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Co-channel speaker identification using usable speech extraction based on multi-pitch tracking

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2 Author(s)
Yang Shao ; Dept. of Comput. & Inf. Sci., Ohio State Univ., Columbus, OH, USA ; DeLiang Wang

Recently, usable speech criteria have been proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In this paper, we propose a new usable speech extraction method to improve the SID performance under the co-channel situation based on the pitch information obtained from a robust multi-pitch tracking algorithm [2]. The idea is to retain the speech segments that have only one pitch detected and remove the others. The system is evaluated on co-channel speech and results show a significant improvement across various target to interferer ratios (TIR) for speaker identification.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:2 )

Date of Conference:

6-10 April 2003