Speaker recognition using gaussian mixture models

Elektronika ir Elektrotechnika

Volumn , Issue 5, 2008, Pages 29-32

  Kamarauskas, J ^a  

^a VILNIUS UNIVERSITY   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77949847211     PISSN: 13921215     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Picone J. Signal Modeling Techniques in Speech Recognition//Proceedings of the IEEE. - 1993.
2. Rabiner L. and Juang B.H. An introduction to hidden Markov models//IEEE ASSP Mag. - 1986. - P. 4-16.
3. Juang B.H., Wang D. Y. and Gray A. H. Distortion Performance of Vector Quantization for LPC Voice Coding.//IEEE Tranc. on Acoustic Speech and Signal Processing. - 1982. - Vol. ASSP-30, No. 2. P. 294-304.
4. Navakauskas D. Skaitmeninio signalu apdorojimo priemones. Dirbtiniu neuronu tinklai. - Vilnius: Technika, 2000.
5. Vapnik V. N. Statistical Learning Theory. - New York: Wiley, 1998.
6. Reynolds D. A. and Rose R. C. Robust Text-Independent Speaker Identification Using Gaussian Mixture Speaker Models//IEEE Transactions on Speech and Audio Processing. - January 1995. - Vol. 3, No. 1. - P. 72-83.
7. Furui S. Digital Speech Processing, Synthesis and Recognition. - New York: Marcel Dekker, 2001.
8. Deller J. R., Hansen J. H. L., Proakis J. G. Discrete-Time Processing of Speech Signals. - Piscataway (N.J.): IEEE Press, 2000.
9. Rabiner L. and Juang B. H. Fundamentals of Speech Recognition. - Prentice-Hall, Englewood Cliffs, New Jersey, USA. - 1993.
10. Kabal P. and Ramachandran R. P. The Computation of Line Spectral Frequencies Using Chebyshev Polynomials.//IEEE Transactions on Acoustic, Speech, and Signal Processing. - December 1986. - Vol. ASSP-34, No. 6. - P. 1419-1426.
11. McLachlan G. Mixture Models. - New York: Marcel Dekker, 1988.
12. Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm//J. Royal Srar. Soc. - 1977. - Vol. 39. - P. 1-38.