메뉴 건너뛰기




Volumn , Issue , 2008, Pages 132-135

A joint particle filter and multi-step linear prediction framework to provide enhanced speech features prior to automatic recognition

Author keywords

Automatic speech recognition; Joint denoising and dereveberation; Multi step linear prediction; Particle filter; Speech feature enhancement

Indexed keywords

AIR FILTERS; FORECASTING; MICROPHONES; NONLINEAR FILTERING; REVERBERATION; SIGNAL FILTERING AND PREDICTION; SPEECH; WAVE FILTERS;

EID: 50449110561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSCMA.2008.4538704     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
  • 2
    • 0032050110 scopus 로고    scopus 로고
    • Maximum likelihood linear transformations for HMM-based speech recognition
    • M. J. F. Gales, "Maximum likelihood linear transformations for HMM-based speech recognition," Computer Speech and Language, vol. 12, pp. 75-98, 1998.
    • (1998) Computer Speech and Language , vol.12 , pp. 75-98
    • Gales, M.J.F.1
  • 3
    • 0029288633 scopus 로고
    • Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models
    • 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, no. 2, pp. 171-185, 1995.
    • (1995) Computer Speech and Language , vol.9 , Issue.2 , pp. 171-185
    • Leggetter, C.J.1    Woodland, P.C.2
  • 4
    • 33645785839 scopus 로고    scopus 로고
    • Particle filter based non-stationary noise tracking for robust speech feature enhancement
    • M. Fujimoto and S. Nakamura, "Particle filter based non-stationary noise tracking for robust speech feature enhancement," Proc. of ICASSP, 2005.
    • (2005) Proc. of ICASSP
    • Fujimoto, M.1    Nakamura, S.2
  • 5
    • 0141591493 scopus 로고    scopus 로고
    • Tracking noise via dynamical systems with a continuum of states
    • R. Singh and B. Raj, "Tracking noise via dynamical systems with a continuum of states," Proc. of ICASSP, 2003.
    • (2003) Proc. of ICASSP
    • Singh, R.1    Raj, B.2
  • 6
    • 44949224968 scopus 로고    scopus 로고
    • Coupling particle filters with automatic speech recognition for speech feature enhancement
    • Sep
    • F. Faubel and M. Wölfel, "Coupling particle filters with automatic speech recognition for speech feature enhancement," Proc. of Interspeech, Sep. 2006.
    • (2006) Proc. of Interspeech
    • Faubel, F.1    Wölfel, M.2
  • 7
    • 56149111866 scopus 로고    scopus 로고
    • Revereberation reduction for improved speech recognition
    • I. Tashev and D. Allred, "Revereberation reduction for improved speech recognition," in Proc. of HSCMA, 2005.
    • (2005) Proc. of HSCMA
    • Tashev, I.1    Allred, D.2
  • 8
    • 50449102864 scopus 로고    scopus 로고
    • The harming part of room acoustics in automatic speech recognition
    • R. Petrick, K. Lohde, M. Wolff, and R. Hoffmann, "The harming part of room acoustics in automatic speech recognition," Proc. of Interspeech, pp. 1094-1097, 2007.
    • (2007) Proc. of Interspeech , pp. 1094-1097
    • Petrick, R.1    Lohde, K.2    Wolff, M.3    Hoffmann, R.4
  • 9
    • 33745195661 scopus 로고    scopus 로고
    • Efficient dereverberation framework for automatic speech recognition
    • K. Kinoshita, T. Nakatani, and Miyoshi M., "Efficient dereverberation framework for automatic speech recognition," Proc. of Interspeech, pp. 3145-3148, 2005.
    • (2005) Proc. of Interspeech , pp. 3145-3148
    • Kinoshita, K.1    Nakatani, T.2    Miyoshi, M.3
  • 10
    • 0030696446 scopus 로고    scopus 로고
    • Robust blind identification and equalization based on multi-step predictors
    • D. Gespert and P. Duhamel, "Robust blind identification and equalization based on multi-step predictors," Proc. of ICASSP, vol. 26, no. 5, pp. 3621-3624, 1997.
    • (1997) Proc. of ICASSP , vol.26 , Issue.5 , pp. 3621-3624
    • Gespert, D.1    Duhamel, P.2
  • 11
    • 85032772258 scopus 로고    scopus 로고
    • Minimum variance distortionless response spectral estimation, review and refinements
    • Sept
    • M. Wölfel and J.W. McDonough, "Minimum variance distortionless response spectral estimation, review and refinements," IEEE Signal Processing Magazine, vol. 22, no. 5, pp. 17-126, Sept. 2005.
    • (2005) IEEE Signal Processing Magazine , vol.22 , Issue.5 , pp. 17-126
    • Wölfel, M.1    McDonough, J.W.2
  • 12
    • 0036299277 scopus 로고    scopus 로고
    • A bayesian approach to speech feature enhancement unsing the dynamic cepstral prior
    • L. Deng, Droppo, and A. Acero, "A bayesian approach to speech feature enhancement unsing the dynamic cepstral prior," in Proc. of ICASSP, 2002.
    • (2002) Proc. of ICASSP
    • Deng, L.1    Droppo2    Acero, A.3
  • 13
    • 51449110424 scopus 로고    scopus 로고
    • Integration of the predicted walk model estimate into the particle filter framework
    • M. Wölfel, "Integration of the predicted walk model estimate into the particle filter framework," in Proc. of ICASSP, 2008.
    • (2008) Proc. of ICASSP
    • Wölfel, M.1
  • 14
    • 34547552191 scopus 로고    scopus 로고
    • Overcoming the vector Taylor series approximation in speech feature enhancement - a particle filter approach
    • F. Faubel and M. Wölfel, "Overcoming the vector Taylor series approximation in speech feature enhancement - a particle filter approach," Proc. of ICASSP, 2007.
    • (2007) Proc. of ICASSP
    • Faubel, F.1    Wölfel, M.2
  • 15
    • 77249114287 scopus 로고    scopus 로고
    • J.G. Fiscus, J. Ajot, M. Michel, and J.S. Garofolo, The rich transcription 2006 spring meeting recognition evaluation, Proc. of Machine Learning for Multimodal Interaction, S. Renals, S. Bengio, and J. G. Fiscus (Eds.), LNCS 4299, Springer, pp. 309-322, 2006.
    • J.G. Fiscus, J. Ajot, M. Michel, and J.S. Garofolo, "The rich transcription 2006 spring meeting recognition evaluation," Proc. of Machine Learning for Multimodal Interaction, S. Renals, S. Bengio, and J. G. Fiscus (Eds.), LNCS vol. 4299, Springer, pp. 309-322, 2006.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.