Deep neural networks for extracting baum-welch statistics for speaker recognition

Odyssey 2014: Speaker and Language Recognition Workshop

Volumn , Issue , 2014, Pages 293-298

  Kenny, P ^a   Gupta, V ^a   Stafylakis, T ^a   Ouellet, P ^a   Alam, J ^a  

^a Cent de Recherche Informatique de Montreal   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SPEECH RECOGNITION; VECTORS;

BAUM-WELCH; EM ALGORITHMS; FIRST ORDER; SHORT TERM; SPEAKER RECOGNITION; SPECTRAL REPRESENTATIONS; TEXT INDEPENDENTS; UNIVERSAL BACKGROUND MODEL;

DEEP NEURAL NETWORKS;

EID: 84946057382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. T. Kinnunen and H. Li, An overview of text-independent speaker recognition: From features to supervectors, Speech Communication, vol. 52, no. 1, pp. 12-40, 2010.
2. M. Diez, L J Rodriguez-Fuentes, M. Penagarikano, A. Varona, G. Bordel, Using Phone Log-Likelihood Ratios as Features for Speaker Recognition, in Proceedings of Interspeech 2013, Lyon, France, 2013.
3. G. Hinton, L. Deng, D. Yu, G. Dahl, A. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. Sainath, and B. Kingsbury, Deep Neural Networks for acoustic modeling in speech recognition, IEEE Signal Processing Magazine, vol. 28, no. 6, pp. 82-97, 2012.
4. L. Deng, G. Hinton, B. Kingsbury, New types of Deep Neural Network Learning for speech recognition and related applications: An overview, in Proceedings ICASSP 2013, pp. 8599-8603, 2013.
5. K. Vesely, A. Ghoshal, L. Burget and D. Povey, Sequencediscriminative training of deep neural networks, in proceedings of Interspeech 2013.
6. V. Vasilakakis, S. Cumani and P. Laface, Speaker recognition by means of Deep Belief Networks, Biometric Technologies in Forensic Science, Nijmegen, 14-15 October 2013.
7. T. Stafylakis, P. Kenny, M. Senoussaoui and P. Dumouchel, Preliminary investigation of Boltzmann machine classifiers for speaker recognition, in Proceedings of Odyssey Speaker and Language Recognition Workshop, 2012.
8. V. Gupta, P. Kenny, P. Ouellet and T, Stafylakis, I-vector based speaker adaptation of Deep Neural Networks for french broadcast audio transcription, (to appear) in proceedings of ICASSP 2014.
9. Y.-W. Teh, M. Welling, S. Osindero and G. Hinton, Energybased models for sparse overcomplete representations, The Journal of Machine Learning Research, vol. 4, pp. 1235-1260, 2003.
10. M. J. F. Gales, Semi-tied covariance matrices for hidden Markov models, IEEE Trans. on Audio Speech and Language Processing, vol. 7, no. 3, pp. 272-281, May 1999.
11. P. Kenny, G. Bouliane, P. Ouellet, and P. Dumouchel, Joint Factor Analysis versus Eigenchannels in Speaker Recognition, IEEE Trans. on Audio Speech and Language Processing, vol. 15, no. 4, pp. 1435-1447, May 2007.
12. P. Kenny, G. Bouliane, P. Ouellet, and P. Dumouchel, Speaker and session variability in GMM-based speaker verification, IEEE Trans. on Audio Speech and Language Processing, vol. 15, no. 4, pp. 1448-1460, May 2007.
13. P. Kenny, P. Ouellet, N. Dehak, V. Gupta, and P. Dumouchel, A Study of Inter-Speaker Variability in Speaker Verification, IEEE Trans. on Audio Speech and Language Processing, vol. 16, no. 5, pp. 980-988, July 2008.
14. N. Dehak, P. Kenny, R. Dehak, P. Dumouchel, and P. Ouellet, Front-End Factor Analysis For Speaker Verification, IEEE Trans. on Audio Speech and Language Processing, vol. 19, no. 4, pp. 788-798, May 2011.
15. L. Ferrer, Y. Lei, M. McLaren, N. Scheffer, Martin Graciarena, and Vikramjit Mitra, SRI 2012 NIST Speaker Recognition Evaluation System Description, 2012.
16. Daniel Garcia-Romero and Carol Y. Espy-Wilson, Analysis of i-vector Length Normalization in Speaker Recognition Systems, in proceedings of Interspeech 2011.
17. N. Brummer and E. de Villiers, The BOSARIS Toolkit User Guide: Theory, Algorithms and Code for Binary Classifier Score Processing, Tech. Rep., 2011. [Online]. Available: https://sites.google.com/site/nikobrummer
18. Y. Lei, N. Scheffer, L. Ferrer and M. McLaren, A novel scheme for speaker recognition using a phoneticallyaware Deep Neural Network, (to appear) in proceedings of ICASSP 2014.