Voice activity detection algorithms using subband power distance feature for noisy environments

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

Volumn , Issue , 2008, Pages 2586-2589

  Van Pham, Tuan ^a   Stadtschnitzer, Michael ^a   Pernkopf, Franz ^a   Kubin, Gernot ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Discrete wavelet transform; Feedforward neural network; Statistical percentile filter; Subband power distance; Voice activity detection

Indexed keywords

ADAPTIVE THRESHOLDS; ADVERSE ENVIRONMENT; DISTANCE FEATURE; ENVIRONMENTAL NOISE; FEED-FORWARD; FILTER-BASED; INPUT VECTOR; NOISE THRESHOLDS; NOISY ENVIRONMENT; PERFORMANCE EVALUATION; SECOND DERIVATIVES; STATISTICAL PERCENTILE FILTER; SUB-BANDS; TIMIT DATABASE; VOICE ACTIVITY DETECTION; VOICE ACTIVITY DETECTION ALGORITHMS; WAVELET SUBBANDS;

ALGORITHMS; DISCRETE WAVELET TRANSFORMS; FEEDFORWARD NEURAL NETWORKS; SPEECH COMMUNICATION;

SPEECH RECOGNITION;

EID: 84867193135     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. A. Benyassine, E. Shlomot, H.-Y. Su, D. Massaloux, C. Lamblin, and J.-P. Petit, "ITU-T Recommendation G.729 Annex B: A silence compression scheme for use with G.729 optimized for V.70 digital simultaneous voice and data applications," IEEE Communications Magazine, vol. 35, no. 9, pp. 64-73, 1997.
2. ETSI, ETSI ES 202 050 V1.1.3 Speech Processing, Transmission and Quality Aspects (STQ), Distributed speech recognition, Advanced front-end feature extraction algorithm, Compression algorithms, 2003.
3. I. Cohen, "Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging," IEEE Trans. on Speech and Audio Processing, vol. 11, no. 5, pp. 466-475, 2003.
4. T. V. Pham, M. Neffe, and G. Kubin, "Robust voice activity detection for narrow-bandwidth speaker verification under adverse environments," in Proc. Interspeech, 2007, pp. 2037-2040.
5. J. Sohn, N. S. Kim, and W. Sung, "A statistical model-based voice activity detection," IEEE Signal Processing Letters, vol. 6, no. 1, pp. 1-3, 1999.
6. J. Ramirez, J.C. Segura, C. Benitez, A. de la Torre, and A. Rubio, "An effective subband OSF-based VAD with noise reduction for robust speech recognition," IEEE Trans. on Speech and Audio Processing, vol. 13, no. 6, pp. 1119-1129, 2005.
7. J.H. Chang, N.S. Kim, and S.K.Mitra, "Voice activity detection based on multiple statistical models," IEEE Trans. on Signal Processing, vol. 54, no. 6, pp. 1965-1976, 2006.
8. J. W. Shin, H. J. Kwon, S. H. Jin, and N. S. Kim, "Voice activity detection based on conditional MAP criterion," Signal Processing Letters, vol. 15, pp. 257-260, 2008.
9. J. S. Garofolo, L. F. Lamel, W. M. Fisher, J. G. Fiscus, D. S. Pallett, N. L. Dahlgren, and V. Zue, "TIMIT acoustic - phonetic - continuous speech corpus," Tech. Rep., National Institute of Standards and Technology, 1993.
10. M. I. A. Lourakis, "A brief description of the Levenberg-Marquardt algorithm implemened," Tech. Rep., Foundation for Research and Technology, Hellas, 2007.