Noise-robust speaker recognition using subband likelihoods and reliable-feature selection

ETRI Journal

Volumn 30, Issue 1, 2008, Pages 89-100

  Sungtak, Kim ^a   Mikyong, Ji ^a   Hoirin, Kim ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Adaptive noise model; Feature recombination; Gaussian mixture model; Mel frequency cepstral coefficient; Reliable feature selection; Speaker recognition; Subband likelihood; Universal background model

Indexed keywords

ACOUSTIC NOISE; FEATURE EXTRACTION; MATHEMATICAL MODELS; RELIABILITY THEORY; ROBUST CONTROL;

ADAPTIVE NOISE MODELS; FEATURE RECOMBINATION; GAUSSIAN MIXTURE MODELS; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; RELIABLE FEATURE SELECTION; SPEAKER RECOGNITION; SUBBAND LIKELIHOOD; UNIVERSAL BACKGROUND MODELS;

SPEECH RECOGNITION;

EID: 39449083216     PISSN: 12256463     EISSN: None     Source Type: Journal    
DOI: 10.4218/etrij.08.0107.0108     Document Type: Article

References (15)

1. D. Reynold and R.C. Rose, "Robust Text Independent Speaker Identification Using Gaussian Mixture Speaker Models," Proc. IEEE Tran. Speech and Audio Processing, vol. 3, Jan. 1995, pp. 72-83.
2. D. Reynolds, T. Quatieri, and R. Dunn, "Speaker Verification Using Adapted Gaussian Mixture Models," Digital Signal Processing, vol. 10, 2000, pp. 19-41.
3. A. Drygajlo and M. El-Maliki, "Speaker Verification in Noisy Environments with Combined Spectral Subtraction and Missing Feature Theory," Proc. ICASSP,vol 2, 1998, pp. 121-124.
4. C. Barras and J. Gauvain, "Feature and Score Normalization for Speaker Verification of Cellular Data," Proc. ICASSP, 2003, pp. 49-52.
5. K. Yiu, M. Mak, and S. Rung, "Environment Adaptation for Robust Speaker Verification," Proc. EUROSPEECH, 2003, pp. 2973-2976.
6. H.J. Qing, Z. Lei, and W. Chengfa, "An Environment Adaptation Method for Robust Speech Recognition," Proc. ICSP, 2000, pp. 726-729.
7. D. Ramos-Castro, J. Fierrez-Aquilar, J. Gonzalez-Rodriquez, and J. Ortega-Garcia, "Speaker Verification Using Speaker- and TestDependent Fast Score Normalization," Pattern Recognition Letters, vol. 28, 2007, pp. 90-98.
8. R Auckenthaler, M. Carey, and H. Lloyd-Thomas, "Score Normalization for Text-Independent Speaker Verification Systems," Digital Signal Processing, vol. 10, 2000, pp. 42-54.
9. S. Okawa, E. Bocchieri, and A. Potamianos, "Multiband Speech Recognition in Noise Environments," Proc. ICASSP, 1998, pp. 641-644.
10. H. Hermansky, S. Tibrewala, and M. Pavel, "Toward ASR on Partially Corrupted Speech," Proc. ICSLP, 1996.
11. S. Tibrewala and H. Hermansky, "Subband Based Recognition of Noisy Speech," Proc. ICASSP, 1997, pp. 1255-1258.
12. W. Chen, C. Hsieh, and E. Lai, "Multiband Approach to Robust Text-Independent Speaker Identification," Computational Linguistics and Chinese Language Processing, vol. 9, no. 2, 2004, pp. 63-76.
13. B. Mak, "A Mathematical Relationship Between Full-Band and Multiband Mel-Frequency Cepstral Coefficients," IEEE Signal Processing Letters, vol. 9, no. 8, 2002, pp. 241-244.
14. D. Reynold, "Large Population Speaker Identification Using Clean and Telephone Speech," IEEE Signal Processing Letters, vol. 2, no. 3, 1995, pp. 46-48.
15. D. Pearce and H. Hirsch, "The Aurora Experimental Framework for the Performance Evaluation of Speech Recognition Systems under Noise Conditions," Proc. ICSLP, vol. 4, 2000, pp. 29-32.