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Volumn , Issue , 2010, Pages 2838-2841

Improved topic classification and keyword discovery using an HMM-based speech recognizer trained without supervision

Author keywords

Speech recognition; Topic classification; Unsupervised learning

Indexed keywords

SPEECH COMMUNICATION; UNSUPERVISED LEARNING; DATA MINING;

EID: 79959819374     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (13)
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  • 2
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  • 3
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  • 4
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    • Unsupervised training on large amount of arabic broadcast data
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    • Ma, J.1    Matsoukas, S.2
  • 5
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    • Y. Zhang and J. Glass, "Towards multi-speaker unsupervised speech pattern discovery," in ICASSP, 2010
    • (2010) ICASSP
    • Zhang, Y.1    Glass, J.2
  • 6
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    • May
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    • Cohen, J.1
  • 7
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  • 8
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    • Gish, H.1    Ng, K.2
  • 9
    • 34147119672 scopus 로고    scopus 로고
    • Advances in transcript of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system
    • S. Matsoukas et al, "Advances in transcript of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system," IEEE TASLP, vol. 14, pp. 1541-1555, 2006.
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    • Matsoukas, S.1
  • 10
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  • 11
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  • 13
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    • Topic identification from audio recordings using word and phone recognition lattices
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.