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Volumn , Issue , 2003, Pages 315-320

On the feasibility of ASR in extreme noise using the PARAT earplug communication terminal

Author keywords

[No Author keywords available]

Indexed keywords

AUDITION; MICROPHONES;

EID: 33846233389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2003.1318460     Document Type: Conference Paper
Times cited : (17)

References (14)
  • 1
    • 0029288202 scopus 로고
    • Speech recognition in noisy environments: A survey
    • Elsevier Science, April
    • Y. Gong, "Speech recognition in noisy environments: a survey," Speech Communication, Elsevier Science, vol. 16, pp. 261-291, April 1995.
    • (1995) Speech Communication , vol.16 , pp. 261-291
    • Gong, Y.1
  • 2
    • 85009217371 scopus 로고    scopus 로고
    • Signal and feature compensation methods for robust speech recognition
    • G. Davis, Ed., CRC Press, Boca Raton, Florida, USA
    • R. Singh, R.M. Stern, and B. Raj, "Signal and feature compensation methods for robust speech recognition," in CRC Handbook on Noise Reduction in Speech Applications, G. Davis, Ed., CRC Press, Boca Raton, Florida, USA, 2002.
    • (2002) CRC Handbook on Noise Reduction in Speech Applications
    • Singh, R.1    Stern, R.M.2    Raj, B.3
  • 3
    • 85009213257 scopus 로고    scopus 로고
    • Model compensation and matched condition methods for robust speech recognition
    • G. Davis, Ed., CRC Press, Boca Raton, Florida, USA
    • R. Singh, B. Raj, and R.M. Stern, "Model compensation and matched condition methods for robust speech recognition," in CRC Handbook on Noise Reduction in Speech Applications, G. Davis, Ed., CRC Press, Boca Raton, Florida, USA, 2002.
    • (2002) CRC Handbook on Noise Reduction in Speech Applications
    • Singh, R.1    Raj, B.2    Stern, R.M.3
  • 4
    • 85009284942 scopus 로고
    • Non-linear spectral subtraction (NSS) and hidden Markov models for robust speech recognition in car noise environments
    • San Francisco, California, USA, March
    • P. Lockwood, J. Boudy, and M. Blanchet, "Non-linear spectral subtraction (NSS) and hidden Markov models for robust speech recognition in car noise environments," in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, San Francisco, California, USA, pp. 265-268, March 1992.
    • (1992) Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing , pp. 265-268
    • Lockwood, P.1    Boudy, J.2    Blanchet, M.3
  • 7
    • 84946816146 scopus 로고    scopus 로고
    • An earplug passes the word
    • December
    • A.-L. Aakervik, "An earplug passes the word", in Gemini, December 2000.
    • (2000) Gemini
    • Aakervik, A.-L.1
  • 10
    • 0027623210 scopus 로고
    • Assessment for automatic speech recognition: II. NOISEX92: A database and an experiment to study the effect of additive noise on speech recognition systems
    • Elsevier Science, July
    • A. Vargas and H. Steeneken, "Assessment for automatic speech recognition: II. NOISEX92: A database and an experiment to study the effect of additive noise on speech recognition systems," Speech Communication, Elsevier Science, vol. 12, pp. 247-251, July 1993.
    • (1993) Speech Communication , vol.12 , pp. 247-251
    • Vargas, A.1    Steeneken, H.2
  • 11
    • 0003571976 scopus 로고    scopus 로고
    • Cambridge University Engineering Department, Cambridge, England, December
    • S. Young et.al., The HTK book - version 3.2, Cambridge University Engineering Department, Cambridge, England, December 2002.
    • (2002) The HTK Book - Version 3.2
    • Young, S.1
  • 13
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • April
    • C.J. Leggetter and P.C Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models", Computer Speech and Language, vol. 9, pp. 171-185, April 1995.
    • (1995) Computer Speech and Language , vol.9 , pp. 171-185
    • Leggetter, C.J.1    Woodland, P.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.