Jen-Tzung Chien

Orcid: 0000-0003-3466-8941

Affiliations:
  • National Chiao Tung University, Taiwan


According to our database1, Jen-Tzung Chien authored at least 254 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Flow-Based Disentanglement.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
Bayesian asymmetric quantized neural networks.
Pattern Recognit., July, 2023

Hierarchical Reinforcement Learning With Guidance for Multi-Domain Dialogue Policy.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Learning Continuous-Time Dynamics With Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Attention-Guided Adaptation for Code-Switching Speech Recognition.
CoRR, 2023

Contrastive Speaker Embedding With Sequential Disentanglement.
CoRR, 2023

Parameter-Efficient Learning for Text-to-Speech Accent Adaptation.
CoRR, 2023

Learning Outlier-Aware Representation with Synthetic Boundary Samples.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Variational Disentangled Attention and Regularization for Visual Dialog.
Proceedings of the International Joint Conference on Neural Networks, 2023

Variational Skill Embeddings for Meta Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Self-Supervised Adversarial Training for Contrastive Sentence Embedding.
Proceedings of the IEEE International Conference on Acoustics, 2023

Meta Learning for Domain Agnostic Soft Prompt.
Proceedings of the IEEE International Conference on Acoustics, 2023

Adversarial Augmentation For Adapter Learning.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Learning to Enhance the Position Embedding and Coherence.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Learning Adapters for Code-Switching Speech Recognition.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Learning Meta Soft Prompt for Few-Shot Language Models.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Collaborative Pseudo Labeling for Prompt-Based Learning.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

Hierarchical and Self-Attended Sequence Autoencoder.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Low-Resource Speech Synthesis with Speaker-Aware Embedding.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

Bayesian Transformer Using Disentangled Mask Attention.
Proceedings of the Interspeech 2022, 2022

AVAST: Attentive Variational State Tracker in a Reinforced Navigator.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Adversarial Mask Transformer for Sequential Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Augmentation Strategy Optimization for Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Online Compressive Transformer for End-to-End Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Stochastic Temporal Difference Learning for Sequence Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Collaborative Regularization for Bidirectional Domain Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2021

Synthesis of Chest-Lead ECG Using Temporal Convolutional Networks.
Proceedings of the ICGSP 2021: The 5th International Conference on Graphics and Signal Processing, Nagoya Japan, June 25, 2021

Variational Dialogue Generation with Normalizing Flows.
Proceedings of the IEEE International Conference on Acoustics, 2021

Attribute Decomposition for Flow-Based Domain Mapping.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dualformer: A Unified Bidirectional Sequence-to-Sequence Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Continuous-Time Self-Attention in Neural Differential Equation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Corrective Guidance and Learning for Dialogue Management.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multitask Generative Adversarial Imitation Learning for Multi-Domain Dialogue System.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Variational Sequential Modeling, Learning and Understanding.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Model-Based Soft Actor-Critic.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Self-Supervised Learning for Online Speaker Diarization.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Multi-Resolution Convolutional Recurrent Networks.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Continuous-Time Attention for Sequential Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Guest Editorial: Modern Speech Processing and Learning.
J. Signal Process. Syst., 2020

Variational Domain Adversarial Learning With Mutual Information Maximization for Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography.
Sensors, 2020

The Role of Accent and Grouping Structures in Estimating Musical Meter.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020

Deep Bayesian Data Mining.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Deep Bayesian Multimedia Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Strategies for End-to-End Text-Independent Speaker Verification.
Proceedings of the Interspeech 2020, 2020

Stochastic Curiosity Exploration for Dialogue Systems.
Proceedings of the Interspeech 2020, 2020

Stochastic Convolutional Recurrent Networks for Language Modeling.
Proceedings of the Interspeech 2020, 2020

Amortized Mixture Prior for Variational Sequence Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stochastic Adversarial Learning for Domain Adaptation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stochastic Curiosity Maximizing Exploration.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stochastic Convolutional Recurrent Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Bayesian Learning for Neural Network Compression.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

M-ARY Quantized Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Information Maximized Variational Domain Adversarial Learning for Speaker Verification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Learning and Regularization in Variational Recurrent Autoencoder.
Proceedings of the 28th European Signal Processing Conference, 2020

Exploring State Transition Uncertainty in Variational Reinforcement Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

Neural Bayesian Information Processing.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Supportive and Self Attentions for Image Caption.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

Multiple Target Prediction for Deep Reinforcement Learning.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019
Image-text dual neural network with decision strategy for small-sample image classification.
Neurocomputing, 2019

Neural adversarial learning for speaker recognition.
Comput. Speech Lang., 2019

Deep Bayesian Mining, Learning and Understanding.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Variational Domain Adversarial Learning for Speaker Verification.
Proceedings of the Interspeech 2019, 2019

Self Attention in Variational Sequential Learning for Summarization.
Proceedings of the Interspeech 2019, 2019

Meta Learning for Hyperparameter Optimization in Dialogue System.
Proceedings of the Interspeech 2019, 2019

Semi-supervised Nuisance-attribute Networks for Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Variational and Hierarchical Recurrent Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2019

Stochastic Markov Recurrent Neural Network for Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Partially Adversarial Learning and Adaptation.
Proceedings of the 27th European Signal Processing Conference, 2019

Variational Bayesian GAN.
Proceedings of the 27th European Signal Processing Conference, 2019

Markov Recurrent Neural Network Language Model.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Bayesian Adversarial Learning for Speaker Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Stochastic Fusion for Multi-stream Neural Network in Video Classification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Deep Bayesian Natural Language Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, 2019

2018
Tensor-Factorized Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Bayesian Nonparametric Learning for Hierarchical and Sparse Topics.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Deep Unfolding for Topic Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Recent advances in machine learning for non-Gaussian data processing.
Neurocomputing, 2018

Latent Dirichlet mixture model.
Neurocomputing, 2018

Reducing Domain Mismatch by Maximum Mean Discrepancy Based Autoencoders.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Adversarial Learning and Augmentation for Speaker Recognition.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Markov Recurrent Neural Networks.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Supportive Attention in End-To-End Memory Networks.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Convolutional Neural Turing Machine for Speech Separation.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Recall Neural Network for Source Separation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Spectro-Temporal Neural Factorization for Speech Dereverberation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Bayesian Learning and Understanding.
Proceedings of the COLING 2018, 2018

2017
DNN-Driven Mixture of PLDA for Robust Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Fast scoring for PLDA with uncertainty propagation via i-vector grouping.
Comput. Speech Lang., 2017

Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification.
Comput. Speech Lang., 2017

Memory augmented neural network for source separation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Adversarial domain separation and adaptation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Deep Neural Factorization for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Stochastic Recurrent Neural Network for Speech Recognition.
Proceedings of the Interspeech 2017, 2017

Variational Recurrent Neural Networks for Speech Separation.
Proceedings of the Interspeech 2017, 2017

Power-law stochastic neighbor embedding.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Variational manifold learning for speaker recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Image-Text Dual Model for Small-Sample Image Classification.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

Adversarial manifold learning for speaker recognition.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016
Bayesian Recurrent Neural Network for Language Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2016

Hierarchical Theme and Topic Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2016

Mixture of PLDA for Noise Robust I-Vector Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Bayesian Factorization and Learning for Monaural Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Deep neural network driven mixture of PLDA for robust i-vector speaker verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Dirichlet mixture allocation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Variance reduction for optimization in speech recognition.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Bayesian learning for speech dereverberation.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Deep long short-term memory networks for speech recognition.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

Discriminative Layered Nonnegative Matrix Factorization for Speech Separation.
Proceedings of the Interspeech 2016, 2016

Hybrid Accelerated Optimization for Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Discriminative deep recurrent neural networks for monaural speech separation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep unfolding inference for supervised topic model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Deep discriminative manifold learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Hierarchical Pitman-Yor-Dirichlet Language Model.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Laplace Group Sensing for Acoustic Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Deep semi-supervised learning for domain adaptation.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Tensor classification network.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Layered nonnegative matrix factorization for speech separation.
Proceedings of the INTERSPEECH 2015, 2015

Modulation Wiener filter for improving speech intelligibility.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Deep recurrent regularization neural network for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

The shared dirichlet priors for bayesian language modeling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Bayesian Speech and Language Processing
Cambridge University Press, ISBN: 9781107295360, 2015

2014
Bayesian Sparse Topic Model.
J. Signal Process. Syst., 2014

Tikhonov regularization for deep neural network acoustic modeling.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Bayesian recurrent neural network language model.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Bayesian Singing-Voice Separation.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Rapid bayesian learning for recurrent neural network language model.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014

Bayesian factorization and selection for speech and music separation.
Proceedings of the INTERSPEECH 2014, 2014

Binary mask estimation based on frequency modulations.
Proceedings of the INTERSPEECH 2014, 2014

The nested indian buffet process for flexible topic modeling.
Proceedings of the INTERSPEECH 2014, 2014

2013
Nonstationary Source Separation Using Sequential and Variational Bayesian Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

Bayesian group sparse learning for music source separation.
EURASIP J. Audio Speech Music. Process., 2013

Hierarchical theme and topic model for summarization.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Hierarchical pitman-yor and dirichlet process for language model.
Proceedings of the INTERSPEECH 2013, 2013

Bayesian latent variable models for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive processing and learning for audio source separation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013

2012
Introduction to the Special Section on Deep Learning for Speech and Language Processing.
IEEE Trans. Speech Audio Process., 2012

Bayesian Sensing Hidden Markov Models.
IEEE Trans. Speech Audio Process., 2012

Multi-View and Multi-Objective Semi-Supervised Learning for HMM-Based Automatic Speech Recognition.
IEEE Trans. Speech Audio Process., 2012

Convex Divergence ICA for Blind Source Separation.
IEEE Trans. Speech Audio Process., 2012

Topic-Based Hierarchical Segmentation.
IEEE Trans. Speech Audio Process., 2012

Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances.
IEEE Signal Process. Mag., 2012

Latent Dirichlet learning for hierarchical segmentation.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Bayesian nonparametric language models.
Proceedings of the 8th International Symposium on Chinese Spoken Language Processing, 2012

Bayesian Group Sparse Learning for Nonnegative Matrix Factorization.
Proceedings of the INTERSPEECH 2012, 2012

Group Sparse Hidden Markov Models for Speech Recognition.
Proceedings of the INTERSPEECH 2012, 2012

Recent developments in large vocabulary continuous speech recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011
Dirichlet Class Language Models for Speech Recognition.
IEEE Trans. Speech Audio Process., 2011

Bayesian feature selection for sparse topic model.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Bayesian nonparametric modeling of hierarchical topics and sentences.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Discriminative training for Bayesian sensing hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2011

Bayesian sensing hidden Markov models for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Nonstationary and temporally correlated source separation using Gaussian process.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2011

Some properties of Bayesian sensing hidden Markov models.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Joint acoustic and language modeling for speech recognition.
Speech Commun., 2010

Adaptive segment model for spoken document retrieval.
Proceedings of the 7th International Symposium on Chinese Spoken Language Processing, 2010

Online Gaussian process for nonstationary speech separation.
Proceedings of the INTERSPEECH 2010, 2010

A new topic-bridged model for transfer learning.
Proceedings of the IEEE International Conference on Acoustics, 2010

Variational inference for conditional random fields.
Proceedings of the IEEE International Conference on Acoustics, 2010

A new nonnegative matrix factorization for independent component analysis.
Proceedings of the IEEE International Conference on Acoustics, 2010

Online Bayesian learning for dynamic source separation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Topic cache language model for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Recursive Bayesian Linear Regression for Adaptive Classification.
IEEE Trans. Signal Process., 2009

Minimum Rank Error Language Modeling.
IEEE Trans. Speech Audio Process., 2009

Acoustic Factor Analysis for Streamed Hidden Markov Modeling.
IEEE Trans. Speech Audio Process., 2009

Factor analyzed HMM topology for speech recognition.
Proceedings of the INTERSPEECH 2009, 2009

Nonstationary latent Dirichlet allocation for speech recognition.
Proceedings of the INTERSPEECH 2009, 2009

An evidence framework for Bayesian learning of continuous-density hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2009

Independent component analysis for noisy speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009

Bayesian large margin hidden Markov models for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009

Latent Dirichlet learning for document summarization.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Adaptive Bayesian Latent Semantic Analysis.
IEEE Trans. Speech Audio Process., 2008

Factor Analyzed Subspace Modeling and Selection.
IEEE Trans. Speech Audio Process., 2008

Maximum Confidence Hidden Markov Modeling for Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Continuous topic language modeling for speech recognition.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

Latent dirichlet language model for speech recognition.
Proceedings of the 2008 IEEE Spoken Language Technology Workshop, 2008

Language Model Adaptation for Relevance Feedback in Information Retrieval.
Proceedings of the 6th International Symposium on Chinese Spoken Language Processing, 2008

Bayesian latent topic clustering model.
Proceedings of the INTERSPEECH 2008, 2008

Adaptive HMM topology for speech recognition.
Proceedings of the INTERSPEECH 2008, 2008

Graphical modeling of conditional random fields for human motion recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

Reliable feature selection for language model adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2008

A new mutual information measure for independent component alalysis.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
貝氏主題混合資訊檢索模型 (Bayesian Topic Mixture Model for Information Retrieval) [In Chinese].
Proceedings of the 19th Conference on Computational Linguistics and Speech Processing, 2007

Structural Bayesian language modeling and adaptation.
Proceedings of the INTERSPEECH 2007, 2007

Minimum rank error training for language modeling.
Proceedings of the INTERSPEECH 2007, 2007

Predictive minimum Bayes risk classification for robust speech recognition.
Proceedings of the INTERSPEECH 2007, 2007

Recursive Bayesian Regression Modeling and Learning.
Proceedings of the IEEE International Conference on Acoustics, 2007

Factor analysis of acoustic features for streamed hidden Markov modeling.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006
Aggregate a posteriori linear regression adaptation.
IEEE Trans. Speech Audio Process., 2006

A new independent component analysis for speech recognition and separation.
IEEE Trans. Speech Audio Process., 2006

Association pattern language modeling.
IEEE Trans. Speech Audio Process., 2006

A Maximum Entropy Approach for Semantic Language Modeling.
Int. J. Comput. Linguistics Chin. Lang. Process., 2006

鑑別性事前資訊應用於強健性語音辨識 (Robust Speech Recognition Using Discriminative Prior Statistics) [In Chinese].
Proceedings of the 18th Conference on Computational Linguistics and Speech Processing, 2006

Subspace modeling and selection for noisy speech recognition.
Proceedings of the INTERSPEECH 2006, 2006

Maximum Confidence Hidden Markov Modeling.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Maximum Entropy Modeling of Acoustic and Linguistic Features.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Towards Optimal Bayes Decision for Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Predictive hidden Markov model selection for speech recognition.
IEEE Trans. Speech Audio Process., 2005

Decision tree State tying using cluster validity criteria.
IEEE Trans. Speech Audio Process., 2005

Car Speech Enhancement Using a Microphone Array.
Int. J. Speech Technol., 2005

TAICAR-The Collection and Annotation of an In-Car Speech Database Created in Taiwan.
Int. J. Comput. Linguistics Chin. Lang. Process., 2005

Perceptual Factor Analysis for Speech Enhancement.
Proceedings of the 17th Conference on Computational Linguistics and Speech Processing, 2005

Discriminative maximum entropy language model for speech recognition.
Proceedings of the INTERSPEECH 2005, 2005

Bayesian learning for latent semantic analysis.
Proceedings of the INTERSPEECH 2005, 2005

Nonsingular discriminant feature extraction for face recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Aggregate a Posteriori Linear Regression for Speaker Adaptation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Independent component analysis using nonparametric likelihood ratio criterion.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Use of Microphone Array and Model Adaptation for Hands-Free Speech Acquisition and Recognition.
J. VLSI Signal Process., 2004

Editorial.
Int. J. Speech Technol., 2004

Latent Semantic Modeling and Smoothing of Chinese Language.
Int. J. Comput. Linguistics Chin. Lang. Process., 2004

聚集事後機率線性迴歸調適演算法應用於語音辨識 (Aggregate a Posteriori Linear Regression for Speech Recognition) [In Chinese].
Proceedings of the 16th Conference on Computational Linguistics and Speech Processing, 2004

具相關資訊回饋能力之貝氏混合式機率檢索模型 (Using Relevance Feedback in Bayesian Probabilistic Mixture Retrieval Model) [In Chinese].
Proceedings of the 16th Conference on Computational Linguistics and Speech Processing, 2004

A new eigenvoice approach to speaker adaptation.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

A maximum entropy approach for integrating semantic information in statistical language models.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

On latent semantic language modeling and smoothing.
Proceedings of the INTERSPEECH 2004, 2004

Speaker identification using probabilistic PCA model selection.
Proceedings of the INTERSPEECH 2004, 2004

Mining of association patterns for language modeling.
Proceedings of the INTERSPEECH 2004, 2004

Bayesian duration modeling and learning for speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Bayesian learning of speech duration models.
IEEE Trans. Speech Audio Process., 2003

Linear regression based Bayesian predictive classification for speech recognition.
IEEE Trans. Speech Audio Process., 2003

Predictive hidden Markov model selection for decision tree state tying.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Quasi-Bayes linear regression for sequential learning of hidden Markov models.
IEEE Trans. Speech Audio Process., 2002

A Bayesian prediction approach to robust speech recognition and online environmental learning.
Speech Commun., 2002

Adaptive hierarchy of hidden Markov models for transformation-based adaptation.
Speech Commun., 2002

Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Compact decision trees with cluster validity for speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Transformation-based Bayesian predictive classification using online prior evolution.
IEEE Trans. Speech Audio Process., 2001

使用關聯法則為主之語言模型於擷取長距離中文文字關聯性 (Association Rule Based Language Models for Discovering Long Distance Dependency in Chinese) [In Chinese].
Proceedings of the 14th Conference on Computational Linguistics and Speech Processing, 2001

Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Online speaker adaptation based on quasi-Bayes linear regression.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters.
Speech Commun., 2000

結合麥克風陣列及模型調整技術之遠距離語音辨識系統 (Far-Distant Speech Recognition System Using Combined Techniques of Microphone Array and Model Adaptation)[In Chinese].
Proceedings of the 13th Conference on Computational Linguistics and Speech Processing, 2000

具有累進學習能力之貝氏預測法則在汽車語音辨識之應用 (Bayesian Predictive Classification with Incremental Learning Capability for Car Speech Recognition) [In Chinese].
Proceedings of the 13th Conference on Computational Linguistics and Speech Processing, 2000

Transformation-based Bayesian predictive classification for online environmental learning and robust speech recognition.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Online hierarchical transformation of hidden Markov models for speech recognition.
IEEE Trans. Speech Audio Process., 1999

音框同步之雜訊補償方法在汽車語音辨識之應用 (Frame Synchronous Noise Compensation for Car Speech Recognition) [In Chinese].
Proceedings of the 12th Research on Computational Linguistics Conference, 1999

Extraction of reliable transformation parameters for unsupervised speaker adaptation.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

N-best based supervised and unsupervised adaptation for native and non-native speakers in cars.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Phone-dependent channel compensated hidden Markov model for telephone speech recognition.
IEEE Signal Process. Lett., 1998

A novel projection-based likelihood measure for noisy speech recognition.
Speech Commun., 1998

On-line hierarchical transformation of hidden Markov models for speaker adaptation.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

1997
A hybrid algorithm for speaker adaptation using MAP transformation and adaptation.
IEEE Signal Process. Lett., 1997

Telephone speech recognition based on Bayesian adaptation of hidden Markov models.
Speech Commun., 1997

Bayesian affine transformation of HMM parameters for instantaneous and supervised adaptation in telephone speech recognition.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997

Improved Bayesian learning of hidden Markov models for speaker adaptation.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Estimation of channel bias for telephone speech recognition.
Proceedings of the 4th International Conference on Spoken Language Processing, 1996

Noisy speech recognition using variance adapted likelihood measure.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Channel estimation for reference model adaptation in telephone speech recognition.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995


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