Integration of complementary acoustic features for speaker recognition

IEEE Signal Processing Letters

Volumn 14, Issue 3, 2007, Pages 181-184

  Zheng, Nengheng ^a   Lee, Tan ^a   Ching, P C ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Confidence measure; Information fusion; LP residual signal; Speaker verification; Wavelet transform

Indexed keywords

ACOUSTIC PROPERTIES; INFORMATION FUSION; WAVELET TRANSFORMS;

CONFIDENCE MEASURE-BASED SCORE FUSION TECHNIQUE; MEL-FREQUENCY CEPSTRAL COEFFICIENTS (MFCC); SPEAKER VERIFICATION; WAVELET OCTAVE COEFFICIENTS OF RESIDUES (WOCOR);

SPEECH RECOGNITION;

EID: 33947583290     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2006.884031     Document Type: Article

References (16)

1. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals. Englewood Cliffs, NJ: Prentice-Hall, 1978.
2. S. Furui, "Cepstral analysis technique for automatic speaker verification," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-29, no. 2, pp. 254-272, Apr. 1981.
3. S. B. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences," IEEE Trans. Acoust., Speech, Signal Process., vol. ASSP-28, no. 4, pp. 357-366, Aug. 1980.
4. J. P. Campbell, "Speaker recognition: A tutorial," Proc. IEEE, vol. 85, no. 9, pp. 1437-1462, Sep. 1997.
5. M. K. Sonmez, L. Heck, M. Weintraub, and E. Shriberg, "A lognormal tied mixture model of pitch for prosody based speaker recognition," in Proc. Eurospeech, 1997, pp. 1391-1394.
6. B. Imperl, Z. Kacic, and B. Horvat, "A study of harmonic features for speaker recognition," Speech Commun., vol. 22, no. 4, pp. 385-402, 1997.
7. K. S. R. Murty and B. Yegnanarayana, "Combining evidence from residual phase and MFCC features for speaker recognition," IEEE Signal Process. Lett., vol. 13, no. 1, pp. 52-55, Jan. 2006.
8. D. M. Brooke and D. S. F. Chan, "Speaker characteristics from a glottal airflow model using robust inverse filtering," Proc. Inst. Acoust., vol. 16, no. 5, pp. 501-508, 1994.
9. M. D. Plumpe, T. F. Quatieri, and D. A. Reynolds, "Modeling of the glottal flow derivative waveform with application to speaker identification," IEEE Trans. Speech Audio Process., vol. 7, no. 5, pp. 569-585, Sep. 1999.
10. N. H. Zheng, P. C. Ching, and T. Lee, "Time frequency analysis of vocal source signal for speaker recognition," in Proc. Int. Conf. Spoken Language Processing, 2004, pp. 2333-2336.
11. D. Talkin, "A robust algorithm for pitch tracking (RAPT)," in Speech Coding and Synthesis, W. B. Kleijn and K. K. Paliwal, Eds. New York: Elsevier, 1995.
12. I. Daubechies, Ten Lectures on Wavelets. Philadelphia, PA: SIAM, 1992.
13. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted gaussian mixture models," Digit. Signal Process., vol. 10, no. 1-3, pp. 19-41, 2000.
14. A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki, "The DET curve in assessment of detection task performance," in Proc. Eurospeech, 1997, pp. 1895-1898.
15. The NIST 2001 Speaker ID Evaluation Protocol. [Online]. Available: http://www.nist.gov/speech/tests/spk/2001/index.htm.
16. B. S. Atal, "Efectiveness of linear prediction characteristics of the speech wave for automatic speaker identification and verification," J. Acoust. Soc. Amer., vol. 55, no. 6, pp. 1304-1312, 1974.