Speech Enhancement from Interfering Sounds Using Casa Techniques and Blind Source Separation

In this paper we propose novel biologically plausible model for segregation of one dominant speaker from the other concurrent speakers and environmental noise in real cocktailparty scenario. The developed method integrates two powerful techniques: computational scene analysis (CASA) and blind source separation (BSS) technique with bandpass preprocessing. Since each of these techniques applied alone has same limitations and drawbacks, we combine both methods in order to obtain improved performance. The computers simulations results show good performance for real room recordings, especially for the case where mixing convolutive (reverberant) system cannot be inverted by any of these method itself.