Particle swarm optimization for sorted adapted gaussian mixture models

IEEE Transactions on Audio, Speech and Language Processing

Volumn 17, Issue 2, 2009, Pages 344-353

  Saeidi, Rahim ^a   Mohammadi, Hamid Reza Sadegh ^a   Ganchev, Todor ^b   Rodman, Robert David ^c  

^a AVICENNA RESEARCH INSTITUTE   (Iran)

^b UNIVERSITY OF PATRAS   (Greece)

^c Electrical and Computer Engineering Department   (United States)

Author keywords

Gaussian mixture model universal background model (GMM UBM); Particle swarm optimization (PSO); Sorted GMM; Speed up; Text independent speaker verification

Indexed keywords

APPROPRIATE FITNESS FUNCTION; CLASSIFICATION SCHEME; EXPERIMENTAL PROTOCOLS; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURE MODEL-UNIVERSAL BACKGROUND MODEL (GMM-UBM); GAUSSIAN MIXTURE MODEL-UNIVERSAL BACKGROUND MODELS; PERFORMANCE LOSS; SORTED GMM; SPEAKER RECOGNITION; SPEED-UP; SPEED-UPS; TEXT-INDEPENDENT SPEAKER VERIFICATION;

BLIND SOURCE SEPARATION; CHARACTER RECOGNITION; COMMUNICATION CHANNELS (INFORMATION THEORY); FUNCTION EVALUATION; MAGNETOSTRICTIVE DEVICES; MIXTURES; MODELS; OBJECT RECOGNITION; OPTICAL COMMUNICATION; SCREENING; SPEECH RECOGNITION; SPEED;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70350101560     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2008.2010278     Document Type: Article

References (25)

1. D. A. Reynolds and R. C. Rose, "Robust text-independent speaker identification using Gaussian mixture speaker models, " IEEE Trans. Speech Audio Process., vol. 3, no. 1, pp. 72-83, Jan. 1995.
2. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models, " Digital Signal Process., vol. 10, no. 1-3, pp. 19-41, Jan. 2000.
3. A. Chan, R. Mosur, A. Rudnicky, and J. Sherwani, "Four-layer categorization scheme of fast GMM computation techniques in large vocabulary continuous speech recognition systems, " in Proc. Interspeech'04, 2004, pp. 689-692.
4. H. R. S. Mohammadi and R. Saeidi, "Efficient implementation of GMM based speaker verification using sorted Gaussian mixture model, " in Proc. EUSIPCO'06, Florence, Italy, Sep. 4-8, 2006, CD-ROM.
5. R. Saeidi, H. R. S. Mohammadi, R. D. Rodman, and T. Kinnunen, "A new segmentation algorithm combined with transient frames power for text independent speaker verification, " in Proc. ICASSP'07, Apr. 2007, vol. 1, pp. 305-308.
6. H. R. S. Mohammadi, R. Saeidi, M. R. Rohani, and R. D. Rodman, "Combined inter-frame and intra-frame fast scoring methods for efficient implementation of GMM-based speaker verification systems, " in Proc. ICASSP'07, Apr. 2007, pp. 309-312.
7. R. Auckenthaler and J. Mason, "Gaussian selection applied to text-independent speaker verification, " in Proc. "A Speaker Odyssey, " Speaker Recognition Workshop, 2001, pp. 83-86.
8. M. Roch, "Gaussian-selection-based non-optimal search for speaker identification, " Speech Commun., vol. 48, pp. 85-95, 2006.
9. B. Xiang and T. Berger, "Efficient text-independent speaker verification with structural Gaussian mixture models and neural networks, " IEEE Trans. Speech Audio Process., vol. 11, no. 5, pp. 447-456, Sep. 2003.
10. Z. Xiong, T. F. Zheng, Z. Song, F. Soong, and W. Wu, "A tree-based kernel selection approach to efficient Gaussian mixture model-universal background model based speaker identification, " Speech Commun., vol. 48, pp. 1273-1282, 2006.
11. B. L. Pellom and J. H. L. Hansen, "An efficient scoring algorithm for Gaussian mixture model based speaker identification, " IEEE Signal Process. Lett., vol. 5, no. 11, pp. 281-284, Nov. 1998.
12. T. Kinnunen, E. Karpov, and P. Fränti, "Real-time speaker identification and verification, " IEEE Trans. Audio, Speech, Lang. Process., vol. 14, no. 1, pp. 277-288, Jan. 2006.
13. H. Aronowitz and D. Burshtein, "Efficient speaker recognition using approximated cross entropy (ACE), " IEEE Trans. Audio, Speech and Language Processing, Special Issue on Speaker and Language Recognition, vol. 15, no. 7, pp. 2033-2043, 2007.
14. R. Huang and J. H. L. Hansen, "Unsupervised discriminative training with application to dialect classification, " IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 8, pp. 2444-2453, Nov. 2007.
15. J. Kennedy and R. C. Eberhart, "Particle swarm optimization, " in Proc. IEEE Int. Conf. Neural Netw., 1995, vol. IV, pp. 1942-1948.
16. M. Clerc, "The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization, " in Proc. IEEE Congr. Evol. Comput., 1999, vol. 3, pp. 1951-1957.
17. P. Rose, Forensic Speaker Identification, ser. Forensic Science Series. New York: Taylor & Francis, 2002.
18. J.-L. Gauvain and C.-H. Lee, "Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains, " IEEE Trans. Speech Audio Process., vol. 2, no. 2, pp. 291-298, Apr. 1994.
19. A. Abraham, H. Guo, and H. Liu, "Swarm intelligence: Foundations, perspectives and applications, swarm intelligent systems, " in Studies in Computational Intelligence. Berlin, Germany: Springer Verlag, 2006, pp. 3-25.
20. H. R. S. Mohammadi and W. H. Holmes, "Low cost vector quantization methods for spectral coding in low rate speech coder, " in Proc. ICASSP'95, Detroit, MI, 1995, vol. 1, pp. 720-723.
21. "The NIST Year 2002 Speaker Recognition Evaluation." [Online]. Available: http://www.nist.gov/speech/tests/.
22. R. Auckenthaler, M. Carey, and H. Lloyd-Thomas, "Score normalization for text-independent speaker verification systems, " Digital Signal Process., vol. 10, pp. 42-54, 2000.
23. L. Burget, P. Matejka, P. Schwarz, O. Glembek, and J. Cernocky, "Analysis of feature extraction and channel compensation in a GMM speaker recognition system, " Trans. Audio, Speech, Lang. Process., vol. 15, no. 7, pp. 1987-1998, Sep. 2007.
24. D. Garcia-Romero and C. Y. Espy-Wilson, "Intersession variability in speaker recognition: A behind the scene analysis, " in Proc. Interspeech' 08, Melbourne, Australia, 2008, pp. 1413-1416.
25. C. Barras and J.-L. Gauvain, "Feature and score normalization for speaker verification of cellular data, " in Proc. ICASSP, May 2003, vol. 2, pp. 49-52.