Speaker verification with deep features

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2014, Pages 747-753

  Liu, Yuan ^a   Fu, Tianfan ^a   Fan, Yuchen ^a   Qian, Yanmin ^a   Yu, Kai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DEEP LEARNING; DEEP NEURAL NETWORKS; MULTILAYER NEURAL NETWORKS;

ACOUSTIC FEATURES; CLASSIFICATION APPROACH; DEEP BELIEF NETWORKS; FEATURE ENGINEERINGS; LEARNING FRAMEWORKS; SPEAKER DEPENDENTS; SPEAKER VERIFICATION; UNSUPERVISED DATA;

SPEECH RECOGNITION;

EID: 84908495969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2014.6889708     Document Type: Conference Paper

References (29)

1. Ahsanu Kabir, Sheikh Mohammad Masudul Ahsan, "Vector Quantization in Text Dependent Automatic Speaker Recognition using Mel-Frequency Cepstrum Coefficient", 6th WSEAS International Conference on circuits, systems, electronics, control signal processing, Cairo, Egypt. 2007:352-355.
2. Douglas A. Reynolds, "Speaker identification and verification using Gaussian mixture speaker models", Speech communication 17.1(1995):91-108.
3. William M. Campbell, Douglas E. Sturim, Douglas A. Reynolds, "Support vector machines using GMM supervectors for speaker verification", Signal Processing Letters, IEEE 13.5(2006):308-311.
4. Kevin R. Farrell, Richard J. Mammone, Khaled T. Assaleh, "Speaker recognition using neural networks and conventional classifiers" Speech and Audio Processing, IEEE Transactions on 2.1(1994):194-205.
5. Douglas A. Reynolds, Thomas F. Quatieri, Robert B. Dunn, "Speaker verification using adapted Gaussian mixture models", Digital signal processing, 10.1(2000):19-41.
6. Patrick Kenny, Gilles Boulianne, Pierre Ouellet, Pierre Dumouchel, "Speaker and session variability in GMM-based speaker verification", Audio, Speech, and Language Processing, IEEE Transactions on 15.4(2007):1448-1460.
7. Najim Dehak, Patrick J.kenny, Reda Dehak, Pierre Dumouchel, Pierre Ouellet, "Front-end factor analysis for speaker verification" Audio, Speech, and Language Processing, IEEE Transactions on 19.4(2011):788-798.
8. Martin, Alvin F, and Craig S. Greenberg. "The NIST 2010 speaker recognition evaluation. " INTERSPEECH. 2010.
9. Kevin R. Farell, Richard J. Mammone, Khaled T. Assaleh, "speaker recognition using neural network and conventional classifier", Speech and Audio Processing, IEEE Transactions on, 1994:194-205.
10. Wouhaybi, Rita H, Adnan Al-Alaoui, "Comparison of neural networks for speaker recognition", Electronics, Circuits and Systems, 1999:125-128.
11. E. Turajlic, O. Bozanovic, "neural network based speaker verification for security system", Telecommunications Forum, (TELFOR), 2012 20th. IEEE, 2012:740-743.
12. Joy deep Ghosh Brian J. Love Jennifer Vining Xuening Sun, "Automatic Speaker Recognition Using Neural Networks [J]." 2004.
13. Mohammed Senoussaoui, Najim Dehak, Patrick Kenny, Reda Dehak, Pierre Dumouchel, "First attempt of Boltzmann Machines for Speaker Verification. ", Odyssey 2012-The Speaker and Language Recognition Workshop. 2012.
14. Lukas Burget, Oldrich Plchot, Sandro Cumani, Ondrej Glembek, Pavel Matejka, Niko Brummer, "Discriminatively trained probabilistic linear discriminant analysis for speaker verification. " Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. IEEE, 2011:4832-4835.
15. Vasileios Vasilakakis, Sandro Cumani, Pietro Laface, "Speaker recognition by means of Deep Belief Networks.", 2013.
16. Samuel Thomas, Sri Harish Mallidi, Sriam Ganapathy, Hynek Hermansky, "adaptation transform of auto-associative neural networks as feature for speaker verification", Odyssey 2012-The Speaker and Language Recognition Workshop. 2012.
17. Marc Ferras, Herv Bourlard, "MLP-based factor analysis for tandem speech recgnition [C]" Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, 2013:6719-6723.
18. S. Yaman, J. Pelecanos, and R. Sarikaya. "Bottleneck Features for Speaker Recognition. " Odyssey. 2012
19. Tomi Kinnunen, Haizhou Li, "An overview of text-independent speaker recognition: From features to supervectors", Speech communication, 52.1(2010):12-40.
20. Patrick Kenny, Gilles Boulianne, Pierre Ouellet, Pierre Dumouchel, "Joint factor analysis versus eigenchannels in speaker recognition", Audio, Speech, and Language Processing, IEEE Transactions on 15.4(2007):1435-1447.
21. Nicolas Le Roux, Yoshua Bengio, "Representational power of restricted Boltzmann machines and deep belief networks", Neural Computation, 2006, 20(6):1631-1649.
22. George E. Dahl, Dong Yu, Li Deng, Alex Acero, "Context-dependent pre-trained deep neural networks for large-vocabulary speech recognition", Audio, Speech, and Language Processing, IEEE Transactions on 20.1(2012):30-42.
23. Hermansky, Hynek, Daniel PW Ellis, and Sangita Sharma. "Tandem connectionist feature extraction for conventional HMM systems." Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 IEEE International Conference on. Vol. 3. IEEE, 2000.
24. Grezl, Frantisek, et al. "Probabilistic and bottle-neck features for LVCSR of meetings." Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on. Vol. 4. IEEE, 2007.
25. Yan, Z., Qiang Huo, Jian Xu, "A scalable approach to using DNN-derived features in GMM-HMM based acoustic modeling for LVCSR.", INTERSPEECH, 2013.
26. Asja Fischer, Christian Igel, "An introduction to restricted Boltzmann machines.", L. Alvarez et al. (Eds): CIARP 2012, LNCS 7441, pp. 2012:14-36.
27. Yochai Konig, Larry Heck, Mitch Weintraub, Kemal Sonmez, "Nonlinear discriminant feature extraction for robust text-independent speaker recognition. " Proc. RLA2C, ESCA workshop on Speaker Recognition and its Commercial and Forensic Applications. 1998:72-75.
28. Frank Seide, Gang Li, Dong Yu, "Conversational Speech Transcription Using Context-Dependent Deep Neural Networks", INTERSPEECH, 2011:437-440.
29. John J Godfrey, Edward Holliman, "Switchboard-1 release 2", Linguistic Data Consortium, Philadelphia, 1997.