Robust analysis and weighting on MFCC components for speech recognition and speaker identification

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Volumn , Issue , 2007, Pages 188-191

  Zhou, Xi ^a   Fu, Yun ^a   Liu, Ming ^a   Hasegawa Johnson, Mark ^a   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LOUDSPEAKERS; SENSITIVITY ANALYSIS;

AUTOMATIC SPEECH RECOGNITION; KULLBACK-LEIBLER DISTANCE; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; RECORDING EQUIPMENT; SPEAKER IDENTIFICATION; STATISTICAL WEIGHTING; TRAINING AND TESTING; TRANSMISSION CHANNELS;

SPEECH RECOGNITION;

EID: 46449092074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icme.2007.4284618     Document Type: Conference Paper

References (12)

1. H. Hermansky, "Mel Cepstrum, Deltas, Double Deltas, What Else is New?" in Proc. Robust Methods for Speech Recognition in Adverse Condition, 1999. [2] D. Reynolds and R. Rose, "Robust Text-Independent Speaker Identification using Gaussian Mixture Speaker Models," IEEE Trans. Speech Audio Processing, vol. 3, no. 1,pp. 72-83, 1995.
2. J. de Veth, B. Cranen, L. Boves "Acouslic Features and Distance Measure to Reduce Vulnerability of ASR Performance due to the Presence of a Communication Channel and/or Background Noise," In: JLC. Junqua, G. van Noord (Eds.), Robustness in Language and Speech Terknologv. Kluwer Academic Publishers, Doordrccht, the Netherlands, pp. 9-45. 2001.
3. C. Yang, F.K. Soong and T. Lee "Static and Dynamic Spectral Features: Their Noise Robustness and Optimal Weights for ASR," IEEE conf. on ICASSP '05, vol.1, pp. 241-244, 2005.
4. K. K. Paliwal, "Spectral Subband Centroids as Features for Speech Recognition", IEEE conf. on ICASSP'98, vol. 2, pp. 617-620, 1998.
5. V. Krishnamurthy and J. Moore "On-line Estimation of Hidden Markov Hodel Parameters Based on the Kullback-Leibler Information Measure," IEEE Trans. on Signal Processing, vol. 41, no. 8, pp. 2557-2573, 1993.
6. S. Furui, "Speaker-Independent Isolated. Word Recognition using Dynamic Features of Speech Spectrum," IEEE Trans.on Acoust. Speech Signal Proc., vol.34, pp.52-59, 1986.
7. F. K. Soong and A. E. Rosenberg, "On the Use of Instantaneous and Transitional Spectral Information in Speaker Recognition," IEEE Trans. on Acoust. Speech Signal Proc., vol. 36, pp.871-879, 1988.
8. S. Young, J. Jansen, J. Odell, D. Ollason, and P. Woodland, The HTK Book, Cambridge Univ., 1996.
9. D. A. Reynolds , T. F. Quatieri, and R. B. Dunn, "Speaker Verification using Adapted Gaussian Mixture Models," Digital Signal Processing, vol. 10, pp. 19-41, 2000.
10. TIMIT, http://www.mpi.nl/world/tg/corpora/timit/timit.html
11. R. G. Leonard, "A Database for Speaker-Independent Digit Recognition", IEEE conf. on ICASSP '84, vol. 3, p. 42.11, 1984.
12. W. Fisher, V. Zue, J. Bernstein, and D. Pallet. "An Acoustic-Phonetic Data Base". J. Acoust. Soc. Amer. Suppl. (A), 81,S92,1986.