Jinyu Li
According to our database1,
Jinyu Li
authored at least 125 papers
between 2000 and 2019.
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Bibliography
2019
Adversarial Speaker Adaptation.
CoRR, 2019
Adversarial Speaker Verification.
CoRR, 2019
Attentive Adversarial Learning for Domain-Invariant Training.
CoRR, 2019
Conditional Teacher-Student Learning.
CoRR, 2019
Speaker Adaptation for End-to-End CTC Models.
CoRR, 2019
2018
Progressive Joint Modeling in Unsupervised Single-Channel Overlapped Speech Recognition.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2018
Advancing Acoustic-to-Word CTC Model with Attention and Mixed-Units.
CoRR, 2018
Cycle-Consistent Speech Enhancement.
CoRR, 2018
Adversarial Feature-Mapping for Speech Enhancement.
CoRR, 2018
Layer Trajectory LSTM.
CoRR, 2018
Recent Progresses in Deep Learning based Acoustic Models (Updated).
CoRR, 2018
Developing Far-Field Speaker System Via Teacher-Student Learning.
CoRR, 2018
Speaker-Invariant Training via Adversarial Learning.
CoRR, 2018
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation.
CoRR, 2018
Cracking the cocktail party problem by multi-beam deep attractor network.
CoRR, 2018
Advancing Acoustic-to-Word CTC Model.
CoRR, 2018
Advancing Connectionist Temporal Classification With Attention Modeling.
CoRR, 2018
Global Mittag-Leffler stabilization of fractional-order complex-valued memristive neural networks.
Applied Mathematics and Computation, 2018
Speaker Adaptation for End-to-End CTC Models.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Exploring Layer Trajectory LSTM with Depth Processing Units and Attention.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Multi-Channel Overlapped Speech Recognition with Location Guided Speech Extraction Network.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Study on Vehicular Adaptive Cruise Control in Complicated Driving Conditions.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
Adversarial Feature-Mapping for Speech Enhancement.
Proceedings of the Interspeech 2018, 2018
Cycle-Consistent Speech Enhancement.
Proceedings of the Interspeech 2018, 2018
Layer Trajectory LSTM.
Proceedings of the Interspeech 2018, 2018
Improved Training for Online End-to-end Speech Recognition Systems.
Proceedings of the Interspeech 2018, 2018
Domain and Speaker Adaptation for Cortana Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Adversarial Teacher-Student Learning for Unsupervised Domain Adaptation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Speaker-Invariant Training Via Adversarial Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Developing Far-Field Speaker System Via Teacher-Student Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Advancing Acoustic-to-Word CTC Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Advancing Connectionist Temporal Classification with Attention Modeling.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Acoustic-To-Word Model Without OOV.
CoRR, 2017
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition.
CoRR, 2017
Improved training for online end-to-end speech recognition systems.
CoRR, 2017
Large-Scale Domain Adaptation via Teacher-Student Learning.
CoRR, 2017
End-to-End Attention based Text-Dependent Speaker Verification.
CoRR, 2017
Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition.
CoRR, 2017
Structural prediction of the interaction of the tumor suppressor p27KIP1 with cyclin A/CDK2 identifies a novel catalytically relevant determinant.
BMC Bioinformatics, 2017
Large-Scale Domain Adaptation via Teacher-Student Learning.
Proceedings of the Interspeech 2017, 2017
Improving Mask Learning Based Speech Enhancement System with Restoration Layers and Residual Connection.
Proceedings of the Interspeech 2017, 2017
Extended low-rank plus diagonal adaptation for deep and recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Improved cepstra minimum-mean-square-error noise reduction algorithm for robust speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Unsupervised adaptation with domain separation networks for robust speech recognition.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Acoustic-to-word model without OOV.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Cracking the cocktail party problem by multi-beam deep attractor network.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Challenges in and Solutions to Deep Learning Network Acoustic Modeling in Speech Recognition Products at Microsoft.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017
2016
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2016
Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation.
CoRR, 2016
End-to-End attention based text-dependent speaker verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016
Deep Convolutional Neural Networks with Layer-Wise Context Expansion and Attention.
Proceedings of the Interspeech 2016, 2016
Low-rank plus diagonal adaptation for deep neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Recurrent support vector machines for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Simplifying long short-term memory acoustic models for fast training and decoding.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Exploring multidimensional lstms for large vocabulary ASR.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
SVD-based universal DNN modeling for multiple scenarios.
Proceedings of the INTERSPEECH 2015, 2015
Maximum a posteriori adaptation of network parameters in deep models.
Proceedings of the INTERSPEECH 2015, 2015
Rapid adaptation for deep neural networks through multi-task learning.
Proceedings of the INTERSPEECH 2015, 2015
Investigating online low-footprint speaker adaptation using generalized linear regression and click-through data.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Small-footprint high-performance deep neural network-based speech recognition using split-VQ.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
An analysis of convolutional neural networks for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
LSTM time and frequency recurrence for automatic speech recognition.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015
2014
An Overview of Noise-Robust Automatic Speech Recognition.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2014
Molecular Simulation-Based Structural Prediction of Protein Complexes in Mass Spectrometry: The Human Insulin Dimer.
PLoS Computational Biology, 2014
Comparison of human septal nuclei MRI measurements using automated segmentation and a new manual protocol based on histology.
NeuroImage, 2014
Robustness of globally exponential stability of delayed neural networks in the presence of random disturbances.
Neural Computing and Applications, 2014
Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance.
J. Applied Mathematics, 2014
Variable-activation and variable-input deep neural network for robust speech recognition.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014
Variable-component deep neural network for robust speech recognition.
Proceedings of the INTERSPEECH 2014, 2014
Learning small-size DNN with output-distribution-based criteria.
Proceedings of the INTERSPEECH 2014, 2014
Beyond cross-entropy: towards better frame-level objective functions for deep neural network training in automatic speech recognition.
Proceedings of the INTERSPEECH 2014, 2014
Feature space maximum a posteriori linear regression for adaptation of deep neural networks.
Proceedings of the INTERSPEECH 2014, 2014
Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network.
Proceedings of the IEEE International Conference on Acoustics, 2014
Feature compensation using linear combination of speaker and environment dependent correction vectors.
Proceedings of the IEEE International Conference on Acoustics, 2014
Investigation of maxout networks for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014
Factorized adaptation for deep neural network.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems.
IEEE Trans. Audio, Speech & Language Processing, 2013
Model-based margin estimation for hidden Markov model learning and generalisation.
IET Signal Processing, 2013
Feature Learning in Deep Neural Networks - A Study on Speech Recognition Tasks
Proceedings of the 1st International Conference on Learning Representations, 2013
Restructuring of deep neural network acoustic models with singular value decomposition.
Proceedings of the INTERSPEECH 2013, 2013
Investigations on hessian-free optimization for cross-entropy training of deep neural networks.
Proceedings of the INTERSPEECH 2013, 2013
Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers.
Proceedings of the IEEE International Conference on Acoustics, 2013
Recent advances in deep learning for speech research at Microsoft.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Improving wideband speech recognition using mixed-bandwidth training data in CD-DNN-HMM.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012
Hermitian based Hidden Activation Functions for Adaptation of Hybrid HMM/ANN Models.
Proceedings of the INTERSPEECH 2012, 2012
Efficient VTS Adaptation Using Jacobian Approximation.
Proceedings of the INTERSPEECH 2012, 2012
Lasso environment model combination for robust speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Improvements to VTS feature enhancement.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Feature Normalization Using Structured Full Transforms for Robust Speech Recognition.
Proceedings of the INTERSPEECH 2011, 2011
Maximum likelihood adaptation of histogram equalization with constraint for robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
A Study on the Generalization Capability of Acoustic Models for Robust Speech Recognition.
IEEE Trans. Audio, Speech & Language Processing, 2010
Limit Equilibrium Analysis of the Influence of Matric Suction on Unsaturated Soil Slope Stability.
JCIT, 2010
Unscented transform with online distortion estimation for HMM adaptation.
Proceedings of the INTERSPEECH 2010, 2010
Shrinkage model adaptation in automatic speech recognition.
Proceedings of the INTERSPEECH 2010, 2010
Word confidence calibration using a maximum entropy model with constraints on confidence and word distributions.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
A unified framework of HMM adaptation with joint compensation of additive and convolutive distortions.
Computer Speech & Language, 2009
Soft margin estimation on improving environment structures for ensemble speaker and speaking environment modeling.
Proceedings of the 3rd International Universal Communication Symposium, 2009
A study on soft margin estimation of linear regression parameters for speaker adaptation.
Proceedings of the INTERSPEECH 2009, 2009
Ensemble speaker and speaking environment modeling approach with advanced online estimation process.
Proceedings of the IEEE International Conference on Acoustics, 2009
A study on hidden Markov model's generalization capability for speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
Soft margin estimation for automatic speech recognition.
PhD thesis, 2008
A Multiclass Machine Learning Approach to Credit Rating Prediction.
Proceedings of the International Symposium on Information Processing, 2008
Soft margin estimation with various separation levels for LVCSR.
Proceedings of the INTERSPEECH 2008, 2008
On a generalization of margin-based discriminative training to robust speech recognition.
Proceedings of the INTERSPEECH 2008, 2008
Adaptation of compressed HMM parameters for resource-constrained speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008
HMM adaptation using a phase-sensitive acoustic distortion model for environment-robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008
A cooperative engagement system based on dynamic workflow.
Proceedings of the 12th International Conference on CSCW in Design, 2008
2007
Approximate Test Risk Bound Minimization Through Soft Margin Estimation.
IEEE Trans. Audio, Speech & Language Processing, 2007
Soft margin feature extraction for automatic speech recognition.
Proceedings of the INTERSPEECH 2007, 2007
Detection-based ASR in the automatic speech attribute transcription project.
Proceedings of the INTERSPEECH 2007, 2007
Approximate Test Risk Minimization Through Soft Margin Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2007
A study on soft margin estimation for LVCSR.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
High-performance hmm adaptation with joint compensation of additive and convolutive distortions via Vector Taylor Series.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
2006
Language Recognition Based on Score Distribution Feature Vectors and Discriminative Classifier Fusion.
Proceedings of the Odyssey 2006, 2006
A study on lattice rescoring with knowledge scores for automatic speech recognition.
Proceedings of the INTERSPEECH 2006, 2006
Soft margin estimation of hidden Markov model parameters.
Proceedings of the INTERSPEECH 2006, 2006
2005
Application of EalphaNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005
A study on separation between acoustic models and its applications.
Proceedings of the INTERSPEECH 2005, 2005
On designing and evaluating speech event detectors.
Proceedings of the INTERSPEECH 2005, 2005
A Study on Knowledge Source Integration for Candidate Rescoring in Automatic Speech Recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
2004
Double Gaussian based feature normalization for robust speech recognition.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004
A complexity reduction of ETSI advanced front-end for DSR.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Dimensionality reduction using MCE-optimized LDA transformation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
2001
Relax frame independence assumption for standard hmms by state dependent auto-regressive feature models.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
A novel search algorithm for LSF VQ.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000