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Volumn , Issue , 2002, Pages 1501-1504

Training topic classifiers for conversational speech with limited data

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION;

EID: 85009170359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (5)
  • 1
    • 85128374611 scopus 로고    scopus 로고
    • Using untranscribed training data to improve performance
    • Sydney, Australia
    • G. Zavaliagkos et al, "Using Untranscribed Training Data to Improve Performance", ICSLP, Sydney, Australia, 1998.
    • (1998) ICSLP
    • Zavaliagkos, G.1
  • 2
    • 85009292137 scopus 로고    scopus 로고
    • Portability issues for speech recognition technologies
    • San Diego, CA, March
    • L. Lamel et al, "Portability Issues for Speech Recognition Technologies", Proceedings of Human Language Technology Conference, San Diego, CA, March 2001.
    • (2001) Proceedings of Human Language Technology Conference
    • Lamel, L.1
  • 3
    • 19244369156 scopus 로고    scopus 로고
    • Unsupervised training techniques for natural language call routing
    • Florida, USA
    • R. Iyer, H. Gish and D. McCarthy, "Unsupervised Training Techniques for Natural Language Call Routing", to appear in ICASSP, Florida, USA, 2002.
    • (2002) ICASSP
    • Iyer, R.1    Gish, H.2    McCarthy, D.3
  • 4
    • 85009205161 scopus 로고    scopus 로고
    • The 2001 BYBLOS English LVCSR systems
    • Florida, USA
    • S. Matsoukas et al, "The 2001 BYBLOS English LVCSR Systems", to appear in ICASSP, Florida, USA, 2002.
    • (2002) ICASSP
    • Matsoukas, S.1
  • 5
    • 33646934750 scopus 로고
    • Automatic sublanguage identification for a new text
    • Kyoto, Japan, August
    • S. Sekine, "Automatic Sublanguage Identification for a New Text", Second Annual Workshop on Very Large Corpora, Kyoto, Japan, pp. 109-120, August 1994.
    • (1994) Second Annual Workshop on Very Large Corpora , pp. 109-120
    • Sekine, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.