A decision-tree-based algorithm for speech/music classification and segmentation

Eurasip Journal on Audio, Speech, and Music Processing

Volumn 2009, Issue , 2009, Pages

  Lavner, Yizhar ^a   Ruinskiy, Dima ^a,b  

^a TEL HAI COLLEGE   (Israel)

^b INTEL CORPORATION   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 68249162326     PISSN: 16874714     EISSN: 16874722     Source Type: Journal    
DOI: 10.1155/2009/239892     Document Type: Article

References (25)

1. Burred J. J., Lerch A., Hierarchical automatic audio signal classification Journal of the Audio Engineering Society 2004 52 7-8 724 739
2. Bugatti A., Flammini A., Migliorati P., Audio classification in speech and music: a comparison between a statistical and a neural approach EURASIP Journal on Applied Signal Processing 2002 2002 4 372 378
3. Muoz-Expsito J. E., Galn S. G., Reyes N. R., Candeas P. V., Pea F. R., A fuzzy rules-based speech/music discrimination approach for intelligent audio coding over the Internet Proceedings of the 120th Audio Engineering Society Convention (AES 06) May 2006 Paris, France. paper number 6676
4. Saunders J., Real-time discrimination of broadcast speech/music 2 Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 96) May 1996 Atlanta, Ga, USA 993 996
5. Liu Z., Huang J., Wang Y., Chen I. T., Audio feature extraction and analysis for scene classification Proceedings of the 1st IEEE Workshop on Multimedia Signal Processing (MMSP 97) June 1997 Princeton, NJ, USA 343 348
6. Scheirer E., Slaney M., Construction and evaluation of a robust multifeature speech/music discriminator 2 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 97) April 1997 Munich, Germany 1331 1334
7. Ajmera J., McCowan I. A., Bourlard H., Robust HMM-based speech/music segmentation 1 Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 03) May 2002 Orlando, Fla, USA 297 300
8. Carey M. J., Parris E. S., Lloyd-Thomas H., A comparison of features for speech, music discrimination 1 Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 99) March 1999 Phoenix, Ariz, USA 149 152
9. Lu L., Zhang H.-J., Jiang H., Content analysis for audio classification and segmentation IEEE Transactions on Speech and Audio Processing 2002 10 7 504 516
10. Foote J. T., A similarity measure for automatic audio classification Proceedings of the AAAI Spring Symposium on Intelligent Integration and Use of Text, Image, Video, and Audio Corpora March 1997 Stanford, Calif, USA
11. Zhang T., Kuo C.-C. J., Hierarchical classification of audio data for archiving and retrieving 6 Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 99) March 1999 Phoenix, Ariz, USA 3001 3004
12. Williams G., Ellis D. P. W., Speech/music discrimination based on posterior probability features Proceedings of the 6th European Conference on Speech Communication and Technology (EUROSPEECH 99) September 1999 Budapest, Hungary 687 690
13. El-Maleh K., Klein M., Petrucci G., Kabal P., Speech/music discrimination for multimedia applications 6 Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 00) June 2000 Istanbul, Turkey 2445 2448
14. Ajmera J., McCowan I., Bourlard H., Speech/music segmentation using entropy and dynamism features in a HMM classification framework Speech Communication 2003 40 3 351 363
15. Barbedo J. G. A., Lopes A., A robust and computationally efficient speech/music discriminator Journal of the Audio Engineering Society 2006 54 7-8 571 588
16. Alexandre E., Rosa M., Caudra L., Gil-Pita R., Application of Fisher linear discriminant analysis to speech/music classification Proceedings of the 120th Audio Engineering Society Convention (AES 06) May 2006 Paris, France. paper number 6678
17. Davis S. B., Mermelstein P., Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences IEEE Transactions on Acoustics, Speech, and Signal Processing 1980 28 4 357 366
18. Quatieri T. F., Discrete-Time Speech Signal Processing 2001 Englewood Cliffs, NJ, USA Prentice-Hall
19. Stevens S. S., Volkman J., The relation of pitch to frequency: a revised scale American Journal of Psychology 1940 53 3 329 353
20. Theodoridis S., Koutroumbas K., Pattern Recognition 2003 4th New York, NY, USA Academic Press
21. Pudil P., Novovicova J., Kittler J., Floating search methods in feature selection Pattern Recognition Letters 1994 15 11 1119 1125
22. Cristianini N., Shawe-Taylor J., An Introduction to Support Vector Machines and other Kernel-Based Learning Methods 2000 Cambridge, UK Cambridge University Press
23. Burges C. J. C., Simplified support vector decision rules Proceedings of the 13th International Conference on Machine Learning (ICML 96) July 1996 Bari, Italy 71 77
24. Staelin C., Parameter selection for support vector machines 2003 Tech. Rep. HPL-2002-354, HP Laboratories Israel Haifa Israel
25. Hsu C. W., Chang C. C., Lin C. J., A practical guide to support vector classification 2003 Tech. Rep., National Taiwan University, Taipei, Taiwan, 2003.