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Volumn 4, Issue , 2007, Pages 5-8

A discriminative training framework using N-best speech recognition transcriptions and scores for spoken utterance classification

Author keywords

Automatic speech recognition; Discriminative training; Spoken utterance classification; Statistical language modeling

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DATABASE SYSTEMS; ERROR ANALYSIS; SEMANTICS;

EID: 34547510837     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.367149     Document Type: Conference Paper
Times cited : (3)

References (6)
  • 4
    • 84969232669 scopus 로고    scopus 로고
    • Stochastic language models for speech recpgnitipn and understanding
    • Sydney, Australia
    • G. Riccardi and A.L. Gorin, "Stochastic language models for speech recpgnitipn and understanding," in the Proceedings of ICSLP, Sydney, Australia, 1998.
    • (1998) the Proceedings of ICSLP
    • Riccardi, G.1    Gorin, A.L.2
  • 5
    • 0000767590 scopus 로고    scopus 로고
    • W. Chou, ''Discriminant-function-based minimum recognition error rate pattern-recognition approacht tp speech recognition, Proceedings of IEEE, VPI..88, np. 8, pp. 1201-1.224, August, 2000.
    • W. Chou, ''Discriminant-function-based minimum recognition error rate pattern-recognition approacht tp speech recognition," Proceedings of IEEE, VPI..88, np. 8, pp. 1201-1.224, August, 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.