Brno University of Technology system for Interspeech 2010 Paralinguistic Challenge

Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010

Volumn , Issue , 2010, Pages 2822-2825

  Kockmann, Marcel ^a   Burget, Lukáš ^a   Černocký, Jan Honza ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

Age and gender recognition; Eigenvoice; Fusion; GMM; MMI

Indexed keywords

FUSION REACTIONS; LINGUISTICS; LOGISTIC REGRESSION; SPEECH COMMUNICATION; SUPPORT VECTOR MACHINES;

AGE AND GENDER RECOGNITION; EIGENVOICES; FEATURE SETS; GAUSSIAN MIXTURE MODEL; PARALINGUISTIC; SUB-SYSTEMS; TECHNOLOGY SYSTEM; VOICE QUALITY FEATURES; ACOUSTIC QUALITY; FEATURES SETS; FRAME-BASED; MMI;

SUPPORT VECTOR REGRESSION; SUPPORT VECTOR MACHINES;

EID: 79959829347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. B. Schuller et al., "The INTERSPEECH 2010 Paralinguistic Challenge," Submitted to Interspeech (2010), ISCA, Makuhari, Japan, 2010.
2. V. Hubeika et al., "Maximum likelihood and maximum mutual information training in gender and age recognition system," 2007.
3. P. Kenny et al., "A study of inter-speaker variability in speaker verification," IEEE Trans. Audio, Jan 2008.
4. S. Davis and P. Mermelstein, "Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences," IEEE transactions on acoustics, speech, and signal processing, vol. 28, no. 4, pp. 357-366, Jul 1980. (Pubitemid 11464930)
5. H. Hermansky and N. Morgan, "RASTA processing of speech," IEEE transactions on speech and audio processing, vol. 2, no. 4, pp. 578-589, 1994.
6. P. Schwarz, P. Matejka, and J. Cernocky, "Hierarchical structures of neural networks for phoneme recognition," Proceedings of ICASSP 2006, Toulouse, pp. 325-328, Mar 2006.
7. D. Reynolds, T. Quatieri, and R. Dunn, "Speaker verification using adapted Gaussian mixture models," Digital Signal Processing, vol. 10, no. 1-3, pp. 19-41, 2000. (Pubitemid 30592166)
8. O. Glembek et al., "Comparison of scoring methods used in speaker recognition with Joint Factor Analysis," Proc. of ICASSP, Taipei, 2009.
9. N. Brummer, "Focal multi-class - tools for evaluation, calibration and fusion of, and decision-making with, multi-class statistical pattern recognition scores," Online on: http://sites.google.com/site/nikobrummer/ focalmulticlass, 2007.
10. M. Kockmann, L. Burget, and J. Cernocky, "Brno University of Technology system for Interspeech 2009 Emotion Challenge," Proc. Interspeech, Brighton, pp. 348-351, 2009.
11. P. Torres-Carrasquillo et al., "Approaches to language identification using Gaussian mixture models and shifted delta cepstral features," Seventh International Conference on Spoken Language Processing, 2002.
12. P. Matejka et al., "Brno University of Technology System for NIST 2005 language recognition evaluation," Proc. Odyssey, 2006.
13. D. Povey, "Discriminative training for large vocabulary speech recognition," PhD thesis, Cambridge University Engineering Dept, 2003, p. 172, Jun 2003.
14. L. Burget, P. Matejka, and J. Cernocky, "Discriminative training techniques for acoustic language identification," In: Proceedings of ICASSP 2006, Toulouse, FR, pp. 209-212, Apr 2006.
15. C. Chang and C. Lin, "Libsvm: a library for support vector machines, 2001," Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm, 2001.
16. H. Hermansky, "Perceptual linear predictive (PLP) analysis of speech," Journal of the Acoustical Society of America, vol. 87, no. 4, pp. 1738-1752, 1990. (Pubitemid 20256470)
17. A. Martin and M. Przybocki, "2004 NIST speaker recognition evaluation," Linguistic Data Consortium, LDC2006S44, Philadelphia, 2006.