IEEE Signal Processing Magazine - January 2018 - 177

recognizer," J. Acoustic. Soc. Amer., vol. 86, no. 2, pp.
540-548, 1989.

IEEE Signal Process. Mag., vol. 25, no. 5, pp. 14-36,
2008.

[9] L. Deng, P. Kenny, M. Lennig, V. Gupta, and P.
Mermelstein, "A locus model of coarticulation in an
HMM speech recognizer," in Proc. IEEE Int. Conf.
Acoustics Speech Signal Processing, 1989, pp.
97-100.

[30] J. Bridle, L. Deng, J. Picone, H. B. Richards, J. Ma,
T. Kamm, M. Shuster, S. Pike, and R. Roland, "An
investigation of segmental hidden dynamic models of
speech coarticulation for automatic speech recognition," Final Rep. for 1998 Workshop on Language
Engineering, CLSP, Johns Hopkins, Baltimore, MD,
1998.

[10] L. Deng, M. Lennig, V. Gupta, and P.
Mermelstein, "Modeling microsegments of stop consonants in a hidden Markov model based word recognizer," J. Acoust. Soc. Amer., vol. 87, no. 6, pp.
2738-2747, 1990.

[31] L. Deng, Dynamic Speech Models: Theory,
Algorithm, and Application. San Rafael, CA: Morgan &
Claypool, 2006.

[11] L. Deng, P. Kenny, M. Lennig, and P. Mermelstein,
"Modeling acoustic transitions in speech by state-interpolation hidden Markov models," IEEE Trans. Signal
Process., vol. 40, no. 2, pp. 265-271, 1990.

[32] L. Deng and D. Yu, "Use of differential cepstra as
acoustic features in hidden trajectory modeling for phonetic recognition," in Proc. IEEE Int. Conf. Acoustics
Speech Signal Processing, 2007.

[12] L. Deng, V. Gupta, M. Lennig, P. Kenny, and P. Mermelstein, "Acoustic recognition component of an 86000word speech recognizer," in Proc. IEEE Int. Conf.
Acoustics Speech Signal Processing, 1990, pp. 741-744.

[33] L. Deng, "Switching dynamic system models for
speech articulation and acoustics," in Mathematical
Foundations of Speech and Language Processing.
New York: Springer-Verlag, 2003.

[13] L. Deng and K. Erler, "Structural design of a hidden Markov model based speech recognizer using
multi-valued phonetic features: Comparison with segmental speech units," J. Acoust. Soc. Amer., vol. 92, pp.
3058-3067, 1992.

[34] J. Ma and L. Deng, "Target-directed mixture
dynamic models for spontaneous speech recognition,"
IEEE Trans. Speech Audio Process., vol. 12, no. 1, pp.
47-58, 2004.

[14] C. Bishop, Pattern Recognition and Machine
Learning. New York: Springer, 2006.
[15] K. Murphy, Machine Learning: A Probabilistic
Perspective. Cambridge, MA: MIT Press, 2012.
[16] C. Bishop, Neural Networks for Pattern Re cognition. Oxford, U.K.: Oxford Univ. Press, 1995.
[17] F. Jelinek, Statistical Models for Speech Recognition. Cambridge, MA: MIT Press, 1998.
[18] L. Rabiner and B.-H. Juang, Fundamentals of
Speech Recognition. Englewood Cliffs, NJ: Prentice
Hall, 1993.
[19] R. Chengalvarayan and L. Deng, "HMM-based
speech recognition using state-dependent, discriminatively derived transforms on Mel-warped DFT features,"
IEEE Trans. Speech Audio Process., vol. 5, no. 3, pp.
243-256, May 1997.
[20] L. Deng, D. Yu, and A. Acero, "Structured speech
modeling," IEEE Trans. Speech Audio Process., vol.
14, no. 5, pp. 1492-1504, 2006.
[21] P. Viola and M. Jones, "Robust real-time face detection," Int. J. Comput. Vis., vol. 57, pp. 137-154, 2004.
[22] L. Fei-Fei and P. Perona, "A Bayesian hierarchical
model for learning natural scene categories," in Proc.
IEEE Conf. Computer Vision Pattern Recognition,
2005, pp. 524-531.
[23] R. Plamondon and S. Srihari, "Online and off-line
handwriting recognition: A comprehensive survey,"
IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no.
1, pp. 63-84, Jan. 2000.
[24] F. Och, "Minimum error rate training in statistical
machine translation," in Proc. Assoc. Computational
Linguistics Conf., 2003, pp. 160-167.
[25] J. Baker, L. Deng, J. Glass, S. Khudanpur, C.-H.
Lee, N. Morgan, and D. O'Shaughnessy, "Research
developments and directions in speech recognition and
understanding," IEEE Signal Process. Mag., vol. 26,
no. 3, pp. 75-80, 2009.
[26] J. M. Baker, L. Deng, S. Khudanpur, C.-H. Lee, J.
R. Glass, N. Morgan, and D. O'Shaughnessy, "Updated
MINDS report on speech recognition and understanding," IEEE Signal Process. Mag., vol. 26, no. 4, pp.
78-85, July 2009.
[27] X. Huang, A. Acero, and H.-W. Hon, Spoken
Language Processing. Englewood Cliffs, NJ: Prentice
Hall, 2000.
[28] L. Deng and D. O'Shaughnessy, Speech
Processing: A Dynamic and Optimization-Oriented
Approach. New York: Marcel Dekker, 2003.
[29] X. He, L. Deng, and W. Chou, "Discriminative
learning in sequential pattern recognition: A unifying
review for optimization-oriented speech recognition,"

[35] J. Picone, P. S. Pike, R. Regan, T. Kamm, J. bridle,
L. Deng, Z. Ma, H. Richards, and M. Schuster, "Initial
evaluation of hidden dynamic models on conversational
speech," in Proc. IEEE Int. Conf. Acoustics, Speech,
Signal Processing, 1999.
[36] L. Deng, M. Seltzer, D. Yu, A. Acero, A.
Mohamed, and G. Hinton, "Binary coding of speech
spectrograms using a deep autoencoder," in Proc.
IEEE Int. Conf. Speech Communication Assoc.,
2010.
[37] L. Deng, G. Hinton, and B. Kingsbury, "New
types of deep neural network learning for speech recognition and related applications: An overview," in Proc.
IEEE Int. Conf. Acoustics Speech Signal Processing,
2013.
[38] G. Hinton, et al., "Deep neural networks for acoustic modeling in speech recognition," IEEE Signal
Process. Mag., vol. 29, pp. 82-97, Nov. 2012.
[39] Y. LeCun, Y. Bengio, and G. Hinton, "Deep learning," Nature, vol. 521, pp. 436-444, May 2015.
[40] A. Mohamed, G. Dahl, and G. Hinton. "Acoustic
modeling using deep belief networks," in Proc. Conf.
Neural Information Processing Systems Workshop on
Speech Recognition, 2009.
[41] D. Yu and L. Deng, Automatic Speech
Recognition: A Deep Learning Approach. New York:
Springer, 2015.
[42] G. Dahl, D. Yu, L. Deng, and A. Acero,
"Context-dependent pre-trained deep neural networks
for large-vocabulary speech recognition," IEEE
Trans. Speech Audio Process., vol. 20, pp. 30-42,
Jan. 2012.
[43] O. Abdel-Hamid, A. Mohamed, H. Jiang, L.
Deng, G. Penn, and D. Yu, "Convolutional neural networks for speech recognition," IEEE/ACM Trans.
Audio Speech Language Process., vol. 22, pp. 1533-
1545, July 2014.
[44] D. Amodei, et al., "Deep speech 2: End-toend speech recognition in English and Mandarin,"
in Proc. Int. Conf. Machine Learning, 2016, pp.
173-182.
[45] W. Xiong, et al., "Achieving human parity in conversational speech recognition," in Proc. IEEE Int.
Conf. Speech Communication Assoc., 2016.
[46] G. Saon, et al., "English conversational telephone
speech recognition by humans and machines," in Proc.
IEEE Int. Conf. Acoustics Speech Signal Processing,
2017.
[47] A. Krizhevsky, I. Sutskever, and G. E. Hinton,
"ImageNet classification with deep convolutional neural
networks," in Proc. Conf. Neural Information
Processing Systems, 2012.

IEEE SIGNAL PROCESSING MAGAZINE

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January 2018

|

[48] K. He, X. Zhang, S. Ren, and J. Sun, "Deep residual learning for image recognition," in Proc. IEEE
Conf. Computer Vision Pattern Recognition, 2016.
[49] D. Bahdanau, K. Cho, and Y. Bengio, "Neural
machine translation by jointly learning to align and translate," in Proc. Int. Conf. Machine Learning, 2015.
[50] A. Karpathy and L. Fei-Fei, "Deep visualsemantic alignments for generating image descriptions," in Proc. IEEE Conf. Computer Vision Pattern
Recognition, 2015.
[51] J. Devlin, et al., "Language models for image captioning: The quirks and what works," in Proc. Assoc.
Computational Linguistics Conf., 2015.
[52] H. Fang, et al., "From captions to visual concepts
and back," in Proc. IEEE Conf. Computer Vision
Pattern Recognition, 2015.
[53] Z. Gan, et al., "Semantic compositional networks
for visual captioning," in Proc. IEEE Conf. Computer
Vision Pattern Recognition, 2017.
[54] Z. Yang, X. He, J. Gao, L. Deng, and A. Smola,
"Stacked attention networks for image question answering," in Proc. IEEE Conf. Computer Vision Pattern
Recognition, 2016.
[55] P.-S. Huang, X. He, J. Gao, L. Deng, A. Acero,
and L. Heck, "Learning deep structured semantic models for web search using clickthrough data," in Proc.
Conf. Information and Knowledge Management,
2013.
[56] P. Smolensky, M. Lee, X. He, W.-t. Yih, J. Gao,
and L. Deng, "Basic reasoning with tensor product representations," arXiv preprint, Jan. 2016.
[57] M. Lee, X. He, W.-t. Yih, J. Gao, L. Deng, and P.
Smolensky, "Reasoning in vector space: An exploratory
study of question answering," in Proc. Int. Conf.
Learning Representations, 2016.
[58] R. Stewart and S. Ermon, "Label-free supervision of neural networks with physics and domain
knowledge," in Proc. Assoc. Advancement Artificial
Intelligence Conf., 2017.
[59] Y. Liu, J. Chen, and L. Deng, "Unsupervised
sequence classification using sequential output statistics," in Proc. Conf. Neural Information Processing
Systems, 2017.
[60] I. Goodfellow, et al., "Generative adversarial nets,"
in Proc. Conf. Neural Information Processing
Systems, 2014.
[61] L. Deng. "Cross-modality distant supervised
learning for speech, text, and image classification,"
in Proc. Conf. Neural Information Processing
Systems Workshop Multimodal Machine Learning,
2015.
[62] S. Hochreiter, A. S. Younger, and P. R. Conwell,
"Learning to learn using gradient descent," in Proc. Int.
Conf. Artificial Neural Networks, 2001, pp. 87-94.
[63] L. Deng, How Deep Reinforcement Learning
Can Help Chatbot, Venturebeat, Aug. 2016. [Online].
Available: https://venturebeat.com/2016/08/01/
how-deep-reinforcement-learning-can-help-chatbots/
[64] S. Russell and P. Norvig, Artificial Intelligence: A
Modern Approach. London: Pearson, 2009.
[65] G. Hinton, S. Osindero, and Y.-W. Teh, "A fast
learning algorithm for deep belief nets, Neural
Computation, vol. 18, 2006, pp. 1527-1554.
[66] L. Deng, "A dynamic, feature-based approach to
the interface between phonology and phonetics for
speech modeling and recognition," Speech Com munication, vol. 24, no. 4, pp. 299-323, 1998.
[67] L. Deng and Y. Liu, Eds, Deep Learning in
Natural Language Processing. Beijing: Springer,
2018.
[68] H. Palangi, P. Smolensky, X. He, and L. Deng.
"Question-answering with grammatically-interpretable representations," in Proc. AAAI Conf. Artificial
Intelligence, 2018, to be published.

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