Model-based sequential organization for cochannel speaker identification

Yang Shao, De Liang Wang

Research output: Contribution to conferencePaperpeer-review


It is difficult to directly apply traditional speaker identification (SID) systems to cochannel speech, mixtures from two speakers. Previous work demonstrates that extraction of usable speech segments significantly improves SID performance if speaker assignment, or sequential organization of the segments, is known. We derive a joint computational objective for speaker assignment and cochannel SID, leading to a problem of search for the optimum hypothesis. We propose a hypothesis pruning method based on speaker models to make the search computationally feasible. Evaluation results show that the proposed algorithm approaches the ceiling SID performance obtained with prior pitch information, and yields significant improvement over alternative approaches on speaker assignment.

Original languageEnglish (US)
Number of pages4
StatePublished - 2004
Externally publishedYes
Event8th International Conference on Spoken Language Processing, ICSLP 2004 - Jeju, Jeju Island, Korea, Republic of
Duration: Oct 4 2004Oct 8 2004


Other8th International Conference on Spoken Language Processing, ICSLP 2004
Country/TerritoryKorea, Republic of
CityJeju, Jeju Island

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language


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