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

Yang Shao, De Liang Wang

Research output: Contribution to journalConference articlepeer-review

Abstract

Recently, usable speech criteria are 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. 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.

Original languageEnglish (US)
Pages (from-to)205-208
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
StatePublished - 2003
Externally publishedYes
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: Apr 6 2003Apr 10 2003

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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