Applying convolutional neural networks concepts to hybrid NN-HMM model for speech recognition

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

Volumn , Issue , 2012, Pages 4277-4280

  Abdel Hamid, Ossama ^a   Mohamed, Abdel Rahman ^b   Jiang, Hui ^a   Penn, Gerald ^b  

^a YORK UNIVERSITY   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

acoustic modeling; local filtering; max pooling; neural networks; speech recognition

Indexed keywords

ACOUSTIC MODELING; CNN MODELS; CONVOLUTIONAL NEURAL NETWORK; DATA SETS; FREQUENCY DOMAINS; HIDDEN LAYERS; MAX-POOLING; RELATIVE ERRORS; SPEAKER-INDEPENDENT SPEECH RECOGNITION; SPECTRAL VARIATION; SPEECH RECOGNITION PERFORMANCE; SPEECH SIGNALS; TEST SETS; TRANSLATION INVARIANCE;

IMAGE PROCESSING; NEURAL NETWORKS;

SPEECH RECOGNITION;

EID: 84867605836     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2012.6288864     Document Type: Conference Paper

References (11)

1. A. Mohamed, G. Dahl, and G. Hinton, "Acoustic modeling using deep belief networks," Audio, Speech, and Language Processing, IEEE Transactions on, 2011.
2. T. N. Sainath, B. Kingsbury, B. Ramabhadran, P. Fousek, P. Novak, and A. Mohamed, "Making deep belief networks effective for large vocabulary continuous speech recognition," in ASRU, 2011.
3. G. Li F. Seide and D. Yu, "Conversational speech transcription using context-dependent deep neural networks," in Interspeech 2011.
4. Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, 1998, pp. 2278-2324.
5. Y. LeCun, F. Huang, and L. Bottou, "Learning methods for generic object recognition with invariance to pose and lighting," in Proceedings of CVPR'04. 2004, IEEE Press.
6. Y. LeCun and Y. Bengio, "Convolutional networks for images, speech, and time-series," in The Handbook of Brain Theory and Neural Networks, M. A. Arbib, Ed. 1995, MIT Press.
7. H. Lee, P. Pham, Y. Largman, and A. Ng, "Unsupervised feature learning for audio classification using convolutional deep belief networks," in Advances in Neural Information Processing Systems 22, pp. 1096-1104. 2009.
8. A. Andreou, T. Kamm, and J. Cohen, "Experiments in vocal tract normalization," in Proc. the CAIP Workshop: Frontiers in Speech Recognition II, 1994.
9. M.J.F. Gales, "Maximum likelihood linear transformations for hmm-based speech recognition," Computer Speech and Language, vol. 12, pp. 75-98, 1998.
10. K. F. Lee and H. W. Hon, "Speaker-independent phone recognition using hidden markov models," IEEE Transactions on Audio, Speech and Language Processing, vol. 37, no. 11, pp. 1641-1648, November 1989.
11. G. E. Dahl, M. Ranzato, A. Mohamed, and G. E. Hinton, "Phone recognition with the mean-covariance restricted boltzmann machine," in Advances in Neural Information Processing Systems, 2010, number 23.