Coupling particle filters with automatic speech recognition for speech feature enhancement

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 1, Issue , 2006, Pages 37-40

  Faubel, Friedrich ^a   Wölfel, Matthias ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

Automatic speech recognition; Particle filters; Phoneme specific; Speech feature enhancement

Indexed keywords

BANDPASS FILTERS; DEEP NEURAL NETWORKS; DISTRIBUTED COMPUTER SYSTEMS; EXTRACTION; FEATURE EXTRACTION; FOURIER TRANSFORMS; MONTE CARLO METHODS; SIGNAL FILTERING AND PREDICTION; SPEECH; SPEECH PROCESSING; TARGET TRACKING;

AUTOMATIC SPEECH RECOGNITION; GAUSSIAN MIXTURE DISTRIBUTION; MINIMUM VARIANCE DISTORTIONLESS RESPONSE; PARTICLE FILTER; PHONEME-SPECIFIC; ROBUST SPEECH FEATURE EXTRACTION; SPEECH FEATURE ENHANCEMENT; SPEECH RECOGNITION SYSTEMS;

SPEECH RECOGNITION;

EID: 44949224968     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. N.J. Gordon, D.J. Salmond, and A.F.M. Smith, "Novel approach to nonlinear/non-gaussian bayesian state estimation," IEE Proceedings on Radar and Signal Processing, vol. 140, pp. 107-113, Sept. 1993.
2. M. Isard and B. Blake, "Condensation - conditional density propagation for visual tracking," Int. J. Computer Vision, vol. 29, 1, pp. 5-28, 1998.
3. B. Raj, R. Singh, and R. Stern, "On tracking noise with linear dynamical system models," Proc. of ICASSP, 2004.
4. M. Fujimoto and S. Nakamura, "Particle filter based nonstationary noise tracking for robust speech feature enhancement," Proc. of ICASSP, 2005.
5. S.F. Boll, "Suppression of acoustic noise in speech using spectral subtraction," ASSP, vol. 27, pp. 113-120, Apr. 1979.
6. R. Haeb-Umbach and J Schmalenstroeer, "A comparison of particle filtering variants for speech feature enhancement," Proc. of Interspeech, 2005.
7. B. Raj and R. Singh, "Tracking noise via dynamical systems with a continuum of states," Proc. of ICASSP, 2003.
8. P.J. Moreno, B. Raj, and R.M. Stern, "A vector taylor series approach for environment-independent speech recognition," Proc. of ICASSP, 1996.
9. M. Wölfel and J.W. McDonough, "Minimum variance distortionless response spectral estimation, review and refinements," IEEE Signal Processing Magazine, vol. 22, no. 5, pp. 117-126, Sept. 2005.
10. M.N. Murthi and B.D. Rao, "All-pole modeling of speech based on the minimum variance distortionless response spectrum," IEEE Transactions on Speech and Audio Processing, vol. 8, no. 3, pp. 221-239, May 2000.
11. NIST, "Rich transcription 2005 spring meeting recognition evaluation," www.nist.gov/speech/tests/rt/rt2005/spring.
12. The Freesound Project, "garbage.coll.serv.ds70p.mp3," freesound.iua.upf.edu/samplesViewSingle.php?id=6986.
13. Linguistic Data Consortium (LDC), "Translanguage english database," www.ldc.upenn.edu/Catalog/ LDC2002S04.html.
14. C. J. Leggetter and P. C. Woodland, "Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models," Computer Speech and Language, pp. 171-185, 1995.
15. M.J.F. Gales, "Semi-tied covariance matrices," Proc. of ICASSP, 1998.