DocumentCode :
2799991
Title :
Joint single-channel speech separation and speaker identification
Author :
Mowlaee, P. ; Saeidi, R. ; Tan, Z.-H. ; Christensen, M.G. ; Fränti, P. ; Jensen, S.H.
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
4430
Lastpage :
4433
Abstract :
In this paper, we propose a closed loop system to improve the performance of single-channel speech separation in a speaker independent scenario. The system is composed of two interconnected blocks: a separation block and a speaker identification block. The improvement is accomplished by incorporating the speaker identities found by the speaker identification block as additional information for the separation block, which converts the speaker-independent separation problem to a speaker-dependent one where the speaker codebooks are known. Simulation results show that the closed loop system enhances the quality of the separated output signals. To assess the improvements, the results are reported in terms of PESQ for both target and masked signals.
Keywords :
closed loop systems; source separation; speaker recognition; speech processing; PESQ; closed loop system; perceptual evaluation of speech quality; single-channel speech separation; speaker codebooks; speaker identification; Closed loop systems; Computer science; Databases; Feedback loop; Frequency; Speech analysis; Speech recognition; State estimation; Statistics; Virtual manufacturing; Gaussian mixture model; Single-channel speech separation; sinusoidal mixture estimator; speaker identification; vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495619
Filename :
5495619
Link To Document :
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