Title :
Co-channel speaker separation based on maximum-likelihood deconvolution
Author :
Savic, Michael ; Gao, Huiqin ; Sorensen, Jeffrey S.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
Described is a speaker separation system based on the maximum likelihood deconvolution (MLD). The maximum likelihood criteria is applied to the deconvolution of the combined signal to estimate the excitation signal of each speaker. Passing the estimated excitation signal through the corresponding vocal tract filter produces the restored speech of the particular speaker. The restored speech is the result of the convolution of the excitation signal with the vocal tract wavelet matrix. A simultaneous characterization of multiple speakers was accomplished with a new speech model
Keywords :
deconvolution; filtering theory; maximum entropy methods; speech coding; speech enhancement; speech intelligibility; wavelet transforms; LPC; co-channel speaker separation; codebook; excitation signal; maximum-likelihood deconvolution; multiple speakers characterisation; restored speech; speech enhancement; speech intelligibility; speech model; vocal tract filter; vocal tract wavelet matrix; Backscatter; Convolution; Deconvolution; Equations; Filters; Interference; Maximum likelihood estimation; Signal restoration; Speech enhancement; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389364