Speaker identification using autoregressive hidden markov models and adaptive vector quantisation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1902, Issue , 2000, Pages 207-210

  Bovbel, Eugeny E ^a   Kheidorov, Igor E ^a   Kotlyar, Michael E ^a  

^a BELARUSIAN STATE UNIVERSITY   (Belarus)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; LOUDSPEAKERS; SPECTRUM ANALYSIS;

AUTO-REGRESSIVE; HIGH-ACCURACY; PARAMETERS ESTIMATION; SELF-ORGANISING NEURAL NETWORKS; SPEAKER IDENTIFICATION; SPEAKER IDENTIFICATION SYSTEMS; VECTOR QUANTISATION;

SPEECH RECOGNITION;

EID: 84856517178     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45323-7_35     Document Type: Conference Paper

References (6)

1. D. A. Reynolds, Speaker identification and verification using Gaussian mixture speaker models, Speech Communication, 17(1–2), pp. 91–108, 1995.
2. H. A. Bourlard and N. Morgan Connectionist Speech recognition: A Hybrid Approach. Kluwer Academic Publishers, Boston M. A., 1994.
3. B. H. Juang, L. R. Rabiner, Mixture autoregressive hidden Markov models for speech signals, IEEE Trans. ASSP-33, pp. 1404–1412, 1985.
4. E. I. Bovbel, I. E. Kheidorov, P. P. Tkachova, The analysis of speaker individual features based on autoregressive hidden Markov models, Proc. of EUROSPEECH’99, vol. 3, pp. 1191–1194, September 5–9, 1999, Budapest, Hungary.
5. T. Kohonen, The self-organizing map, Proceedings of IEEE, vol. 78, 1990. pp. 1464–1480.
6. Youji Iiguni, A real-time learning algorithm for a multilayered neural network based on the extended Kalman filter, IEEE Transactions on Signal Processing, vol. 40, April 1992, pp. 959–966.