background denoising stage. For source separation, a blind source separation method based on second order statistics has been adopted whereas for background denoising, a method based on minimum statistics of subband power, has been used. An efficient real time algorithm for convolutive blind source separation of broad band signals has been realized, by exploiting the second order statistics and non-stationarity of the signals. The real time system is capable of separating sources in a two microphone setup.

A multi stage approach to speech enhancement methods improves the quality of separation over standard techniques such as spectral subtraction and beamforming. Two algorithms are implemented for convolutive mixtures in two of the important stages of a speech enhancement system, the source separation stage and the background denoising stage. For source separation, a blind source separation method based on second order statistics has been adopted whereas for background denoising, a method based on minimum statistics of subband power, has been used. An efficient real time algorithm for convolutive blind source separation of broad band signals has been realized, by exploiting the second order statistics and non-stationarity of the signals. The real time system is capable of separating sources in a two microphone setup.