Statistical model-based voice activity detection using support vector machine

IET Signal Processing

Volumn 3, Issue 3, 2009, Pages 205-210

  Jo, Q H ^a,b   Chang, J H ^a,b   Shin, J W ^a,b   Kim, N S ^a,b  

^a Inha University   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CONVENTIONAL TECHNIQUES; DECISION FUNCTIONS; DECISION RULES; GEOMETRIC MEANS; LIKELIHOOD RATIOS; NOISE ENVIRONMENTS; NOVEL TECHNIQUES; STATISTICAL MODELS; VOICE ACTIVITY DETECTIONS;

COMPUTATIONAL FLUID DYNAMICS; IMAGE RETRIEVAL; MAXIMUM LIKELIHOOD ESTIMATION; SPEECH RECOGNITION; STATISTICAL TESTS;

SUPPORT VECTOR MACHINES;

EID: 65549106422     PISSN: 17519675     EISSN: 17519683     Source Type: Journal    
DOI: 10.1049/iet-spr.2008.0128     Document Type: Article

References (18)

1. Srinivasant, K., and Gersho, A.: ' Voice activity detection for cellular networks ', Proc. IEEE Speech Coding Workshop, October, 1993, p. 85-86
2. ITU-T: 'A silence compression scheme for G.729 optimised for terminals conforming to ITU-T V.70'. ITU-T Rec. G. 729, Annex B, 1996
3. Ephraim, Y., and Malah, D.: ' Speech enhancement using a minimum mean-square error short-time spectal amplitude estimator ', IEEE Trans. Acoust. Speech Signal Process., 1984, ASSP-32, (6), p. 1190-1121 0096-3518
4. Sohn, J., Kim, N.S., and Sung, W.: ' A statistical model-based voice activity detection ', IEEE Signal Process. Lett., 1999, 6, (1), p. 1-3 1070-9908
5. Enqing, D., Guizhong, L., Yatong, Z., and Xiaodi, Z.: ' Applying support vector machines to voice activity detection ', Proc. Int. Conf. Signal Process., 2002, 2, p. 1124-1127
6. Ramírez, J., Yélamos, P., Górriz, J.M., and Segura, J.C.: ' SVM-based speech endpoint detection using contextual speech features ', Electron. Lett., 2006, 42, (7), p. 426-428 0013-5194
7. Ramírez, J., Yélamos, P., Górriz, J.M., Segura, J.C., and García, L.: ' Speech/non-speech discrimination combining advanced feature extraction and SVM learning ', Proc. Int. Conf. Spoken Language Process, Pittsburgh, September, 2006, p. 1662-1665
8. Sohn, J., and Sung, W.: ' A voice activity detector employing soft decision based noise spectrum adaptation ', Proc. Int. Conf. Acoustics, Speech, and Signal Process, May, 1998, 1, p. 365-368
9. Cho, Y.D., and Kondoz, A.: ' Analysis and improvement of a statistical model-based voice activity detector ', IEEE Signal Process. Lett., 2001, 8, (10), p. 276-278 1070-9908
10. Shin, J.W., Chang, J.-H., and Kim, N.S.: ' Voice activity detection based on a family of parametric distributions ', Pattern Recognit. Lett., 2007, 28, (11), p. 1295-1299 0167-8655
11. Chang, J.-H., Kim, N.S., and Mitra, S.K.: ' Voice activity detection based on multiple statistical models ', IEEE Trans. Signal Process., 2006, 54, (6), p. 1965-1976 1053-587X
12. Lee, Y.C., and Ahn, S.S.: ' Statistical model-based VAD algorithm with wavelet transform ', IEICE Trans. Fundamentals, 2006, E89-A, (6), p. 1594-1600
13. Ramírez, J., Górriz, J.M., Segura, J.C., Puntonet, C.G., and Rubio, A.J.: ' Speech/non-speech discrimination based on contextual information integrated bispectrum LRT ', IEEE Signal Process. Lett., 2006, 13, (8), p. 497-500 1070-9908
14. Vapnik, V.: ' An overview of statistical learning theory ', IEEE Trans. Neural Netw., 1999, 10, (5), p. 988-999 1045-9227
15. Temko, A., Macho, D., and Nadeu, C.: ' Enhanced SVM training for robust speech activity detection ', Proc. Int. Conf. Acoust. Speech, Signal Process., 2007, 4, p. IV-1024-IV-1028
16. ITU-T: 'Subjective quality test plan for the ITU-T 4 Kbit/s speech coding algorithm'. July, 1999
17. Kim, N.S., and Chang, J.-H.: ' Signal modification for robust speech coding ', IEEE Trans. Speech Audio Process., 2004, 1, (12), p. 9-18 1063-6676
18. Shin, J.W., Chang, J.-H., and Kim, N.S.: ' Voice activity detection based on a family of parametric distributions ', Pattern Recognit. Lett., 2007, 28, p. 1295-1299 0167-8655