Co--Channel speech separation

A new algorithm is proposed to solve the problem of separating two voices which co-exist on a single channel. This algorithm produces an initial estimate of the speech spectrum for each talker, and then employs multisignal minimum-cross-entropy spectral analysis to improve the initial spectral estimates by accounting for the characteristics of the known composite speech signal. Results of listening tests and spectral distortion comparisons show that the proposed algorithm can recover the desired speech with better intelligibility than other speech separation techniques.