Multi-task learning for text-dependent speaker verification

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn 2015-January, Issue , 2015, Pages 185-189

  Chen, Nanxin ^a   Qian, Yanmin ^a   Yu, Kai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Deep learning; Deep neural network; Discriminant analysis; Multi task learning; Probabilistic linear discriminant analysis; Speaker verification

Indexed keywords

CHARACTER RECOGNITION; DISCRIMINANT ANALYSIS; LEARNING SYSTEMS; SPEECH COMMUNICATION; VECTORS;

DEEP LEARNING; DEEP NEURAL NETWORKS; MULTITASK LEARNING; PROBABILISTIC LINEAR DISCRIMINANT ANALYSIS; SPEAKER VERIFICATION;

SPEECH RECOGNITION;

EID: 84959157262     PISSN: 2308457X     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. A. Larcher, K.-A. Lee, B. Ma, and H. Li, "Rsr2015: Database fortext-dependent speaker verification using multiple pass-phrases. "in Proc. InterSpeech, 2012.
2. H. Aronowitz, "Text dependent speaker verification using a smalldevelopment set, " in Odyssey 2012-The Speaker and LanguageRecognition Workshop, 2012.
3. A. Larcher, P. Bousquet, K. A. Lee, D. Matrouf, H. Li, and J.-F. Bonastre, "I-vectors in the context of phonetically-constrainedshort utterances for speaker verification, " in Proc. ICASSP. IEEE, 2012, pp. 4773-4776.
4. G. Hinton, L. Deng, D. Yu, G. E. Dahl, A.-r. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. N. Sainath, and K. Brian, "Deep neural networks for acoustic modeling in speech recogni-tion: The shared views of four research groups, " Signal Process-ing Magazine, IEEE, vol. 29, no. 6, pp. 82-97, 2012.
5. H. Ze, A. Senior, and M. Schuster, "Statistical parametric speechsynthesis using deep neural networks, " in Proc. ICASSP. IEEE, 2013, pp. 7962-7966.
6. Y. Fan, Y. Qian, F. Xie, and F. K. Soong, "Tts synthesis with bidi-rectional lstm based recurrent neural networks, " in Proc. Inter-Speech, 2014.
7. X. Lu, Y. Tsao, S. Matsuda, and C. Hori, "Speech enhance-ment based on deep denoising autoencoder. " in Proc. InterSpeech, 2013, pp. 436-440.
8. Y. Xu, J. Du, L.-R. Dai, and C.-H. Lee, "An experimental studyon speech enhancement based on deep neural networks, " SignalProcessing Letters, IEEE, vol. 21, no. 1, pp. 65-68, 2014.
9. A. Sankar and R. J. Mammone, "Speaker independent vowelrecognition using neural tree networks, " in Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on, vol. 2. IEEE, 1991, pp. 809-814.
10. M. G. Rahim, "A neural tree network for phoneme classificationwith experiments on the timit database, " in Proc. ICASSP, vol. 2. IEEE, 1992, pp. 345-348.
11. H.-S. Liou and R. J. Mammone, "A subword neural tree net-work approach to text-dependent speaker verification, " in Proc. ICASSP, vol. 1. IEEE, 1995, pp. 357-360.
12. K. Farrell, S. Kosonocky, and R. Mammone, "Neural tree net-work/vector quantization probability estimators for speaker recog-nition, " in Neural Networks for Signal Processing [1994] IV. Pro-ceedings of the 1994 IEEE Workshop. IEEE, 1994, pp. 279-288.
13. S. Kishore and S. B Gangashetty, "Online text-independentspeaker verification system using autoassociative neural networkmodels, " Neural Networks, 2001.
14. G. S. Sivaram, S. Thomas, and H. Hermansky, "Mixture of auto-associative neural networks for speaker verification. " in Proc. In-terSpeech, 2011, pp. 2381-2384.
15. Y. Konig, L. Heck, M. Weintraub, and K. Sonmez, "Nonlinear dis-criminant feature extraction for robust text-independent speakerrecognition, " in Proc. RLA2C, ESCA workshop on Speaker Recog-nition and its Commercial and Forensic Applications, 1998, pp. 72-75.
16. T. Fu, Y. Qian, Y. Liu, and K. Yu, "Tand em deep features for text-dependent speaker verification, " in Proc. InterSpeech, 2014.
17. E. Variani, X. Lei, E. McDermott, I. L. Moreno, and J. Gonzalez-Dominguez, "Deep neural networks for small footprint text-dependent speaker verification, " in Proc. ICASSP. IEEE, 2014, pp. 4052-4056.
18. N. Dehak, P. Kenny, R. Dehak, P. Dumouchel, and P. Ouel-let, "Front-end factor analysis for speaker verification, " Audio, Speech, and Language Processing, IEEE Transactions on, vol. 19, no. 4, pp. 788-798, 2011.
19. N. Scheffer and Y. Lei, "Content matching for short durationspeaker recognition, " in Proc. InterSpeech, 2014.
20. Y. Lei, N. Scheffer, L. Ferrer, and M. McLaren, "A novel schemefor speaker recognition using a phonetically-aware deep neuralnetwork, " in Proc. ICASSP. IEEE, 2014, pp. 1695-1699.
21. L. Yuan, F. Tianfan, F. Yuchen, Q. Yanmin, and Y. Kai, "Speakerverification with deep features, " in IEEE WCCI 2014 Final Pro-gram and Book of Abstracts, Beijing, China, July 2014.
22. B. Scholkopft and K.-R. Mullert, "Fisher discriminant analysiswith kernels, " Neural networks for signal processing IX, 1999.
23. M. McLaren and D. Van Leeuwen, "Source-normalised-and-weighted lda for robust speaker recognition using i-vectors, " inProc. ICASSP. IEEE, 2011, pp. 5456-5459.
24. P. Matejka, O. Glembek, F. Castaldo, M. J. Alam, O. Plchot, P. Kenny, L. Burget, and J. Cernocky, "Full-covariance ubmand heavy-tailed plda in i-vector speaker verification, " in Proc. ICASSP. IEEE, 2011, pp. 4828-4831.
25. P. Kenny, T. Stafylakis, P. Ouellet, M. J. Alam, and P. Dumouchel, "Plda for speaker verification with utterances of arbitrary dura-tion, " in Proc. ICASSP. IEEE, 2013, pp. 7649-7653.
26. Q. Jin and A. Waibel, "Application of lda to speaker recognition. "in Proc. InterSpeech, 2000, pp. 250-253.
27. C. Barras and J.-L. Gauvain, "Feature and score normalizationfor speaker verification of cellular data, " in Proc. ICASSP, vol. 2. IEEE, 2003, pp. II-49.