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Volumn , Issue , 2011, Pages 1085-1088

Integrated online speaker clustering and adaptation

Author keywords

Adaptation; Clustering; Online diarization

Indexed keywords

ADAPTATION; ADAPTATION TECHNIQUES; CLUSTERING; HIGH QUALITY; INTEGRATED APPROACH; ONLINE DIARIZATION; SPEAKER ADAPTATION; SPEAKER CLUSTERING; SPEECH TRANSCRIPTIONS; YIELD GAIN;

EID: 84865727926     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 1
    • 44849090969 scopus 로고    scopus 로고
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    • Renals, S.1    Hain, T.2    Bourlard, H.3
  • 4
    • 85128356454 scopus 로고    scopus 로고
    • Partitioning and transcription of broadcast news data
    • J.L. Gauvain, L. Lamel, and G. Adda, "Partitioning and Transcription of Broadcast News Data," in ICSLP, 1998.
    • (1998) ICSLP
    • Gauvain, J.L.1    Lamel, L.2    Adda, G.3
  • 7
    • 33646385001 scopus 로고    scopus 로고
    • Combining speaker identification and BIC for speaker diarization
    • X. Zhu, C. Barras, S. Meignier, and J.L. Gauvain, "Combining Speaker Identification and BIC for Speaker Diarization," in Interspeech, 2005.
    • (2005) Interspeech
    • Zhu, X.1    Barras, C.2    Meignier, S.3    Gauvain, J.L.4
  • 8
    • 44849103702 scopus 로고    scopus 로고
    • Never-ending learning system for on-line speaker diarization
    • K.Markov and S. Nakamura, "Never-ending Learning System for On-line Speaker Diarization," in ASRU, 2007.
    • (2007) ASRU
    • Markov, K.1    Nakamura, S.2
  • 9
    • 79959841110 scopus 로고    scopus 로고
    • GMM-UBM based openset online speaker diarization
    • J. Geiger, F. Wallhoff, and G. Rigoll, "GMM-UBM Based Openset Online Speaker Diarization," in Interspeech, 2010.
    • (2010) Interspeech
    • Geiger, J.1    Wallhoff, F.2    Rigoll, G.3
  • 10
    • 70349205578 scopus 로고    scopus 로고
    • Online speaker clustering using incremental learning of an ergodic hidden markov model
    • T. Koshinaka, K. Nagatomo, and K. Shinoda, "Online Speaker Clustering using Incremental Learning of an Ergodic Hidden Markov Model," in ICASSP, 2009.
    • (2009) ICASSP
    • Koshinaka, T.1    Nagatomo, K.2    Shinoda, K.3
  • 11
    • 84865705235 scopus 로고    scopus 로고
    • Online speaker adaptation and tracking for real-time speech recognition
    • D. Liu, D. Kiecza, A. Srivastava, and F. Kubala, "Online Speaker Adaptation and Tracking for Real-time Speech Recognition," in Interspeech, 2005.
    • (2005) Interspeech
    • Liu, D.1    Kiecza, D.2    Srivastava, A.3    Kubala, F.4
  • 12
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for hmm-based speech recognition
    • M. J. F. Gales, "Maximum likelihood linear transformations for hmm-based speech recognition," Computer Speech and Language, vol. 12, pp. 75-98, 1997.
    • (1997) Computer Speech and Language , vol.12 , pp. 75-98
    • Gales, M.J.F.1
  • 13
    • 79959821913 scopus 로고    scopus 로고
    • Fast computation of speaker characterization vector using MLLR and sufficient statistics in anchor model framework
    • A.K. Sarkar and S. Umesh, "Fast Computation of Speaker Characterization Vector using MLLR and Sufficient Statistics in Anchor Model Framework," in Interspeech, 2010.
    • (2010) Interspeech
    • Sarkar, A.K.1    Umesh, S.2
  • 17
    • 44949090835 scopus 로고    scopus 로고
    • Getting more mileage from web text sources for conversational speech language modeling using class-dependent mixtures
    • I. Bulyko, M. Ostendorf, and A. Stolcke, "Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures," in HLT, 2003.
    • (2003) HLT
    • Bulyko, I.1    Ostendorf, M.2    Stolcke, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.