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Volumn 2006, Issue , 2006, Pages 1901-1904

Improving speaker diarization by cross EM refinement

Author keywords

BIC; Cross EM refinement; Hierarchical clustering; Speaker diarization

Indexed keywords

CROSS EM REFINEMENT; HIERARCHICAL CLUSTERING; SPEAKER DIARIZATION; SPEECH SEGMENTS;

EID: 34247619827     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2006.262927     Document Type: Conference Paper
Times cited : (2)

References (7)
  • 1
    • 84875953283 scopus 로고    scopus 로고
    • Clustering via the bayesian information criterion with applicationsin speech recognition
    • Scott Shaobing Chen and P.S. Gopalakrishnan, "Clustering via the bayesian information criterion with applicationsin speech recognition," ICASSP, vol. 2, pp. 645-648, 1998.
    • (1998) ICASSP , vol.2 , pp. 645-648
    • Shaobing Chen, S.1    Gopalakrishnan, P.S.2
  • 2
    • 78650540904 scopus 로고    scopus 로고
    • Improved speaker segmentation and segments clustering using the bayesian information criterion
    • A. Tritschler and R.A. Gopinath, "Improved speaker segmentation and segments clustering using the bayesian information criterion," EUROSPEECH, 1999.
    • (1999) EUROSPEECH
    • Tritschler, A.1    Gopinath, R.A.2
  • 3
    • 4544361649 scopus 로고    scopus 로고
    • The elisa consortium approaches in broadcast news speaker segmentation during the nist 2003 rich transcription evaluation
    • Daniel Moraru, Sylvain Meignier, Corinne Fredouille, Laurent Besacier, and Jean-Francois Bonastre, "The elisa consortium approaches in broadcast news speaker segmentation during the nist 2003 rich transcription evaluation," ICASSP, 2004.
    • (2004) ICASSP
    • Moraru, D.1    Meignier, S.2    Fredouille, C.3    Besacier, L.4    Bonastre, J.5
  • 5
    • 85009080849 scopus 로고    scopus 로고
    • Speaker segmentation and clustering in meetings
    • Qin Jin and Tanja Schultz, "Speaker segmentation and clustering in meetings," ICSLP, 2004.
    • (2004) ICSLP
    • Jin, Q.1    Schultz, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.