Li Deng

发表

Training and Decoding Speedup

Dong Yu, Li Deng, 2015 .

Large-vocabulary speech recognition under adverse acoustic environments

Li Deng, Alex Acero, Xuedong Huang, 2000, INTERSPEECH.

Tensor Deep Stacking Networks

Dong Yu, Li Deng, Brian Hutchinson, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Improved speech modeling and recognition using multi-dimensional articulatory states as primitive speech units

Li Deng, Hossein Sameti, J. Nu, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

A Generative Modeling Framework for Structured Hidden Speech Dynamics

Dong Yu, Li Deng, L. Deng, 2005 .

Interaction of speech disorders with speech coders: effects on speech intelligibility

Li Deng, Vijay Parsa, Donald G. Jamieson, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

HMMs with mixtures of trend functions for automatic speech recognition

Li Deng, M. Aksmanovic, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

Efficient on-line acoustic environment estimation for FCDCN in a continuous speech recognition system

Li Deng, Alex Acero, Jasha Droppo, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A Markov model containing state-conditioned second-order non-stationarity: application to speech recognition

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 1995, Comput. Speech Lang..

End-to-end learning of parsing models for information retrieval

Jianfeng Gao, Li Deng, Xiaodong He, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information

Zicheng Liu, Li Deng, Zhengyou Zhang, 2005, 2005 IEEE International Conference on Multimedia and Expo.

Maximum mutual information training of a neural predictive-based HMM speech recognition system

Li Deng, Mohamed I. Elmasry, Khaled Hassanein, 1992, Neural Networks for Signal Processing II Proceedings of the 1992 IEEE Workshop.

Using deep stacking network to improve structured compressed sensing with Multiple Measurement Vectors

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Abstracts of Manuscripts in Review Automatic Generation of Synthesis Unit and Prosodic Information for Chinese Concatenative Synthesis

Chung-Hsien Wu, Li Deng, Jau-Hung Chen, 1999 .

Nonlinear information fusion in multi-sensor processing - extracting and exploiting hidden dynamics of speech captured by a bone-conductive microphone

Zicheng Liu, Li Deng, Zhengyou Zhang, 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

A smart phone-based system for post-earthquake investigations of building damage

Hong Guan, Li Deng, Zhen Xu, 2018 .

HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition

Yifan Gong, Jinyu Li, Dong Yu, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Deep Learning and Its Applications to Signal and Information Processing

Dong Yu, Li Deng, L. Deng, 2011 .

An expectation maximization approach for formant tracking using a parameter-free non-linear predictor

Li Deng, Alex Acero, Issam Bazzi, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

HMM-based strategies for enhancement of speech signals embedded in nonstationary noise

Hamid Sheikhzadeh, Li Deng, Hossein Sameti, 1998, IEEE Trans. Speech Audio Process..

A Novel Learning Method for Hidden Markov Models in Speech and Audio Processing

Wu Chou, Li Deng, Xiaodong He, 2006, 2006 IEEE Workshop on Multimedia Signal Processing.

Modeling context-dependent phonetic units in a continuous speech recognition system for Mandarin Chinese

Li Deng, Jim Jian-Xiong Wu, Jacky Chan, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Deep Learning for Signal and Information Processing

Dong Yu, Li Deng, L. Deng, 2013 .

Hidden Markov model representation of quantized articulatory features for speech recognition

Li Deng, Kevin Erler, 1993, Comput. Speech Lang..

Joint state and parameter estimation for a target-directed nonlinear dynamic system model

Li Deng, Roberto Togneri, L. Deng, 2003, IEEE Trans. Signal Process..

A dynamic, feature-based approach to speech modeling and recognition

Li Deng, L. Deng, 1997, 1997 IEEE Workshop on Automatic Speech Recognition and Understanding Proceedings.

Target-directed mixture dynamic models for spontaneous speech recognition

Li Deng, Jeff Z. Ma, L. Deng, 2004, IEEE Transactions on Speech and Audio Processing.

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation pdf

Yelong Shen, Jianfeng Gao, Li Deng, 2015, ArXiv.

Cross-lingual speech recognition under runtime resource constraints

Peng Liu, Yifan Gong, Dong Yu, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Distributed Compressive Sensing: A Deep Learning Approach

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2015, IEEE Transactions on Signal Processing.

Novel Acoustic Modeling with Structured Hidden Dynamics for Speech Coarticulation and Reduction

Dong Yu, Li Deng, Xiaolong Li, 2004 .

Parameter estimation of a target-directed dynamic system model with switching states

Li Deng, Roberto Togneri, Jeff Z. Ma, 2001, Signal Process..

Efficient decoding strategy for conversational speech recognition using state-space models for vocal-tract-resonance dynamics

Li Deng, Jeff Z. Ma, L. Deng, 2001, INTERSPEECH.

A multimodal variational approach to learning and inference in switching state space models [speech processing application]

Paul W. Fieguth, Li Deng, Hagai Attias, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Sequence Modeling via Segmentations pdf

Chong Wang, Po-Sen Huang, Li Deng, 2017, ICML.

Attentive Tensor Product Learning for Language Generation and Grammar Parsing pdf

Li Deng, Chang Liu, Qiuyuan Huang, 2018, ArXiv.

Automatic speech recognition using dynamically defined speech units

Li Deng, Hossein Sameti, L. Deng, 1994, ICSLP.

Foundations and Trends in Signal Processing: DEEP LEARNING - Methods and Applications

Dong Yu, Li Deng, L. Deng, 2014 .

Hierarchical Non-Stationarity in a Class of Doubly Stochastic Time Series Models with Application to Speech Recognition

Li Deng, 1991 .

Transiems as dynamically defined, sub-phonemic units of speech: A computational model

Li Deng, 1996, Signal Process..

Speech-Centric Information Processing: An Optimization-Oriented Approach

Li Deng, Xiaodong He, Xiaodong He, 2013, Proceedings of the IEEE.

Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model

Li Deng, Alex Acero, Hagai Attias, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing

Samy Bengio, Li Deng, Roland Kuhn, 2010, IEEE J. Sel. Top. Signal Process..

Structure-based and template-based automatic speech recognition - comparing parametric and non-parametric approaches

Li Deng, Helmer Strik, L. Deng, 2007, INTERSPEECH.

Use of incrementally regulated discriminative margins in MCE training for speech recognition

Dong Yu, Li Deng, Alex Acero, 2006, INTERSPEECH.

A statistical coarticulatory model for the hidden vocal-tract-resonance dynamics

Li Deng, Jeff Z. Ma, L. Deng, 1999, EUROSPEECH.

Coarticulation modeling by embedding a target-directed hidden trajectory model into HMM - MAP decoding and evaluation

Li Deng, Jian-Lai Zhou, Frank Seide, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Acoustic-To-Articulatory Inversion Using Dynamical and Phonological Constraints

Li Deng, Sorin Dusan, L. Deng, 2017 .

Language recognition using deep-structured conditional random fields

Dong Yu, Li Deng, Shizhen Wang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Efficient and Robust Language Modeling in an Automatic Children's Reading Tutor System

Li Deng, Xiaolong Li, Alex Acero, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

An Overview of Modern Speech Recognition

Li Deng, Xuedong Huang, L. Deng, 2010, Handbook of Natural Language Processing.

An Integrative and Discriminative Technique for Spoken Utterance Classification

Dong Yu, Li Deng, Alex Acero, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

A dynamic system approach to speech enhancement using the H∞ filtering algorithm

Xuemin Shen, Li Deng, Xuemin Shen, 1999, IEEE Trans. Speech Audio Process..

Learning statistically characterized resonance targets in a hidden trajectory model of speech coarticulation and reduction

Dong Yu, Li Deng, Alex Acero, 2005, INTERSPEECH.

Automatic Speech Recognition

Dong Yu, Li Deng, L. Deng, 2015 .

Deep stacking networks for information retrieval

Jianfeng Gao, Li Deng, Xiaodong He, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A robust speech understanding system using conceptual relational grammar

Li Deng, Roberto Togneri, Jiping Sun, 2000, INTERSPEECH.

Maximizing global entropy reduction for active learning in speech recognition

Dong Yu, Li Deng, Alex Acero, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Analysis of the correlation structure for a neural predictive model with application to speech recognition

Mohamed I. Elmasry, Li Deng, Khaled Hassanein, 1994, Neural Networks.

Simulation of disordered speech using a frequency-domain vocal tract model

Xuemin Shen, Li Deng, Donald G. Jamieson, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

A Discriminative Training Framework using N-Best Speech Recognition Transcriptions and Scores for Spoken Utterance Classification

Dong Yu, Li Deng, Alex Acero, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks \& Replay Buffer Spiking pdf

Jianfeng Gao, Xiujun Li, Li Deng, 2016, ArXiv.

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads pdf

Jianfeng Gao, Mari Ostendorf, Li Deng, 2016, ArXiv.

Pipelined architecture for neural-network-based speech recognition

David Zhang, Mohamed I. Elmasry, Li Deng, 1994, Neural Parallel Sci. Comput..

Learning deep architectures using kernel modules

Li Deng, L. Deng, 2012, MLSLP.

Annotation and Use of Speech Production Corpus for Building Language-Universal Speech Recognizers

Li Deng, Xing Jing, Jiping Sun, 2000 .

Deep Dynamic Models for Learning Hidden Representations of Speech Features

Li Deng, Roberto Togneri, L. Deng, 2014 .

Phone-discriminating minimum classification error (p-MCE) training for phonetic recognition

Li Deng, Xiaodong He, Qian Qian, 2007, INTERSPEECH.

Topics On Hidden Markov Models And Their Applications In Speech Recognition

Li Deng, C. F. Jeff Wu, Don X. Sun, 1994 .

A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions

Yifan Gong, Jinyu Li, Dong Yu, 2009, Computer Speech and Language.

StyleNet: Generating Attractive Visual Captions with Styles

Zhe Gan, Jianfeng Gao, Li Deng, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers

Yifan Gong, Jinyu Li, Dong Yu, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Maximum-likelihood estimation for articulatory speech recognition using a stochastic target model

Li Deng, Gordon Ramsay, 1995, EUROSPEECH.

A New Method for Learning Deep Recurrent Neural Networks pdf

Li Deng, Jianshu Chen, Jianshu Chen, 2013, ICLR.

Semantic Modelling with Long-Short-Term Memory for Information Retrieval pdf

Rabab Kreidieh Ward, Yelong Shen, Jianfeng Gao, 2014, ArXiv.

An Overview of Deep-Structured Learning for Information Processing

Li Deng, L. Deng, 2011 .

Decomposition solution of H∞ filter gain in singularly perturbed systems

Xuemin Shen, Li Deng, Xuemin Shen, 1996, Signal Process..

Handling phonetic context and speaker variation in a structure-based speech recognizer

Dong Yu, Li Deng, Alex Acero, 2007, INTERSPEECH.

Automatic Speech Recognition: A Deep Learning Approach

Dong Yu, Li Deng, L. Deng, 2014 .

Front-End, Back-End, and Hybrid Techniques for Noise-Robust Speech Recognition

Li Deng, L. Deng, 2011, Robust Speech Recognition of Uncertain or Missing Data.

Recurrent Reinforcement Learning: A Hybrid Approach pdf

Jianfeng Gao, Xiujun Li, Li Deng, 2015, ArXiv.

Filtering for Speech Enhancement

Xuemin Shen, Li Deng, Anisa Yasmin, 1996 .

Learning Multi-Relational Semantics Using Neural-Embedding Models pdf

Jianfeng Gao, Li Deng, Bishan Yang, 2014, ArXiv.

Articulatory Features and Associated Production Models Statistical Speech Recognition

Li Deng, L. Deng, 1999 .

Transitional speech units and their representation by regressive Markov states: applications to speech recognition

Li Deng, Hossein Sameti, L. Deng, 1996, IEEE Trans. Speech Audio Process..

Chapter 2: Gaussian Mixture Models

Dong Yu, Li Deng, L. Deng, 2014 .

Chapter 8: Deep Neural Network Sequence-Discriminative Training

Dong Yu, Li Deng, 2014 .

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

Jianfeng Gao, Mari Ostendorf, Li Deng, 2016, EMNLP.

Deep Learning for Image-to-Text Generation: A Technical Overview

Li Deng, Xiaodong He, Xiaodong He, 2017, IEEE Signal Processing Magazine.

A Neural-Symbolic Approach to Design of CAPTCHA.

Li Deng, Qiuyuan Huang, Dapeng Wu, 2017, 1710.11475.

Robust Speech Translation by Domain Adaptation

Li Deng, Xiaodong He, 2011, INTERSPEECH.

Representation Sharing and Transfer in Deep Neural Networks

Dong Yu, Li Deng, L. Deng, 2015 .

The shared views of four research groups )

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 1997, IEEE Trans. Speech Audio Process..

Comparative performance of spectral subtraction and HMM-based speech enhancement strategies with application to hearing and design

Hamid Sheikhzadeh, Li Deng, Hossein Sameti, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

New Focus, New Challenge [From the Editor]

Li Deng, Li Deng, 2010 .

Speech Denoising and Dereverberation Using Probabilistic Models

Li Deng, Alex Acero, John C. Platt, 2000, NIPS.

Grammatically-Interpretable Learned Representations in Deep NLP Models

Li Deng, Qiuyuan Huang, Xiaodong He, 2018 .

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

Jianfeng Gao, Xiujun Li, Li Deng, 2016, AAAI.

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension pdf

Po-Sen Huang, Li Deng, Xiaodong He, 2017, EMNLP.

A Novel Framework and Training Algorithm for Variable-Parameter Hidden Markov Models

Yifan Gong, Dong Yu, Li Deng, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Multi-channel processing

Yifan Gong, Li Deng, Reinhold Haeb-Umbach, 2015 .

FACTORIZED DEEP NEURAL NETWORKS FOR ADAPTIVE SPEECH RECOGNITION

Dong Yu, Li Deng, Xin Chen, 2012 .

Dynamic Speech Models --- Theory, Algorithm, and Application; (book review in IEEE Trans. Neural Networks, Vol. March 2009)

Li Deng, 2006 .

A Bayesian Approach to Speaker Verification

Li Deng, Hui Jiang, 2001 .

Speech adaptation experiments using nonstationary-state HMMs: A MAP approach

Li Deng, C. Rathinavelu, 1997 .

Sequential Labeling Using Deep-Structured Conditional Random Fields

Dong Yu, Li Deng, Shizhen Wang, 2010, IEEE Journal of Selected Topics in Signal Processing.

A fast maximum likelihood nonlinear feature transformation method for GMM-HMM speaker adaptation

Kaisheng Yao, Yifan Gong, Dong Yu, 2014, Neurocomputing.

A study on multilingual acoustic modeling for large vocabulary ASR

Hui Lin, Yifan Gong, Chin-Hui Lee, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Unsupervised Learning of Predictors from Unpaired Input-Output Samples pdf

Po-Sen Huang, Jianfeng Gao, Li Deng, 2016, ArXiv.

Signal and Communication Technology: ASR — Deep Learning

Li Deng, D. Yu, L. Deng, 2014 .

ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, NIPS.

Farewell editorial: keeping up the momentum of innovations

Li Deng, Li Deng, 2014, TASLP.

An Unsupervised Learning Method Exploiting Sequential Output Statistics pdf

Yu Liu, Li Deng, Jianshu Chen, 2017, ArXiv.

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation pdf

Li Deng, Chang Wen Chen, Jianshu Chen, 2019, ArXiv.

Deep Convex Networks for Image and Speech Classification

Dong Yu, Li Deng, 2011 .

High-performance robust speech recognition using stereo training data

Li Deng, Alex Acero, Xuedong Huang, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Modeling Interestingness with Deep Neural Networks

Jianfeng Gao, Li Deng, Michael Gamon, 2014, EMNLP.

An overlapping-feature-based phonological model incorporating linguistic constraints: applications to speech recognition.

Li Deng, Jiping Sun, L. Deng, 2002, The Journal of the Acoustical Society of America.

Analysis of acoustic-phonetic variations in fluent speech using TIMIT

Li Deng, Don X. Sun, L. Deng, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Predicting speech recognition confidence using deep learning with word identity and score features

Yifan Gong, Po-Sen Huang, Li Deng, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Discriminative training of variable-parameter HMMs for noise robust speech recognition

Yifan Gong, Dong Yu, Li Deng, 2008, INTERSPEECH.

Learning deep structured semantic models for web search using clickthrough data

Larry P. Heck, Po-Sen Huang, Jianfeng Gao, 2013, CIKM.

A bidirectional target-filtering model of speech coarticulation and reduction: two-stage implementation for phonetic recognition

Dong Yu, Li Deng, Alex Acero, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Integrated-multilingual speech recognition using universal phonological features in a functional speech production model

Li Deng, L. Deng, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Unsupervised Sequence Classification using Sequential Output Statistics

Yu Liu, Li Deng, Jianshu Chen, 2017, NIPS.

Pipelined Neural Network Architecture For Speech Recognition

Li Deng, Mohamed I. Elmasry, David Zhang, 1994 .

Waveform-based speech recognition using hidden filter models: parameter selection and sensitivity to power normalization

Hamid Sheikhzadeh, Li Deng, L. Deng, 1994, IEEE Trans. Speech Audio Process..

Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition

Dong Yu, Li Deng, 2007, International Conference on Semantic Computing (ICSC 2007).

An EKF-based algorithm for learning statistical hidden dynamic model parameters for phonetic recognition

Li Deng, Roberto Togneri, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Discriminative pronounciation learning using phonetic decoder and minimum-classification-error criterion

Dong Yu, Li Deng, Alex Acero, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Chapter 13: Recurrent Neural Networks and Related Models

Dong Yu, Li Deng, L. Deng, 2014 .

Using continuous features in the maximum entropy model

Dong Yu, Li Deng, Alex Acero, 2009, Pattern Recognit. Lett..

Adaptation of Deep Neural Networks

Dong Yu, Li Deng, L. Deng, 2015 .

Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Deep Convex Network: Architectures and Parallelizable Learning

Li Deng, D. Yu, 2011 .

Analysis and comparison of two speech feature extraction/compensation algorithms

Li Deng, Alex Acero, Jian Wu, 2005, IEEE Signal Processing Letters.

Distributed speech processing in miPad's multimodal user interface

Li Deng, Alex Acero, Xuedong Huang, 2002, IEEE Trans. Speech Audio Process..

Scaffolding Networks: Incremental Learning and Teaching Through Questioning

Chong Wang, Li Deng, Lihong Li, 2017 .

Advanced Model Initialization Techniques

Dong Yu, Li Deng, 2015 .

Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends

Heiga Zen, Li Deng, Zhen-Hua Ling, 2015, IEEE Signal Processing Magazine.

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture

Yelong Shen, Jianfeng Gao, Li Deng, 2015, NIPS.

HMM adaptation using vector taylor series for noisy speech recognition

Li Deng, Alex Acero, Trausti T. Kristjansson, 2000, INTERSPEECH.

Speech recognition using autosegmental representation of phonological units with interface to the trended HMM

Li Deng, L. Deng, 1997, Speech Commun..

Deep Neural Network Sequence-Discriminative Training

Li Deng, Dong Yu, 2015 .

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

Jianfeng Gao, Xiujun Li, Li Deng, 2016, ACL.

Speaker adaptation experiments using nonstationary-state hidden Markov models: a MAP approach

Li Deng, Rathinavelu Chengalvarayan, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

H-infinity filtering for speech enhancement

Xuemin Shen, Li Deng, Anisa Yasmin, 1996, ICSLP.

Tracking Vocal Tract Resonances Using a Quantized Nonlinear Function Embedded in a Temporal Constraint

Li Deng, Alex Acero, Issam Bazzi, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Machine LearningParadigmsforSpeech Recognition

Xiao Li, Li Deng, L. Deng, 2013 .

A Speech-Centric Perspective for Human-Computer Interface: A Case Study

Dong Yu, Li Deng, 2005, J. VLSI Signal Process..

Data-driven model construction for continuous speech recognition using overlapping articulatory features

Li Deng, Xing Jing, Jiping Sun, 2000, INTERSPEECH.

The Application of Genetic Algorithm in Layout Design of Oil Rig Driller Console

Li Deng, Bo Chen, Bo Chen, 2011 .

The MSR SYSTEM for IWSLT 2011 evaluation

Mei-Yuh Hwang, Li Deng, Alex Acero, 2011, IWSLT.

Neural-network architecture for linear and nonlinear predictive hidden Markov models: application to speech recognition

Li Deng, Mohamed I. Elmasry, Khaled Hassanein, 1991, Neural Networks for Signal Processing Proceedings of the 1991 IEEE Workshop.

Exploiting deep neural networks for detection-based speech recognition

Chin-Hui Lee, Dong Yu, Li Deng, 2013, Neurocomputing.

Solving Nonlinear Estimation Problems Using Splines

Dong Yu, Li Deng, L. Deng, 2009 .

Tensor Product Generation Networks pdf

Li Deng, Qiuyuan Huang, Dapeng Wu, 2017, ArXiv.

Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model

Chin-Hui Lee, Dong Yu, Li Deng, 2013, IEEE Signal Processing Letters.

H/sub /spl infin// filtering for speech enhancement

Xuemin Shen, Li Deng, A. Tasmin, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Recurrent Deep-Stacking Networks for sequence classification

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2014, 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP).

A novel decision function and the associated decision-feedback learning for speech translation

Li Deng, Alex Acero, Yaodong Zhang, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Parameter clustering and sharing in variable-parameter HMMs for noise robust speech recognition

Yifan Gong, Dong Yu, Li Deng, 2008, INTERSPEECH.

Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A new approach to speech enhancement by a microphone array using EM and mixture models

Li Deng, Hagai Attias, 2002, INTERSPEECH.

Phonetic classification and recognition using HMM representation of overlapping articulatory features for all classes of English sounds

Li Deng, Don X. Sun, L. Deng, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A Computational Network

Dong Yu, Li Deng, L. Deng, 2017 .

Embedding Entities and Relations for Learning and Inference in Knowledge Bases pdf

Jianfeng Gao, Li Deng, Bishan Yang, 2014, ICLR.

A hidden trajectory model with bi-directional target filtering: cascaded vs. integrated implementation for phonetic recognition

Xiang Li, Dong Yu, Li Deng, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Processing of acoustic signals in a cochlear model incorporating laterally coupled suppressive elements

Li Deng, L. Deng, 1992, Neural Networks.

Guest Editors' Introduction: Special Section on Learning Deep Architectures

Samy Bengio, Li Deng, Honglak Lee, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Nonstationary-State Hidden Markov Models for Speech Recognition

Li Deng, Don X. Sun, 1995 .

Speech trajectory discrimination using the minimum classification error learning

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 1998, IEEE Trans. Speech Audio Process..

深度学习：方法和应用 (Chinese version of "Deep Learning: Methods and Applications")

Dong Yu, Li Deng, L. Deng, 2016 .

Reasoning in Vector Space: An Exploratory Study of Question Answering pdf

Jianfeng Gao, Li Deng, Xiaodong He, 2016, ICLR.

Interpreting the prediction process of a deep network constructed from supervised topic models

Jianfeng Gao, Li Deng, Lin Xiao, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition

Dong Yu, Li Deng, Alex Acero, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Gaussian Mixture Models

Dong Yu, Li Deng, 2015 .

A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances

Li Deng, Alex Acero, Hagai Attias, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A structured speech model parameterized by recursive dynamics and neural networks

Li Deng, Roberto Togneri, 2007, INTERSPEECH.

Teach-Ware: Signal Processing Resources at Connexions

Dong Yu, Li Deng, 2009 .

Recent advances in deep learning for speech research at Microsoft

Geoffrey Zweig, Kaisheng Yao, Yifan Gong, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Language Models for Image Captioning: The Quirks and What Works pdf

Geoffrey Zweig, Li Deng, Hao Fang, 2015, ACL.

Binary coding of speech spectrograms using a deep auto-encoder

Geoffrey E. Hinton, Dong Yu, Li Deng, 2010, INTERSPEECH.

A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise

Li Deng, Alex Acero, John C. Platt, 2001, INTERSPEECH.

Computational Models for Speech Production

Li Deng, L. Deng, 2018, Speech Processing.

Use of generalized dynamic feature parameters for speech recognition: maximum likelihood and minimum classification error approaches

Li Deng, Rathinavelu Chengalvarayan, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Discriminative learning in sequential pattern recognition

Wu Chou, Li Deng, Xiaodong He, 2008, IEEE Signal Processing Magazine.

The Deep Tensor Neural Network With Applications to Large Vocabulary Speech Recognition

Dong Yu, Li Deng, Frank Seide, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Inaugural Editorial: Riding the Tidal Wave of Human-Centric Information Processing - Innovate, Outreach, Collaborate, Connect, Expand, and Win

Li Deng, Li Deng, 2012, IEEE Trans. Speech Audio Process..

Speaker-independent phonetic classification using hidden Markov models with state-conditioned mixtures of trend functions

Li Deng, M. Aksmanovic, L. Deng, 1997 .

Dynamic Speech Models: Theory, Algorithms, and Applications

Li Deng, Li Deng, 2006, Dynamic Speech Models.

Enhancement of log Mel power spectra of speech using a phase-sensitive model of the acoustic environment and sequential estimation of the corrupting noise

Li Deng, Alex Acero, Jasha Droppo, 2004, IEEE Transactions on Speech and Audio Processing.

Robust Speech Recognition Using a Cepstral Minimum-Mean-Square-Error-Motivated Noise Suppressor

Yifan Gong, Dong Yu, Li Deng, 2008, IEEE Transactions on Audio, Speech, and Language Processing.

The semi-relaxed algorithm for estimating parameters of hidden Markov models

Li Deng, 1991 .

REAL-TIME MULTISCALE DETECTION OF DEFECTIVE PILLS DURING MANUFACTURING

Yalchin Efendiev, Li Deng, Robert A. Lodder, 2012 .

Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition

Li Deng, Dong Yu, 2007 .

Non-Stationary Hidden Markov Models for Speech Recognition

Li Deng, Don X. Sun, Don X. Sun, 1996 .

Roles of high-fidelity acoustic modeling in robust speech recognition

Li Deng, L. Deng, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Semantic Compositional Networks for Visual Captioning

Zhe Gan, Jianfeng Gao, Li Deng, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS

Bin Ma, Haizhou Li, Chng Eng Siong, 2016, INTERSPEECH.

Game theory approach to discrete H∞ filter design

Xuemin Shen, Li Deng, Xuemin Shen, 1997, IEEE Trans. Signal Process..

Deep Discriminative and Generative Models for Pattern Recognition

Li Deng, Navdeep Jaitly, L. Deng, 2015 .

Shining Bright: The Golden Era of Signal Processing [From the Editor]

Li Deng, 2011, IEEE Signal Process. Mag..

A robust training strategy against extraneous acoustic variations for spontaneous speech recognition

Li Deng, Hui Jiang, 2000, INTERSPEECH.

A quantitative model for formant dynamics and contextually assimilated reduction in fluent speech

Li Deng, Yu Dong, Alex Acero, 2004, INTERSPEECH.

A dynamic, feature-based approach to the interface between phonology and phonetics for speech modeling and recognition

Li Deng, L. Deng, 1998, Speech Commun..

A statistical model for formant-transition microsegments of speech incorporating locus equations

Li Deng, 1994, Signal Process..

Guest Editors' Introduction: Special Section on Emergent Systems, Algorithms and Architectures for Speech-Based Human-Machine Interaction

Li Deng, Shoji Makino, Rodrigo Capobianco Guido, 2007, IEEE Trans. Computers.

A Neural Predictive Hidden Markov Model Architecture for Speech and Speaker Recognition

Li Deng, Mohamed I. Elmasry, Khaled Hassanein, 1994 .

Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval

Xiaodong Liu, Kevin Duh, Jianfeng Gao, 2015, NAACL.

Convolutional Deep Stacking Networks for distributed compressive sensing

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2017, Signal Process..

Scalable stacking and learning for building deep architectures

Dong Yu, Li Deng, John C. Platt, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Active Learning and Semi-supervised Learning for Speech Recognition: a Unified Framework Using the Global Entropy Reduction Maximization Criterion Computer Speech and Language Article in Press Active Learning and Semi-supervised Learning for Speech Recognition: a Unified Framework Using the Global E

Dong Yu, Li Deng, Alex Acero, 2022 .

Parallel Training for Deep Stacking Networks

Dong Yu, Li Deng, Brian Hutchinson, 2012, INTERSPEECH.

Deep-structured hidden conditional random fields for phonetic recognition

Dong Yu, Li Deng, L. Deng, 2010, INTERSPEECH.

Use of generalized dynamic feature parameters for speech recognition

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 1997, IEEE Trans. Speech Audio Process..

Mipad: a next generation PDA prototype

Li Deng, Joshua Goodman, Alex Acero, 2000, INTERSPEECH.

From captions to visual concepts and back

Geoffrey Zweig, Forrest N. Iandola, Jianfeng Gao, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Why word error rate is not a good metric for speech recognizer training for the speech translation task?

Li Deng, Alex Acero, Xiaodong He, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal filtering and smoothing for speech recognition using a stochastic target model

Li Deng, Gordon Ramsay, L. Deng, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Attentive Tensor Product Learning

Chang Liu, Li Deng, Qiuyuan Huang, 2019, AAAI.

Maximum Expected BLEU Training of Phrase and Lexicon Translation Models

Li Deng, Xiaodong He, 2012, ACL.

Tracking vocal tract resonances using an analytical nonlinear predictor and a target-guided temporal constraint

Li Deng, Alex Acero, Issam Bazzi, 2003, INTERSPEECH.

Character-level deep conflation for business data analytics

Zhe Gan, Jianfeng Gao, Li Deng, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A generalized hidden Markov model with state-conditioned trend functions of time for the speech signal

Li Deng, L. Deng, 1992, Signal Process..

Nonstationary-state hidden Markov model representation of speech signals for speech enhancement

Li Deng, Hossein Sameti, 2002, Signal Process..

A Dynamic, Feature-Based Approach Modeling and Recognition to Speech

Li Deng, 1997 .

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Accelerated Parallelizable Neural Network Learning Algorithm for Speech Recognition

Dong Yu, Li Deng, 2011, INTERSPEECH.

Use of neural network mapping and extended kalman filter to recover vocal tract resonances from the MFCC parameters of speech

Li Deng, Roberto Togneri, L. Deng, 2004, INTERSPEECH.

Investigation of full-sequence training of deep belief networks for speech recognition

Dong Yu, Li Deng, Abdel-rahman Mohamed, 2010, INTERSPEECH.

A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition

Li Deng, Hui Jiang, 2002, IEEE Trans. Speech Audio Process..

Large-Margin Minimum Classification Error Training for Large-Scale Speech Recognition Tasks

Dong Yu, Li Deng, Alex Acero, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Deep Learning for Natural Language Processing and Related Applications (Tutorial at ICASSP)

Jianfeng Gao, Li Deng, Xiaodong He, 2014 .

Deep Learning in Natural Language Generation from Images

Li Deng, Xiaodong He, Xiaodong He, 2018 .

Hierarchical partition of the articulatory state space for overlapping-feature based speech recognition

Li Deng, Jim Jian-Xiong Wu, L. Deng, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Estimating cepstrum of speech under the presence of noise using a joint prior of static and dynamic features

Li Deng, Alex Acero, Jasha Droppo, 2004, IEEE Transactions on Speech and Audio Processing.

Speech Recognition, Machine Translation, and Speech Translation—A Unified Discriminative Learning Paradigm [Lecture Notes]

Li Deng, Xiaodong He, Xiaodong He, 2011, IEEE Signal Processing Magazine.

Deep Learning for Web Search and Natural Language Processing

Jianfeng Gao, Li Deng, Xiaodong He, 2015 .

Tensor Product Generation Networks for Deep NLP Modeling

Li Deng, Qiuyuan Huang, Dapeng Wu, 2017, NAACL.

A Geometric Perspective of Large-Margin Training of Gaussian Models [Lecture Notes]

Li Deng, Lin Xiao, 2010, IEEE Signal Processing Magazine.

Adaptation of context-dependent deep neural networks for automatic speech recognition

Kaisheng Yao, Yifan Gong, Dong Yu, 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).

Computer-Aided Working Space Design for Driller Control Cab

Li Deng, Bo Chen, 2010 .

Learning Methods in Multilingual Speech Recognition

Hui Lin, Dong Yu, Li Deng, 2008, NIPS 2008.

Learning Continuous Phrase Representations for Translation Modeling

Jianfeng Gao, Li Deng, Xiaodong He, 2014, ACL.

A maximum a posteriori approach to speaker adaptation using the trended hidden Markov model

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 2001, IEEE Trans. Speech Audio Process..

A path-stack algorithm for optimizing dynamic regimes in a statistical hidden dynamic model of speech

Li Deng, Jeff Z. Ma, L. Deng, 2000, Comput. Speech Lang..

Research of organized mechanism of peers on P2P network

Li Deng, 2008 .

Joint model training

Yifan Gong, Li Deng, Reinhold Haeb-Umbach, 2015 .

Deep Generative and Discriminative Models for Speech Recognition

Li Deng, L. Deng, 2015 .

A time-synchronous phonetic decoder for a long-contextual-Span hidden trajectory model

Dong Yu, Li Deng, Xiaolong Li, 2006, INTERSPEECH.

ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, INTERSPEECH.

A Pipelined ANN Architecture for Speech Recognition

Li Deng, Mohamed I. Elmasry, Dapeng Zhang, 1994 .

Exploiting sparseness in deep neural networks for large vocabulary speech recognition

Dong Yu, Li Deng, Gang Li, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Vowel classification using a neural predictive HMM: a discriminative training approach

Mohamed I. Elmasry, Li Deng, Khaled Hassanein, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Temporal and Rate Aspects of Speech Encoding in the Auditory System: Simulation Results on TIMIT Data Using a Layered Neural Network Interfaced With a Cochlear Model

Hamid Sheikhzadeh, Li Deng, 2017 .

Teach-ware: Signal processing resources at connexions [Best of the Web]

Dong Yu, Li Deng, 2009 .

Coarticulation modeling by embedding a target-directed hidden trajectory model into HMM - model and training

Li Deng, Jian-Lai Zhou, Frank Seide, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Using collective information in semi-supervised learning for speech recognition

Dong Yu, Li Deng, Alex Acero, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speech and Language Processing for Multimodal Human-Computer Interaction

Li Deng, Alex Acero, Xuedong Huang, 2004, J. VLSI Signal Process..

Deep Learning of Grammatically-Interpretable Representations Through Question-Answering pdf

Li Deng, Xiaodong He, Hamid Palangi, 2017, ArXiv.

Signal Processing Trends in Media, Mobility, and Search [From the Editors]

Li Deng, Dan Schonfeld, 2011, IEEE Signal Process. Mag..

New types of deep neural network learning for speech recognition and related applications: an overview

Brian Kingsbury, Geoffrey E. Hinton, Li Deng, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Achievements and challenges of deep learning - from speech analysis and recognition to language and multimodal processing

Li Deng, 2014, INTERSPEECH.

A layered neural network interfaced with a cochlear model for the study of speech encoding in the auditory system

Hamid Sheikhzadeh, Li Deng, L. Deng, 1999, Comput. Speech Lang..

Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation

Dong Yu, Li Deng, Alex Acero, 2007, Comput. Speech Lang..

Ensemble deep learning for speech recognition

Li Deng, John C. Platt, L. Deng, 2014, INTERSPEECH.

Learning Semantic Representations for the Phrase Translation Model pdf

Jianfeng Gao, Li Deng, Xiaodong He, 2013, ArXiv.

Roles of Pre-Training and Fine-Tuning in Context-Dependent DBN-HMMs for Real-World Speech Recognition

Dong Yu, Li Deng, George E. Dahl, 2010 .

Nonstationary-state hidden Markov model with state-dependent time warping: application to speech recognition

Li Deng, Don X. Sun, 1994, ICSLP.

Deep Convex Net: A Scalable Architecture for Speech Pattern Classification

Dong Yu, Li Deng, L. Deng, 2011, INTERSPEECH.

A speech-centric perspective for human-computer interface

Li Deng, Alex Acero, Xuedong Huang, 2002, 2002 IEEE Workshop on Multimedia Signal Processing..

A mixture linear model with target-directed dynamics for spontaneous speech recognition

Li Deng, Jeff Z. Ma, L. Deng, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Towards non-stationary model-based noise adaptation for large vocabulary speech recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A lattice search technique for a long-contextual-span hidden trajectory model of speech

Dong Yu, Li Deng, Alex Acero, 2006, Speech Commun..

MiPad: a multimodal interaction prototype

Li Deng, Joshua Goodman, Alex Acero, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Hidden conditional random field with distribution constraints for phone classification

Dong Yu, Li Deng, Alex Acero, 2009, INTERSPEECH.

Maximum likelihood in statistical estimation of dynamic systems: Decomposition algorithm and simulation results

Xuemin Shen, Li Deng, Xuemin Shen, 1997, Signal Process..

Speech recognition using the atomic speech units constructed from overlapping articulatory features

Li Deng, Don X. Sun, L. Deng, 1994, EUROSPEECH.

Discriminative in Sequential Pattern Recognition

Wu Chou, Li Deng, Xiaodong He, 2008 .

Recurrent Neural Networks and Related Models

Dong Yu, Li Deng, L. Deng, 2015 .

A Convolutional Latent Semantic Model for Web Search

Yelong Shen, Jianfeng Gao, Li Deng, 2014 .

Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding

Yoshua Bengio, Li Deng, Xiaodong He, 2013, INTERSPEECH.

Semantic confidence calibration for spoken dialog applications

Dong Yu, Li Deng, L. Deng, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Optimization of dynamic regimes in a statistical hidden dynamic model for conversational speech recognition

Li Deng, Jeff Z. Ma, 1999, EUROSPEECH.

Structured speech modeling

Dong Yu, Li Deng, Alex Acero, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Multi-sensory microphones for robust speech detection, enhancement and recognition

Zicheng Liu, Li Deng, Zhengyou Zhang, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Exploiting variances in robust feature extraction based on a parametric model of speech distortion

Li Deng, Alex Acero, Jasha Droppo, 2002, INTERSPEECH.

Switching Dynamic System Models for Speech Articulation and Acoustics

Li Deng, L. Deng, 2004 .

Unsupervised Learning of Word Semantic Embedding using the Deep Structured Semantic Model

Jianfeng Gao, Li Deng, Xiaodong He, 2014 .

Recursive estimation of nonstationary noise using iterative stochastic approximation for robust speech recognition

Li Deng, Alex Acero, Jasha Droppo, 2003, IEEE Trans. Speech Audio Process..

Learning Input and Recurrent Weight Matrices in Echo State Networks pdf

Rabab Kreidieh Ward, Li Deng, Hamid Palangi, 2013, ArXiv.

Basic Reasoning with Tensor Product Representations pdf

Jianfeng Gao, Li Deng, Xiaodong He, 2016, ArXiv.

A Bayesian approach to speech feature enhancement using the dynamic cepstral prior

Li Deng, Alex Acero, Jasha Droppo, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Use of high-level linguistic constraints for constructing feature-based phonological model in speech recognition

Li Deng, Jiping Sun, 1998, ICSLP.

A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition

Dong Yu, Li Deng, Brian Hutchinson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Joint Learning of Distributed Representations for Images and Texts pdf

Jianfeng Gao, Li Deng, Xiaodong He, 2015, ArXiv.

Optimization in speech-centric information processing: Criteria and techniques

Li Deng, Xiaodong He, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unsupervised learning from users' error correction in speech dictation

Mei-Yuh Hwang, Dong Yu, Li Deng, 2004, INTERSPEECH.

Use of Differential Cepstra as Acoustic Features in Hidden Trajectory Modeling for Phonetic Recognition

Dong Yu, Li Deng, L. Deng, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear pdf

Jianfeng Gao, Li Deng, Lihong Li, 2016, ArXiv.

Deep Learning for Natural Language Processing: Theory and Practice (Tutorial)

Jianfeng Gao, Li Deng, Xiaodong He, 2014 .

Use of vowel duration information in a large vocabulary word recognizer

Li Deng, M. Lennig, Paul Mermelstein, 1989 .

A comparison of three non-linear observation models for noisy speech features

Li Deng, Alex Acero, Jasha Droppo, 2003, INTERSPEECH.

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

Rabab Kreidieh Ward, Yelong Shen, Jianfeng Gao, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Large vocabulary continuous speech recognition with context-dependent DBN-HMMS

Dong Yu, Li Deng, Alex Acero, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequence classification using the high-level features extracted from deep neural networks

Li Deng, Jianshu Chen, Jianshu Chen, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Sequential MAP noise estimation and a phase-sensitive model of the acoustic environment

Li Deng, Alex Acero, Jasha Droppo, 2002, INTERSPEECH.

Deep Neural Networks

Dong Yu, Li Deng, L. Deng, 2015 .

Construction of state-dependent dynamic parameters using the maximum likelihood approach: Applications to speech recognition

Li Deng, Rathinavelu Chengalvarayan, L. Deng, 1996, Signal Process..

A new look at discriminative training for hidden Markov models

Li Deng, Xiaodong He, Xiaodong He, 2007, Pattern Recognit. Lett..

Large vocabulary word recognition using context-dependent allophonic hidden Markov models☆

Li Deng, Paul Mermelstein, M. Lennig, 1990 .

Bi-directional Attention with Agreement for Dependency Parsing

Jianfeng Gao, Li Deng, Hao Fang, 2016, EMNLP.

Improvements on Mel-Frequency Cepstrum Minimum-Mean-Square-Error Noise Suppressor for Robust Speech Recognition

Yifan Gong, Dong Yu, Li Deng, 2008, 2008 6th International Symposium on Chinese Spoken Language Processing.

Feature Representation Learning in Deep Neural Networks

Dong Yu, Li Deng, 2015 .

Large-margin minimum classification error training: A theoretical risk minimization perspective

Dong Yu, Li Deng, Alex Acero, 2008, Comput. Speech Lang..

Learning with Recursive Perceptual Representations

Trevor Darrell, Li Deng, Oriol Vinyals, 2012, NIPS.

Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis

Dong Yu, Li Deng, Zhen-Hua Ling, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Design and Learning of Output Representations for Speech Recognition

Li Deng, 2013 .

Submodular Mini-Batch Training in Generative Moment Matching Networks pdf

Li Deng, Xiaodong He, Jun Qi, 2017, ArXiv.

Being deep and being dynamic - new-generation models and methodology for advancing speech technology

Li Deng, 2012, Odyssey.

Fuse Deep Neural Network and Gaussian Mixture Model Systems

Dong Yu, Li Deng, 2015 .

The MSRA machine translation system for IWSLT 2010

Mei-Yuh Hwang, Jianfeng Gao, Li Deng, 2010, IWSLT.

Variational inference and learning for segmental switching state space models of hidden speech dynamics

Li Deng, Hagai Attias, Leo J. Lee, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Evaluation of a long-contextual-Span hidden trajectory model and phonetic recognizer using a* lattice search

Dong Yu, Li Deng, Alex Acero, 2005, INTERSPEECH.

Are Sparse Representations Rich Enough for Acoustic Modeling?

Li Deng, Oriol Vinyals, Oriol Vinyals, 2012, INTERSPEECH.

Deep Neural Network-Hidden Markov Model Hybrid Systems

Dong Yu, Li Deng, L. Deng, 2015 .

Large Vocabulary Speech Recognition Using Deep Tensor Neural Networks

Dong Yu, Li Deng, Frank Seide, 2012, INTERSPEECH.

Deep Discriminative and Generative Models for speech Pattern Recognition

Li Deng, Navdeep Jaitly, L. Deng, 2016, Handbook of Pattern Recognition and Computer Vision.

A Bidirectional Target Filtering Model of Speech Coarticulation: two-stage Implementation for Phonetic Recognition

Dong Yu, Li Deng, Alex Acero, 2006 .

Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP]

Dong Yu, Li Deng, L. Deng, 2011, IEEE Signal Processing Magazine.

Incremental Bayes learning with prior evolution for tracking nonstationary noise statistics from noisy speech data

Li Deng, Alex Acero, Jasha Droppo, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Question-Answering with Grammatically-Interpretable Representations

Li Deng, Xiaodong He, Hamid Palangi, 2017, AAAI.

A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition

Yifan Gong, Dong Yu, Li Deng, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Accelerating Pseudo‐Random Number Generator for MCNP on GPU

Qingfeng Hu, Jie Liu, Li Deng, 2010 .

A theory on optimal construction of dynamic features of speech for HMM-based speech recognition

Li Deng, 1994, Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks.

The trended HMM with discriminative training for phonetic classification

Li Deng, Rathinavelu Chengalvarayan, 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

Evaluation of the SPLICE algorithm on the Aurora2 database

Li Deng, Alex Acero, Jasha Droppo, 2001, INTERSPEECH.

Towards Neural Phrase-based Machine Translation

Chong Wang, Po-Sen Huang, Li Deng, 2017, ICLR.

A Bayesian approach to the verification problem: applications to speaker verification

Li Deng, Hui Jiang, L. Deng, 2001, IEEE Trans. Speech Audio Process..

Integrated multilingual speech recognition-impact on chinese spoken language processing

Li Deng, 1998 .

A state-space model with neural-network prediction for recovering vocal tract resonances in fluent speech from Mel-cepstral coefficients

Li Deng, Roberto Togneri, 2006, Speech Commun..

A functional articulatory dynamic model for speech production

Paul W. Fieguth, Li Deng, Leo J. Lee, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Learning in the Deep-Structured Conditional Random Fields

Li Deng, Shizhen Wang, Dong Yu, 2009 .

Uncertainty decoding with SPLICE for noise robust speech recognition

Li Deng, Alex Acero, Jasha Droppo, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Automatic children's reading tutor on hand-held devices

Li Deng, Xiaolong Li, Alex Acero, 2008, INTERSPEECH.

Speech analysis and recognition using interval statistics generated from a composite auditory model

Hamid Sheikhzadeh, Li Deng, L. Deng, 1998, IEEE Trans. Speech Audio Process..

Deep Reinforcement Learning with an Unbounded Action Space pdf

Jianfeng Gao, Mari Ostendorf, Li Deng, 2015, ArXiv.

Efficient and effective algorithms for training single-hidden-layer neural networks

Dong Yu, Li Deng, L. Deng, 2012, Pattern Recognit. Lett..

Word confidence calibration using a maximum entropy model with constraints on confidence and word distributions

Jinyu Li, Dong Yu, Li Deng, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Dynamic compensation of HMM variances using the feature enhancement uncertainty computed from a parametric model of speech distortion

Li Deng, Alex Acero, Jasha Droppo, 2005, IEEE Transactions on Speech and Audio Processing.

New methods and evaluation experiments on translating TED talks in the IWSLT benchmark

Mei-Yuh Hwang, Li Deng, Alex Acero, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Rethinking of computation for future-generation, knowledge-rich speech recognition and understanding

Li Deng, L. Deng, 2009, 2009 IEEE International Conference on Multimedia and Expo.

Chapter 3: Hidden Markov Models and the Variants

Dong Yu, Li Deng, L. Deng, 2014 .

Unscented transform with online distortion estimation for HMM adaptation

Yifan Gong, Jinyu Li, Dong Yu, 2010, INTERSPEECH.

Neural Phrase-based Machine Translation pdf

Chong Wang, Po-Sen Huang, Li Deng, 2017, ArXiv.

Noise from corrupted speech log mel-spectral energies

Li Deng, Alex Acero, Jasha Droppo, 2002, INTERSPEECH.

Evaluation of SPLICE on the Aurora 2 and 3 tasks

Li Deng, Alex Acero, Jasha Droppo, 2002, INTERSPEECH.

Artificial Intelligence in the Rising Wave of Deep Learning: The Historical Path and Future Outlook [Perspectives]

Li Deng, L. Deng, 2018, IEEE Signal Processing Magazine.

Boosting attribute and phone estimation accuracies with deep neural networks for detection-based speech recognition

Chin-Hui Lee, Dong Yu, Li Deng, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

æ·±åº¦å¦ä¹ ï¼šæ–¹æ³•å’Œåº”ç”¨ (Chinese version of "Deep Learning: Methods and Applications")

Dong Yu, Li Deng, L. Deng, 2016 .

Efficient decoding strategies for conversational speech recognition using a constrained nonlinear state-space model

Li Deng, Jeff Z. Ma, L. Deng, 2003, IEEE Trans. Speech Audio Process..

Stacked Attention Networks for Image Question Answering

Alexander J. Smola, Jianfeng Gao, Li Deng, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Hidden Markov Models and the Variants

Dong Yu, Li Deng, L. Deng, 2015 .

A Neural-Symbolic Approach to Natural Language Tasks pdf

Li Deng, Qiuyuan Huang, Dapeng Wu, 2018, ArXiv.

Scaffolding Networks for Teaching and Learning to Comprehend pdf

Chong Wang, Li Deng, Lihong Li, 2017, ArXiv.

A Human Generated MAchine Reading COmprehension Dataset pdf

Jianfeng Gao, Li Deng, Tri Nguyen, 2018 .

Speech-Centric Processing: An Optimization-Oriented

Li Deng, Xiaodong He, Xiaodong He, 2013 .

Adaptation of compressed HMM parameters for resource-constrained speech recognition

Yifan Gong, Dong Yu, Li Deng, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes

Chong Wang, Li Deng, Lihong Li, 2017, NIPS.

Integrated optimization of dynamic feature parameters for hidden Markov modeling of speech

Li Deng, 1994, IEEE Signal Process. Lett..

A mixed-level switching dynamic system for continuous speech recognition

Li Deng, Jeff Z. Ma, L. Deng, 2004, Comput. Speech Lang..

High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series

Yifan Gong, Dong Yu, Li Deng, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Production models as a structural basis for automatic speech recognition

Li Deng, Gordon Ramsay, Don X. Sun, 1997, Speech Commun..

Research on Product Design Driven by Reach Area

Ling Li, Li Deng, Bo Chen, 2010, 2010 International Symposium on Computational Intelligence and Design.

Optimization Algorithms and Applications for Speech and Language Processing

Haizhou Li, Stephen J. Wright, Georg Heigold, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Towards High-Accuracy Low-Cost Noisy Robust Speech Recognition Exploiting Structured Model

Yifan Gong, Dong Yu, Li Deng, 2011 .

Deep Learning for Speech and Language Processing - From Machine Learning and Signal Processing Perspectives

Li Deng, 2015 .

Modeling spectral envelopes using restricted Boltzmann machines for statistical parametric speech synthesis

Dong Yu, Li Deng, Zhen-Hua Ling, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Deep Reinforcement Learning with a Natural Language Action Space

Jianfeng Gao, Mari Ostendorf, Li Deng, 2015, ACL.

Updated MINDS Report on Speech Recognition and Understanding, Part 2

James R. Glass, Chin-Hui Lee, Li Deng, 2009 .

Tracking nonstationary targets using a dynamical system with Markov-modulated parameters

Li Deng, Gordon Ramsay, 1995, IEEE Signal Processing Letters.

Achievements and Challenges of Deep Learning

Li Deng, Li Deng, 2015 .

Vocal‐tract length normalization for acoustic‐to‐articulatory mapping using neural networks

Li Deng, Sorin Dusan, 1999 .

Deep Learning for Natural Language Processing

Geoffrey E. Hinton, Dong Yu, Li Deng, 2021, International Journal for Research in Applied Science and Engineering Technology.

Impacto Global da Signal Processing Magazine

Ghassan AlRegib, Mihaela van der Schaar, Brendan J. Frey, 2011 .

Phonological rule set complexity as a factor in the performance of a very large vocabulary automatic word recognition system

Douglas D. O'Shaughnessy, Li Deng, Patrick Kenny, 1990 .