Speech/non-speech discrimination combining advanced feature extraction and SVM learning

INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

Volumn 4, Issue , 2006, Pages 1662-1665

  Ramírez, Javier ^a   Yélamos, Pablo ^a   Górriz, Juan Manuel ^a   Segura, José C ^a   García, Luz ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

Speech enhancement; Support vector machine learning; Voice activity detection

Indexed keywords

ACOUSTIC NOISE; EXTRACTION; FEATURE EXTRACTION; IMAGE RETRIEVAL; LEARNING SYSTEMS; SIGNAL TO NOISE RATIO; SPEECH; SPEECH ENHANCEMENT; SPEECH PROCESSING; SUPPORT VECTOR MACHINES;

CONTEXTUAL INFORMATION; DISTRIBUTED SPEECH RECOGNITION; EXPERIMENTAL ANALYSIS; EXTRACTION PROCESS; NOISY ENVIRONMENT; PROCESSING SYSTEMS; SVM-BASED CLASSIFIERS; VOICE ACTIVITY DETECTION;

SPEECH RECOGNITION;

EID: 44949120895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. K. Woo, T. Yang, K. Park, and C. Lee, "Robust voice activity detection algorithm for estimating noise spectrum," Electronics Letters, vol. 36, no. 2, pp. 180-181, 2000.
2. M. Marzinzik and B. Kollmeier, "Speech pause detection for noise spectrum estimation by tracking power envelope dynamics," IEEE Transactions on Speech and Audio Processing, vol. 10, no. 6, pp. 341-351, 2002.
3. J. Sohn, N. S. Kim, and W. Sung, "A statistical model-based voice activity detection," IEEE Signal Processing Letters, vol. 16, no. 1, pp. 1-3, 1999.
4. Q. Li, J. Zheng, A. Tsai, and Q. Zhou, "Robust endpoint detection and energy normalization for real-time speech and speaker recognition," IEEE Transactions on Speech and Audio Processing, vol. 10, no. 3, pp. 146-157, 2002.
5. V.N. Vapnik, Statistical Learning Theory, John Wiley and Sons, Inc., New York, 1998.
6. D. Enqing, L. Guizhong, Z. Yatong, and Z. Xiaodi, "Applying support vector machines to voice activity detection," in 6th International Conference on Signal Processing, 2002, vol. 2, pp. 1124-1127.
7. ITU, "A silence compression scheme for G.729 optimized for terminals conforming to recommendation V.70," ITU-T Recommendation G.729-Annex B, 1996.
8. D. Enqing, Z. Heming, and L. Yongli, "Low bit and variable rate speech coding using local cosine transform," in Proc. of the 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering (TENCON '02), 2002, vol. 1, pp. 423-426.
9. F. Qi, C. Bao, and Y. Liu, "A novel two-step SVM classifier for voiced/unvoiced/silence classification of speech," in International Symposium on Chinese Spoken Language Processing, 2004, pp. 77-80.
10. ETSI, "Voice activity detector (VAD) for Adaptive Multi-Rate (AMR) speech traffic channels," ETSI EN 301 708 Recommendation, 1999.
11. ETSI, "Speech processing, transmission and quality aspects (STQ); distributed speech recognition; advanced front-end feature extraction algorithm; compression algorithms," ETSI ES 202 050 Recommendation, 2002.
12. J.C. Piatt, Advances in Kernel Methods - Support Vector Learning, chapter Fast Training of Support Vector Machines using Sequential Minimal Optimization, pp. 185-208, MIT Press, 1999.
13. J. Ramírez, P. Yélamos, J. M. Górriz, C. G. Puntonet, and J. C. Segura, "Svm-enabled voice activity detection," Lecture Notes in Computer Science, vol. 3972, pp. 676-681, 2006.
14. J. Ramírez, J. C. Segura, M. C. Benítez, A. de la Torre, and A. Rubio, "Efficient voice activity detection algorithms using long-term speech information," Speech Communication, vol. 42, no. 3-4, pp. 271-287, 2004.
15. C.C. Chang and C. J. Lin, "LIBSVM: a library for support vector machines," Tech. Rep., Dept. of Computer Science and Information Engineering, National Taiwan University, 2001.
16. A. Moreno, L. Borge, D. Christoph, R. Gael, C. Khalid, E. Stephan, and A. Jeffrey, "SpeechDat-Car: A Large Speech Database for Automotive Environments," in Proceedings of the IILREC Conference, 2000.