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Volumn , Issue , 2001, Pages 503-506

Recent advances in speech recognition system for IBM DARPA communicator

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH COMMUNICATION;

EID: 85009112391     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (11)
  • 3
    • 0030638031 scopus 로고    scopus 로고
    • A post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)
    • J Fiscus, "A Post-Processing System to Yield Reduced Word Error Rates: Recognizer Output Voting Error Reduction (ROVER)", Technocal Report, National Institute of Standards and Technology, 1997.
    • (1997) Technocal Report, National Institute of Standards and Technology
    • Fiscus, J.1
  • 4
    • 0003454539 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • Cambridge University Engineering Department
    • M Gales, "Maximum Likelihood Linear Transformations for HMM-based Speech Recognition". Technical Report CUED/FINFENG, Cambridge University Engineering Department, 1997.
    • (1997) Technical Report CUED/FINFENG
    • Gales, M.1
  • 5
    • 0002881982 scopus 로고    scopus 로고
    • Speaker adaptation based on pre-clustering training speakers
    • Y Gao, et al, "Speaker Adaptation Based on Pre-Clustering Training Speakers", Proceedings of EuroSpeech'97.
    • Proceedings of EuroSpeech'97
    • Gao, Y.1
  • 6
    • 0032653634 scopus 로고    scopus 로고
    • Investigations on inter-speaker variability in the feature space
    • R Haeb-Umbach, "Investigations on Inter-Speaker Variability in the Feature Space", Proceedings of the ICASSP, pp397-400, 1999.
    • (1999) Proceedings of the ICASSP , pp. 397-400
    • Haeb-Umbach, R.1
  • 7
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models
    • C Leggetter, et al, "Maximum Likelihood Linear Regression for Speaker Adaptation of Continuous Density Hidden Markov Models", Computer Speech and Language, Vol 9, pp 171-185, 1995.
    • (1995) Computer Speech and Language , vol.9 , pp. 171-185
    • Leggetter, C.1
  • 8
    • 16344379798 scopus 로고    scopus 로고
    • Embedded grammar objects within the language models
    • US patent pending
    • M Monkowski, "Embedded Grammar Objects within the Language Models", IBM Technical Report, US patent pending, 2001.
    • (2001) IBM Technical Report
    • Monkowski, M.1
  • 9
    • 0032639702 scopus 로고    scopus 로고
    • Frame discrimination training of HMMs for large vocabulary speech recognition
    • D.Povey, P.C.Woodland, "Frame Discrimination Training of HMMs for Large Vocabulary Speech Recognition", Proceedings of the ICASSP, pp333-336, 1999.
    • (1999) Proceedings of the ICASSP , pp. 333-336
    • Povey, D.1    Woodland, P.C.2
  • 11
    • 0029764708 scopus 로고    scopus 로고
    • Speaker normalization on conversational telephone system
    • S Wegmann, et al, "Speaker Normalization on Conversational Telephone System", Proceedings of ICASSP, 1996.
    • (1996) Proceedings of ICASSP
    • Wegmann, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.