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Volumn , Issue , 2008, Pages 4957-4960

Rhetorical-state hidden markov models for extractive speech summarization

Author keywords

Hidden Markov models; Rhetorical information; Speech features; Spoken document summarization

Indexed keywords

ACOUSTICS; COMPUTATIONAL GRAMMARS; COMPUTER NETWORKS; LEARNING SYSTEMS; MARKOV PROCESSES; OBJECT RECOGNITION; SIGNAL PROCESSING; SPEECH; SPEECH RECOGNITION;

EID: 51449090158     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518770     Document Type: Conference Paper
Times cited : (13)

References (13)
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  • 2
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    • Chan, H.Y.1    Zhang, J.J.2    Fung, P.3    Cao, L.4
  • 4
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    • A Unified Probabilistic Generative Framework for Extractive Spoken Document Summarization
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  • 5
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  • 9
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    • Automatic speech summarization applied to English broadcast news speech
    • Orlando, USA
    • C. Hori, S. Furui, R. Malkin, H. Yu, and A.Waibel, "Automatic speech summarization applied to English broadcast news speech," Proc. ICASSP2002, Orlando, USA, vol. 1, pp. 9-12, 2002.
    • (2002) Proc. ICASSP2002 , vol.1 , pp. 9-12
    • Hori, C.1    Furui, S.2    Malkin, R.3    Yu, H.4    Waibel, A.5
  • 10
    • 44849125885 scopus 로고    scopus 로고
    • Comparing lexical, acoustic/prosodic, structural and discourse features for speech summarization
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  • 12
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    • Improving lecture speech summarization using rhetorical information
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.