Estimation of Speech Embedded in a Reverberant Environment with Multiple Sources of Noise
Résumé
In this work we develop a system for enhancement of the speech signal with highest energy from a linear convolutive mixture of ☛ statistically independent sound sources recorded by ☞ microphones, where ☞✍✌✎☛. In this system we use the concept of independent component analysis (ICA) together with auditory filter banks, pitch tracking, adaptive band pass filters and masking. Computer simulations and real world experiments confirm the validity of the proposed algorithm.