Speaker states recognition using latent factor analysis based Eigenchannel factor vector modeling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2012, Pages 1937-1940

  Li, Ming ^a   Metallinou, Angeliki ^a   Bone, Daniel ^a   Narayanan, Shrikanth ^a  

^a University of Southern California   (United States)

Author keywords

Emotion recognition; Latent factor analysis; Speaker state recognition; Supervector modeling

Indexed keywords

ACCURACY IMPROVEMENT; AFFECTIVE SPEECH; BASE-LINE PERFORMANCE; CHANNEL EFFECT; DIRECTLY MODEL; EIGENCHANNELS; EMOTION RECOGNITION; GAUSSIAN MIXTURE MODEL; MODELING FRAMEWORKS; SPEAKER VERIFICATION; SPEECH DETECTION; SPEECH SIGNALS; STATE RECOGNITION; SUPERVECTOR; SUPPORT VECTOR MACHINE CLASSIFICATION; VECTOR-MODELING;

CLASSIFICATION (OF INFORMATION); SIGNAL PROCESSING; STATE ESTIMATION; VECTORS;

SPEECH RECOGNITION;

EID: 84864616142     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288284     Document Type: Conference Paper

References (18)

1. B. Schuller, S. Steidl, and A. Batliner, "The interspeech 2009 emotion challenge," in Proc. of the Interspeech, 2009, pp. 312-315.
2. B. Schuller, S. Steidl, A. Batliner, F. Burkhardt, L. Devillers, C.Müller, and S.S. Narayanan, "The interspeech 2010 paralinguistic challenge," in Proc. of the Interspeech, 2010, pp. 2794-2797.
3. B. Schuller, S. Steidl, A. Batliner, F. Schiel, and J. Krajewski, "The interspeech 2011 speaker state challenge," in Proc. of the Interspeech, pp. 3201-3204.
4. F. Metze, J. Ajmera, R. Englert, U. Bub, F. Burkhardt, J. Stegmann, C. Muller, R. Huber, B. Andrassy, J.G. Bauer, et al., "Comparison of four approaches to age and gender recognition for telephone applications," in Proc. of the ICASSP, 2007, vol. 4, pp. 1089-1092.
5. M. Li, C.S. Jung, and K.J. Han, "Combining five acoustic level modeling methods for automatic speaker age and gender recognition," in Proc. of the Interspeech, 2010, pp. 2826-2829.
6. M. Li, K. Han, and S. Narayanan, "Automatic speaker age and gender recognition using acoustic and prosodic level information fusion," submitted to Computer speech and language.
7. M. Kockmann, L. Burget, and J. Černockỳ, "Brno university of technology system for interspeech 2010 paralinguistic challenge," in Proc. of the Interspeech, 2010, pp. 2822-2825.
8. L. Burget, P. Matejka, P. Schwarz, O. Glembek, and J. Cernocky, "Analysis of feature extraction and channel compensation in a gmm speaker recognition system," IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 7, pp. 1979-1986, 2007.
9. F. Castaldo, D. Colibro, E. Dalmasso, P. Laface, and C. Vair, "Compensation of nuisance factors for speaker and language recognition," IEEE Transactions on Audio, Speech, and Language Processing, vol. 15, no. 7, pp. 1969-1978, 2007.
10. D.A. Reynolds, T.F. Quatieri, and R.B. Dunn, "Speaker verification using adapted Gaussian mixture models," Digital signal processing, vol. 10, no. 1-3, pp. 19-41, 2000.
11. W.M. Campbell, D.E. Sturim, and D.A. Reynolds, "Support vector machines using GMM supervectors for speaker verification," IEEE Signal Processing Letters, vol. 13, no. 5, pp. 308-311, 2006.
12. C.C. Chang and C.J. Lin, "Libsvm: a library for support vector machines," 2001.
13. Daniel Bone, Matthew P. Black, Ming Li, Angeliki Metallinou, Sungbok Lee, and Shrikanth Narayanan, "Intoxicated speech detection by fusion of speaker normalized hierarchical features and gmm supervectors," in Proc. of the Interspeech, Aug. 2011, pp. 3217-3220.
14. C. Busso, M. Bulut, C.C. Lee, A. Kazemzadeh, E. Mower, S. Kim, J.N. Chang, S. Lee, and S.S. Narayanan, "Iemocap: Interactive emotional dyadic motion capture database," Language resources and evaluation, vol. 42, pp. 335-359, 2008.
15. P. Kenny, D. Reynolds, and F. Castaldo, "Diarization of telephone conversations using factor analysis," IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 6, pp. 1059-1070, 2010.
16. R. Cowie, E. Douglas-Cowie, B. Apolloni, J. Taylor, A. Romano, and W. Fellenz, "What a neural net needs to know about emotion words," Computational intelligence and applications, pp. 109-114, 1999.
17. N. Dehak, P.J. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, "Front-end factor analysis for speaker verification," Audio, Speech, and Language Processing, IEEE Transactions on, vol. 19, no. 4, pp. 788-798, 2011.
18. M. Li, C. Lu, A. Wang, and S. Narayanan, "Speaker verification using lasso based sparse total variability supervector and probabilistic linear discriminant analysis," in Proc. of the NIST speaker verification workshop, 2011.