An algorithm for speech segregation of co-channel speech

This paper introduces an algorithm to separate speech streams from a single-channel speech mixture. Most current speech segregation algorithms allocate speech regions to participating speakers depending on which speaker dominates in which spectro-temporal region. The proposed method is a different approach to speech segregation, in that it separates the participating speaker streams rather than decide in the favor of the dominating speaker. The algorithm depends on a lease-squares fitting approach to model the speech mixture as a sum of complex exponentials. The algorithm gives results that are better than an existent algorithm when tested on the same task. The performance on a different database yielded good segregation results, even for Target-to-Masker ratios as low as -15 dB. The algorithm has immense promise for improvement and practical implementation.