Speech enhancement using CSS-based array processing

A method for recovering the LPC spectrum from a microphone array input signal corrupted by ambient noise is proposed. This method is based on the CSS (coherent subspace) method, which is designed for DOA (direction of arrival) estimation of broadband array input signals. The noise energy is reduced in the subspace domain by the maximum likelihood method. To enhance the performance of noise reduction, elimination of noise-dominant subspace using projection is further employed, which is e ective when the SNR is low and classi cation of noise and signals in the subspace domain is di cult. The results of the simulation show that some small formants, which cannot be estimated by the conventional delay-and-sum beamformer, were well estimated by the proposed method.