A study of mutual front-end processing method based on statistical model for noise robust speech recognition

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

Volumn , Issue , 2009, Pages 1235-1238

  Fujimoto, Masakiyo ^a   Ishizuka, Kentaro ^a   Nakatani, Tomohiro ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

Mutual front end processing; Noise suppression; Speech recognition; Voice activity detection

Indexed keywords

AUTOMATIC SPEECH RECOGNITION; CONVENTIONAL METHODS; FRONT-END PROCESSING; NOISE ROBUST SPEECH RECOGNITION; NOISE SUPPRESSION; SPEECH CORPORA; STATISTICAL MODELS; VOICE ACTIVITY DETECTION;

PROCESSING; REMELTING; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 70450204727     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Fujimoto, M. et al., "A voice activity detection based on the adaptive integration of multiple speech features and a signal decision scheme," Proc. ICASSP '08, pp. 4441-4444, Apr. 2008.
2. Fujimoto, M. et al., "Noise robust voice activity detection based on switching Kalman filter," Proc. of Interspeech '07, pp. 2933-2936, Aug. 2007.
3. Ishizuka, K. et al., "Study of noise robust voice activity detection based on periodic component to aperiodic component ratio," Proc. of SAPA '06, pp. 65-70, Sept. 2006.
4. Fujimoto, M. et al., "Study of integration of statistical model-based voice activity detection and noise suppression," Proc. Interspeech '08, pp. 2008-2011, Sept. 2008.
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9. Sohn, J. et al., "A statistical model-based voice activity detection," IEEE Signal Processing Letters, Vol. 6, No. 1, pp. 1-3, Jan. 1999.
10. HTK Web site, http://htk.eng.cam.ac.uk/