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Co-channel speaker identification using usable speech extraction based on multi-pitch tracking | IEEE Conference Publication | IEEE Xplore

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


Abstract:

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...Show More

Abstract:

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.
Date of Conference: 06-10 April 2003
Date Added to IEEE Xplore: 05 June 2003
Print ISBN:0-7803-7663-3
Print ISSN: 1520-6149
Conference Location: Hong Kong, China

References

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