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Jen-Tzung Chien
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- affiliation: National Chiao Tung University, Taiwan
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2020 – today
- 2024
- [j70]Hsin-Yi Lin
, Huan-Hsin Tseng
, Jen-Tzung Chien
:
On the Attractive and Repulsive Forces of Generalized Stochastic Neighbor Embedding With Alpha-Divergence. IEEE Access 12: 90380-90394 (2024) - [j69]Youzhi Tu
, Man-Wai Mak
, Jen-Tzung Chien
:
Contrastive Self-Supervised Speaker Embedding With Sequential Disentanglement. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2704-2715 (2024) - [j68]Jen-Tzung Chien
, Sheng-Jhe Huang:
Learning Flow-Based Disentanglement. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2390-2402 (2024) - [c191]Jen-Tzung Chien, Yuan-An Chen:
Towards a Unified View of Adversarial Training: A Contrastive Perspective. ICASSP 2024: 5365-5369 - [c190]Bobbi Aditya, Mahdin Rohmatillah, Liang-Hsuan Tai, Jen-Tzung Chien:
Attention-Guided Adaptation for Code-Switching Speech Recognition. ICASSP 2024: 10256-10260 - [c189]Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien:
Contrastive Speaker Embedding With Sequential Disentanglement. ICASSP 2024: 10891-10895 - [c188]Mahdin Rohmatillah, Jen-Tzung Chien:
Revise the NLU: A Prompting Strategy for Robust Dialogue System. ICASSP 2024: 10956-10960 - [c187]Chong-Xin Gan, Man-Wai Mak, Weiwei Lin, Jen-Tzung Chien:
Asymmetric Clean Segments-Guided Self-Supervised Learning for Robust Speaker Verification. ICASSP 2024: 11081-11085 - 2023
- [j67]Jen-Tzung Chien
, Yi-Hsiang Chen:
Learning Continuous-Time Dynamics With Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1906-1918 (2023) - [j66]Jen-Tzung Chien
, Su-Ting Chang:
Bayesian asymmetric quantized neural networks. Pattern Recognit. 139: 109463 (2023) - [j65]Mahdin Rohmatillah
, Jen-Tzung Chien
:
Hierarchical Reinforcement Learning With Guidance for Multi-Domain Dialogue Policy. IEEE ACM Trans. Audio Speech Lang. Process. 31: 748-761 (2023) - [c186]Jen-Tzung Chien
, Chien-Ching Chen:
Collaborative Pseudo Labeling for Prompt-Based Learning. APSIPA ASC 2023: 51-56 - [c185]Jen-Tzung Chien
, Ming-Yen Chen, Jing-Hao Xue:
Learning Meta Soft Prompt for Few-Shot Language Models. APSIPA ASC 2023: 57-62 - [c184]Chun-Yi He, Jen-Tzung Chien
:
Learning Adapters for Code-Switching Speech Recognition. APSIPA ASC 2023: 344-349 - [c183]Ting-Jia Shu, Jen-Tzung Chien
:
Learning to Enhance the Position Embedding and Coherence. APSIPA ASC 2023: 881-886 - [c182]Jen-Tzung Chien
, Wei-Yu Sun:
Adversarial Augmentation For Adapter Learning. ASRU 2023: 1-7 - [c181]Ming-Yen Chen, Mahdin Rohmatillah, Ching-Hsien Lee, Jen-Tzung Chien
:
Meta Learning for Domain Agnostic Soft Prompt. ICASSP 2023: 1-5 - [c180]Jen-Tzung Chien
, Yuan-An Chen:
Self-Supervised Adversarial Training for Contrastive Sentence Embedding. ICASSP 2023: 1-5 - [c179]Jen-Tzung Chien
, Weiwei Lai:
Variational Skill Embeddings for Meta Reinforcement Learning. IJCNN 2023: 1-8 - [c178]Jen-Tzung Chien
, Hsiu-Wei Tien:
Variational Disentangled Attention and Regularization for Visual Dialog. IJCNN 2023: 1-9 - [c177]Mahdin Rohmatillah, Bobbi Aditya, Li-Jen Yang, Bryan Gautama Ngo, Willianto Sulaiman, Jen-Tzung Chien:
Promoting Mental Self-Disclosure in a Spoken Dialogue System. INTERSPEECH 2023: 670-671 - [c176]Jen-Tzung Chien
, Shang-En Li:
Contrastive Disentangled Learning for Memory-Augmented Transformer. INTERSPEECH 2023: 2958-2962 - [c175]Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien
:
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. INTERSPEECH 2023: 4354-4358 - [c174]Jen-Tzung Chien
, Kuan Chen:
Learning Outlier-Aware Representation with Synthetic Boundary Samples. MLSP 2023: 1-6 - [i4]Li-Jen Yang, Chao-Han Huck Yang, Jen-Tzung Chien:
Parameter-Efficient Learning for Text-to-Speech Accent Adaptation. CoRR abs/2305.11320 (2023) - [i3]Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien:
Contrastive Speaker Embedding With Sequential Disentanglement. CoRR abs/2309.13253 (2023) - [i2]Bobbi Aditya, Mahdin Rohmatillah, Liang-Hsuan Tai, Jen-Tzung Chien:
Attention-Guided Adaptation for Code-Switching Speech Recognition. CoRR abs/2312.08856 (2023) - 2022
- [j64]Jen-Tzung Chien
, Chun-Wei Wang:
Hierarchical and Self-Attended Sequence Autoencoder. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4975-4986 (2022) - [j63]Longxin Li, Man-Wai Mak
, Jen-Tzung Chien
:
Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2236-2245 (2022) - [c173]Hou Lio, Shang-En Li, Jen-Tzung Chien
:
Adversarial Mask Transformer for Sequential Learning. ICASSP 2022: 4178-4182 - [c172]Chang-Ting Chu, Mahdin Rohmatillah
, Ching-Hsien Lee, Jen-Tzung Chien
:
Augmentation Strategy Optimization for Language Understanding. ICASSP 2022: 7952-7956 - [c171]Je-Wei Jang, Mahdin Rohmatillah, Jen-Tzung Chien:
AVAST: Attentive Variational State Tracker in a Reinforced Navigator. AACL/IJCNLP (1) 2022: 424-433 - [c170]Jen-Tzung Chien
, Yu-Han Huang:
Bayesian Transformer Using Disentangled Mask Attention. INTERSPEECH 2022: 1761-1765 - [c169]Li-Jen Yang, I-Ping Yeh, Jen-Tzung Chien
:
Low-Resource Speech Synthesis with Speaker-Aware Embedding. ISCSLP 2022: 235-239 - 2021
- [c168]Jen-Tzung Chien, Yi-Hsiang Chen:
Continuous-Time Attention for Sequential Learning. AAAI 2021: 7116-7124 - [c167]Jen-Tzung Chien, Shu-Hsiang Yang:
Model-Based Soft Actor-Critic. APSIPA ASC 2021: 2028-2035 - [c166]Jen-Tzung Chien, Sixun Luo:
Self-Supervised Learning for Online Speaker Diarization. APSIPA ASC 2021: 2036-2042 - [c165]Jen-Tzung Chien, Yu-Min Huang:
Multi-Resolution Convolutional Recurrent Networks. APSIPA ASC 2021: 2043-2048 - [c164]Jen-Tzung Chien
, Chih-Jung Tsai:
Variational Sequential Modeling, Learning and Understanding. ASRU 2021: 480-486 - [c163]Chuan-En Hsu, Mahdin Rohmatillah
, Jen-Tzung Chien
:
Multitask Generative Adversarial Imitation Learning for Multi-Domain Dialogue System. ASRU 2021: 954-961 - [c162]Mahdin Rohmatillah
, Jen-Tzung Chien
:
Corrective Guidance and Learning for Dialogue Management. CIKM 2021: 1548-1557 - [c161]Sheng-Jhe Huang, Jen-Tzung Chien
:
Attribute Decomposition for Flow-Based Domain Mapping. ICASSP 2021: 1710-1714 - [c160]Jen-Tzung Chien
, Yi-Hsiang Chen:
Continuous-Time Self-Attention in Neural Differential Equation. ICASSP 2021: 3290-3294 - [c159]Jen-Tzung Chien
, Wei-Hsiang Chang:
Dualformer: A Unified Bidirectional Sequence-to-Sequence Learning. ICASSP 2021: 7718-7722 - [c158]Tien-Ching Luo, Jen-Tzung Chien
:
Variational Dialogue Generation with Normalizing Flows. ICASSP 2021: 7778-7782 - [c157]Yu-Hung Chuang, Yu-Chieh Huang, Chein-Fang Chiu, Wen-Whei Chang, Jen-Tzung Chien
:
Synthesis of Chest-Lead ECG Using Temporal Convolutional Networks. ICGSP 2021: 54-59 - [c156]Jen-Tzung Chien
, Wei-Hsiang Chang:
Collaborative Regularization for Bidirectional Domain Mapping. IJCNN 2021: 1-8 - [c155]Jen-Tzung Chien
, Yi-Chung Chiu:
Stochastic Temporal Difference Learning for Sequence Data. IJCNN 2021: 1-6 - [c154]Chi-Hang Leong, Yu-Han Huang, Jen-Tzung Chien
:
Online Compressive Transformer for End-to-End Speech Recognition. Interspeech 2021: 2082-2086 - [c153]Mahdin Rohmatillah
, Jen-Tzung Chien
:
Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy. Interspeech 2021: 3221-3225 - 2020
- [j62]Han-Ying Lin, Chien-Chieh Huang, Wen-Whei Chang, Jen-Tzung Chien
:
The Role of Accent and Grouping Structures in Estimating Musical Meter. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(4): 649-656 (2020) - [j61]Yu-Hung Chuang
, Chia-Ling Huang, Wen-Whei Chang
, Jen-Tzung Chien
:
Automatic Classification of Myocardial Infarction Using Spline Representation of Single-Lead Derived Vectorcardiography. Sensors 20(24): 7246 (2020) - [j60]Youzhi Tu
, Man-Wai Mak
, Jen-Tzung Chien
:
Variational Domain Adversarial Learning With Mutual Information Maximization for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2013-2024 (2020) - [j59]Jen-Tzung Chien
, Man-Wai Mak:
Guest Editorial: Modern Speech Processing and Learning. J. Signal Process. Syst. 92(8): 775-776 (2020) - [c152]Jen-Tzung Chien, Po-Yen Hung:
Multiple Target Prediction for Deep Reinforcement Learning. APSIPA 2020: 1611-1616 - [c151]Jen-Tzung Chien, Ting-An Lin:
Supportive and Self Attentions for Image Caption. APSIPA 2020: 1713-1718 - [c150]Jen-Tzung Chien
:
Neural Bayesian Information Processing. CIKM 2020: 3501-3502 - [c149]Jen-Tzung Chien
, Wei-Lin Liao, Issam El-Naqa:
Exploring State Transition Uncertainty in Variational Reinforcement Learning. EUSIPCO 2020: 1527-1531 - [c148]Jen-Tzung Chien
, Chih-Jung Tsai:
Sequential Learning and Regularization in Variational Recurrent Autoencoder. EUSIPCO 2020: 1613-1617 - [c147]Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien
:
Information Maximized Variational Domain Adversarial Learning for Speaker Verification. ICASSP 2020: 6449-6453 - [c146]Jen-Tzung Chien
, Su-Ting Chang:
M-ARY Quantized Neural Networks. ICME 2020: 1-6 - [c145]Jen-Tzung Chien
, Su-Ting Chang:
Bayesian Learning for Neural Network Compression. ICME Workshops 2020: 1-6 - [c144]Jen-Tzung Chien
, Yu-Min Huang:
Stochastic Convolutional Recurrent Networks. IJCNN 2020: 1-6 - [c143]Jen-Tzung Chien
, Po-Chien Hsu:
Stochastic Curiosity Maximizing Exploration. IJCNN 2020: 1-8 - [c142]Jen-Tzung Chien
, Ching-Wei Huang:
Stochastic Adversarial Learning for Domain Adaptation. IJCNN 2020: 1-7 - [c141]Jen-Tzung Chien
, Chih-Jung Tsai:
Amortized Mixture Prior for Variational Sequence Generation. IJCNN 2020: 1-6 - [c140]Jen-Tzung Chien
, Yu-Min Huang:
Stochastic Convolutional Recurrent Networks for Language Modeling. INTERSPEECH 2020: 3640-3644 - [c139]Jen-Tzung Chien
, Po-Chien Hsu:
Stochastic Curiosity Exploration for Dialogue Systems. INTERSPEECH 2020: 3885-3889 - [c138]Weiwei Lin
, Man-Wai Mak, Jen-Tzung Chien
:
Strategies for End-to-End Text-Independent Speaker Verification. INTERSPEECH 2020: 4308-4312 - [c137]Jen-Tzung Chien
:
Deep Bayesian Multimedia Learning. ACM Multimedia 2020: 4791-4793 - [c136]Jen-Tzung Chien
:
Deep Bayesian Data Mining. WSDM 2020: 865-868
2010 – 2019
- 2019
- [j58]Jen-Tzung Chien
, Kang-Ting Peng:
Neural adversarial learning for speaker recognition. Comput. Speech Lang. 58: 422-440 (2019) - [j57]Fangyi Zhu
, Zhanyu Ma
, Xiaoxu Li, Guang Chen, Jen-Tzung Chien
, Jing-Hao Xue, Jun Guo:
Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing 328: 182-188 (2019) - [c135]Jen-Tzung Chien:
Deep Bayesian Natural Language Processing. ACL (4) 2019: 25-30 - [c134]Yu-Min Huang, Huan-Hsin Tseng, Jen-Tzung Chien
:
Stochastic Fusion for Multi-stream Neural Network in Video Classification. APSIPA 2019: 69-74 - [c133]Jen-Tzung Chien
, Chun Lin Kuo:
Bayesian Adversarial Learning for Speaker Recognition. ASRU 2019: 381-388 - [c132]Jen-Tzung Chien
, Che-Yu Kuo:
Markov Recurrent Neural Network Language Model. ASRU 2019: 807-813 - [c131]Jen-Tzung Chien
, Chun Lin Kuo:
Variational Bayesian GAN. EUSIPCO 2019: 1-5 - [c130]Jen-Tzung Chien
, Yu-Ying Lyu:
Partially Adversarial Learning and Adaptation. EUSIPCO 2019: 1-5 - [c129]Jen-Tzung Chien
, Chun-Wei Wang:
Variational and Hierarchical Recurrent Autoencoder. ICASSP 2019: 3202-3206 - [c128]Wei-Wei Lin
, Man-Wai Mak
, Youzhi Tu, Jen-Tzung Chien
:
Semi-supervised Nuisance-attribute Networks for Domain Adaptation. ICASSP 2019: 6236-6240 - [c127]Jen-Tzung Chien
, Che-Yu Kuo:
Stochastic Markov Recurrent Neural Network for Source Separation. ICASSP 2019: 8072-8076 - [c126]Jen-Tzung Chien
, Wei Xiang Lieow:
Meta Learning for Hyperparameter Optimization in Dialogue System. INTERSPEECH 2019: 839-843 - [c125]Jen-Tzung Chien
, Chun-Wei Wang:
Self Attention in Variational Sequential Learning for Summarization. INTERSPEECH 2019: 1318-1322 - [c124]Youzhi Tu, Man-Wai Mak, Jen-Tzung Chien
:
Variational Domain Adversarial Learning for Speaker Verification. INTERSPEECH 2019: 4315-4319 - [c123]Jen-Tzung Chien
:
Deep Bayesian Mining, Learning and Understanding. KDD 2019: 3197-3198 - [e4]Chen-Yu Chiag, Min-Yuh Day, Jen-Tzung Chien:
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing, ROCLING 2019, New Taipei City, Taiwan, October 3-5, 2019. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP) 2019 [contents] - 2018
- [j56]Zhanyu Ma, Jen-Tzung Chien
, Zheng-Hua Tan, Yi-Zhe Song
, Jalil Taghia, Ming Xiao
:
Recent advances in machine learning for non-Gaussian data processing. Neurocomputing 278: 1-3 (2018) - [j55]Jen-Tzung Chien
, Chao-Hsi Lee, Zheng-Hua Tan:
Latent Dirichlet mixture model. Neurocomputing 278: 12-22 (2018) - [j54]Jen-Tzung Chien
, Chao-Hsi Lee:
Deep Unfolding for Topic Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(2): 318-331 (2018) - [j53]Jen-Tzung Chien
:
Bayesian Nonparametric Learning for Hierarchical and Sparse Topics. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 422-435 (2018) - [j52]Wei-Wei Lin
, Man-Wai Mak
, Jen-Tzung Chien
:
Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2412-2422 (2018) - [j51]Jen-Tzung Chien
, Yi-Ting Bao:
Tensor-Factorized Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1998-2011 (2018) - [c122]Jen-Tzung Chien:
Deep Bayesian Learning and Understanding. COLING (Tutorials) 2018: 13-18 - [c121]Jen-Tzung Chien
, Kai-Wei Tsou:
Recall Neural Network for Source Separation. ICASSP 2018: 2956-2960 - [c120]Jen-Tzung Chien
, Kuan-Ting Kuo:
Spectro-Temporal Neural Factorization for Speech Dereverberation. ICASSP 2018: 5449-5453 - [c119]Jen-Tzung Chien
, Kai-Wei Tsou:
Convolutional Neural Turing Machine for Speech Separation. ISCSLP 2018: 81-85 - [c118]Jen-Tzung Chien
, Ting-An Lin:
Supportive Attention in End-To-End Memory Networks. MLSP 2018: 1-6 - [c117]Che-Yu Kuo, Jen-Tzung Chien
:
Markov Recurrent Neural Networks. MLSP 2018: 1-6 - [c116]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien
, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - [c115]Wei-Wei Lin
, Man-Wai Mak, Longxin Li, Jen-Tzung Chien
:
Reducing Domain Mismatch by Maximum Mean Discrepancy Based Autoencoders. Odyssey 2018: 162-167 - [c114]Jen-Tzung Chien
, Kang-Ting Peng:
Adversarial Learning and Augmentation for Speaker Recognition. Odyssey 2018: 342-348 - [e3]Chi-Chun Jeremy Lee, Cheng-Zen Yang, Jen-Tzung Chien:
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing, ROCLING 2018, Hsinchu, Taiwan, October 4-5, 2018. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP) 2018, ISBN 978-986-95769-1-8 [contents] - [i1]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - 2017
- [j50]Na Li, Man-Wai Mak, Weiwei Lin
, Jen-Tzung Chien
:
Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification. Comput. Speech Lang. 45: 83-103 (2017) - [j49]Wei-Wei Lin
, Man-Wai Mak, Jen-Tzung Chien
:
Fast scoring for PLDA with uncertainty propagation via i-vector grouping. Comput. Speech Lang. 45: 503-515 (2017) - [j48]Na Li, Man-Wai Mak
, Jen-Tzung Chien
:
DNN-Driven Mixture of PLDA for Robust Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1371-1383 (2017) - [c113]Jen-Tzung Chien
, Kang-Ting Peng:
Adversarial manifold learning for speaker recognition. ASRU 2017: 599-605 - [c112]Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien
, Jun Guo:
Image-Text Dual Model for Small-Sample Image Classification. CCCV (2) 2017: 556-565 - [c111]Huan-Hsin Tseng, Issam El-Naqa
, Jen-Tzung Chien
:
Power-law stochastic neighbor embedding. ICASSP 2017: 2347-2351 - [c110]Jen-Tzung Chien
, Cheng-Wei Hsu:
Variational manifold learning for speaker recognition. ICASSP 2017: 4935-4939 - [c109]Jen-Tzung Chien
, Kuan-Ting Kuo:
Variational Recurrent Neural Networks for Speech Separation. INTERSPEECH 2017: 1193-1197 - [c108]Jen-Tzung Chien
, Chen Shen:
Stochastic Recurrent Neural Network for Speech Recognition. INTERSPEECH 2017: 1313-1317 - [c107]Jen-Tzung Chien
, Chen Shen:
Deep Neural Factorization for Speech Recognition. INTERSPEECH 2017: 3682-3686 - [c106]Jen-Chieh Tsai, Jen-Tzung Chien
:
Adversarial domain separation and adaptation. MLSP 2017: 1-6 - [c105]Kai-Wei Tsou, Jen-Tzung Chien
:
Memory augmented neural network for source separation. MLSP 2017: 1-6 - [e2]Naonori Ueda, Shinji Watanabe, Tomoko Matsui, Jen-Tzung Chien, Jan Larsen:
27th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2017, Tokyo, Japan, September 25-28, 2017. IEEE 2017, ISBN 978-1-5090-6341-3 [contents] - 2016
- [j47]Man-Wai Mak, Xiaomin Pang, Jen-Tzung Chien
:
Mixture of PLDA for Noise Robust I-Vector Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 130-142 (2016) - [j46]Jen-Tzung Chien
, Po-Kai Yang:
Bayesian Factorization and Learning for Monaural Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 24(1): 185-195 (2016) - [j45]Jen-Tzung Chien
, Yuan-Chu Ku:
Bayesian Recurrent Neural Network for Language Modeling. IEEE Trans. Neural Networks Learn. Syst. 27(2): 361-374 (2016) - [j44]Jen-Tzung Chien
:
Hierarchical Theme and Topic Modeling. IEEE Trans. Neural Networks Learn. Syst. 27(3): 565-578 (2016) - [c104]Chao-Hsi Lee, Jen-Tzung Chien
:
Deep unfolding inference for supervised topic model. ICASSP 2016: 2279-2283 - [c103]Guan-Xiang Wang, Chung-Chien Hsu, Jen-Tzung Chien
:
Discriminative deep recurrent neural networks for monaural speech separation. ICASSP 2016: 2544-2548 - [c102]Jen-Tzung Chien
, Ching-Huai Chen:
Deep discriminative manifold learning. ICASSP 2016: 2672-2676 - [c101]Tan Lee
, Yuanyuan Liu
, Pei-Wen Huang, Jen-Tzung Chien
, Wang-Kong Lam, Yu Ting Yeung, Thomas K. T. Law, Kathy Y. S. Lee
, Anthony Pak-Hin Kong
, Sam-Po Law:
Automatic speech recognition for acoustical analysis and assessment of cantonese pathological voice and speech. ICASSP 2016: 6475-6479 - [c100]Chung-Chien Hsu, Tai-Shih Chi, Jen-Tzung Chien
:
Discriminative Layered Nonnegative Matrix Factorization for Speech Separation. INTERSPEECH 2016: 560-564 - [c99]Jen-Tzung Chien
, Pei-Wen Huang, Tan Lee
:
Hybrid Accelerated Optimization for Speech Recognition. INTERSPEECH 2016: 3399-3403 - [c98]Jen-Tzung Chien
, Alim Misbullah
:
Deep long short-term memory networks for speech recognition. ISCSLP 2016: 1-5 - [c97]Jen-Tzung Chien
, You-Cheng Chang:
Bayesian learning for speech dereverberation. MLSP 2016: 1-6 - [c96]Jen-Tzung Chien
, Pei-Wen Huang:
Variance reduction for optimization in speech recognition. MLSP 2016: 1-6 - [c95]Jen-Tzung Chien
, Chao-Hsi Lee, Zheng-Hua Tan:
Dirichlet mixture allocation. MLSP 2016: 1-6 - [c94]Na Li, Man-Wai Mak, Jen-Tzung Chien
:
Deep neural network driven mixture of PLDA for robust i-vector speaker verification. SLT 2016: 186-191 - 2015
- [b1]Shinji Watanabe
, Jen-Tzung Chien
:
Bayesian Speech and Language Processing. Cambridge University Press 2015, ISBN 9781107295360 - [j43]Jen-Tzung Chien
:
Laplace Group Sensing for Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 909-922 (2015) - [j42]Jen-Tzung Chien
:
Hierarchical Pitman-Yor-Dirichlet Language Model. IEEE ACM Trans. Audio Speech Lang. Process. 23(8): 1259-1272 (2015) - [c93]Chung-Chien Hsu, Kah-Meng Cheong, Jen-Tzung Chien
, Tai-Shih Chi:
Modulation Wiener filter for improving speech intelligibility. ICASSP 2015: 370-374 - [c92]Jen-Tzung Chien
:
The shared dirichlet priors for bayesian language modeling. ICASSP 2015: 2081-2085 - [c91]Jen-Tzung Chien
, Tsai-Wei Lu:
Deep recurrent regularization neural network for speech recognition. ICASSP 2015: 4560-4564 - [c90]Chung-Chien Hsu, Jen-Tzung Chien, Tai-Shih Chi:
Layered nonnegative matrix factorization for speech separation. INTERSPEECH 2015: 628-632 - [c89]Yi-Ting Bao, Jen-Tzung Chien
:
Tensor classification network. MLSP 2015: 1-6 - [c88]Hung-Yu Chen, Jen-Tzung Chien
:
Deep semi-supervised learning for domain adaptation. MLSP 2015: 1-6 - [e1]Sin-Horng Chen, Hsin-Min Wang, Jen-Tzung Chien, Hung-Yu Kao, Wen-Whei Chang, Yih-Ru Wang, Shih-Hung Wu:
Proceedings of the 27th Conference on Computational Linguistics and Speech Processing, ROCLING 2015, National Chiao Tung University, Hsinchu, Taiwan, October 1-2, 2015. Association for Computational Linguistics and Chinese Language Processing (ACLCLP), Taiwan 2015, ISBN 978-957-30792-8-6 [contents] - 2014
- [j41]Jen-Tzung Chien
, Ying-Lan Chang:
Bayesian Sparse Topic Model. J. Signal Process. Syst. 74(3): 375-389 (2014) - [c87]Chung-Chien Hsu, Jen-Tzung Chien, Tai-Shih Chi:
Binary mask estimation based on frequency modulations. INTERSPEECH 2014: 993-997 - [c86]Po-Kai Yang, Chung-Chien Hsu, Jen-Tzung Chien:
Bayesian factorization and selection for speech and music separation. INTERSPEECH 2014: 998-1002 - [c85]Jen-Tzung Chien, Ying-Lan Chang:
The nested indian buffet process for flexible topic modeling. INTERSPEECH 2014: 1434-1437 - [c84]Jen-Tzung Chien
, Yuan-Chu Ku, Mou-Yue Huang:
Rapid bayesian learning for recurrent neural network language model. ISCSLP 2014: 34-38 - [c83]Po-Kai Yang, Chung-Chien Hsu, Jen-Tzung Chien:
Bayesian Singing-Voice Separation. ISMIR 2014: 507-512 - [c82]Jen-Tzung Chien
, Tsai-Wei Lu:
Tikhonov regularization for deep neural network acoustic modeling. SLT 2014: 147-152 - [c81]Jen-Tzung Chien
, Yuan-Chu Ku:
Bayesian recurrent neural network language model. SLT 2014: 206-211 - 2013
- [j40]Jen-Tzung Chien
, Hsin-Lung Hsieh:
Bayesian group sparse learning for music source separation. EURASIP J. Audio Speech Music. Process. 2013: 18 (2013) - [j39]Jen-Tzung Chien
, Hsin-Lung Hsieh:
Nonstationary Source Separation Using Sequential and Variational Bayesian Learning. IEEE Trans. Neural Networks Learn. Syst. 24(5): 681-694 (2013) - [c80]Jen-Tzung Chien
, Hiroshi Sawada, Shoji Makino:
Adaptive processing and learning for audio source separation. APSIPA 2013: 1-6 - [c79]Jen-Tzung Chien
, Peng Liu:
Bayesian latent variable models for speech recognition. ICASSP 2013: 7393-7397 - [c78]Jen-Tzung Chien, Ying-Lan Chang:
Hierarchical pitman-yor and dirichlet process for language model. INTERSPEECH 2013: 2212-2216 - [c77]Jen-Tzung Chien
, Ying-Lan Chang:
Hierarchical theme and topic model for summarization. MLSP 2013: 1-6 - 2012
- [j38]George Saon, Jen-Tzung Chien
:
Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances. IEEE Signal Process. Mag. 29(6): 18-33 (2012) - [j37]Dong Yu, Geoffrey E. Hinton, Nelson Morgan, Jen-Tzung Chien
, Shigeki Sagayama:
Introduction to the Special Section on Deep Learning for Speech and Language Processing. IEEE Trans. Speech Audio Process. 20(1): 4-6 (2012) - [j36]George Saon, Jen-Tzung Chien
:
Bayesian Sensing Hidden Markov Models. IEEE Trans. Speech Audio Process. 20(1): 43-54 (2012) - [j35]Jen-Tzung Chien
, Chuang-Hua Chueh:
Topic-Based Hierarchical Segmentation. IEEE Trans. Speech Audio Process. 20(1): 55-66 (2012) - [j34]Jen-Tzung Chien
, Hsin-Lung Hsieh:
Convex Divergence ICA for Blind Source Separation. IEEE Trans. Speech Audio Process. 20(1): 302-313 (2012) - [j33]Xiaodong Cui, Jing Huang, Jen-Tzung Chien
:
Multi-View and Multi-Objective Semi-Supervised Learning for HMM-Based Automatic Speech Recognition. IEEE Trans. Speech Audio Process. 20(7): 1923-1935 (2012) - [c76]George Saon, Jen-Tzung Chien:
Recent developments in large vocabulary continuous speech recognition. APSIPA 2012: 1-6 - [c75]Jen-Tzung Chien, Hsin-Lung Hsieh:
Bayesian Group Sparse Learning for Nonnegative Matrix Factorization. INTERSPEECH 2012: 1552-1555 - [c74]Jen-Tzung Chien, Cheng-Chun Chiang:
Group Sparse Hidden Markov Models for Speech Recognition. INTERSPEECH 2012: 2646-2649 - [c73]Ying-Lang Chang, Jen-Tzung Chien
:
Bayesian nonparametric language models. ISCSLP 2012: 188-192 - [c72]Jen-Tzung Chien
, Chuang-Hua Chueh:
Latent Dirichlet learning for hierarchical segmentation. MLSP 2012: 1-6 - 2011
- [j32]Jen-Tzung Chien
, Chuang-Hua Chueh:
Dirichlet Class Language Models for Speech Recognition. IEEE Trans. Speech Audio Process. 19(3): 482-495 (2011) - [c71]George Saon, Jen-Tzung Chien
:
Some properties of Bayesian sensing hidden Markov models. ASRU 2011: 65-70 - [c70]Hsin-Lung Hsieh, Jen-Tzung Chien
:
Nonstationary and temporally correlated source separation using Gaussian process. ICASSP 2011: 2120-2123 - [c69]Xiaodong Cui, Jing Huang, Jen-Tzung Chien
:
Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition. ICASSP 2011: 4668-4671 - [c68]George Saon, Jen-Tzung Chien
:
Bayesian sensing hidden Markov models for speech recognition. ICASSP 2011: 5056-5059 - [c67]George Saon, Jen-Tzung Chien
:
Discriminative training for Bayesian sensing hidden Markov models. ICASSP 2011: 5316-5319 - [c66]George Saon, Jen-Tzung Chien:
Bayesian sensing hidden Markov models for speech recognition. MLSLP 2011 - [c65]Ying-Lan Chang, Jui-Jung Hung, Jen-Tzung Chien
:
Bayesian nonparametric modeling of hierarchical topics and sentences. MLSP 2011: 1-6 - [c64]Ying-Lan Chang, Kuen-Feng Lee, Jen-Tzung Chien
:
Bayesian feature selection for sparse topic model. MLSP 2011: 1-6 - 2010
- [j31]Jen-Tzung Chien
, Chuang-Hua Chueh:
Joint acoustic and language modeling for speech recognition. Speech Commun. 52(3): 223-235 (2010) - [c63]Hsin-Lung Hsieh, Jen-Tzung Chien
:
Online Bayesian learning for dynamic source separation. ICASSP 2010: 1950-1953 - [c62]Chih-Pin Liao, Jen-Tzung Chien
:
Variational inference for conditional random fields. ICASSP 2010: 2002-2005 - [c61]Hsin-Lung Hsieh, Jen-Tzung Chien
:
A new nonnegative matrix factorization for independent component analysis. ICASSP 2010: 2026-2029 - [c60]Chuang-Hua Chueh, Jen-Tzung Chien
:
Topic cache language model for speech recognition. ICASSP 2010: 5194-5197 - [c59]Meng-Sung Wu, Jen-Tzung Chien
:
A new topic-bridged model for transfer learning. ICASSP 2010: 5346-5349 - [c58]Hsin-Lung Hsieh, Jen-Tzung Chien:
Online Gaussian process for nonstationary speech separation. INTERSPEECH 2010: 394-397 - [c57]Chuang-Hua Chueh, Jen-Tzung Chien
:
Adaptive segment model for spoken document retrieval. ISCSLP 2010: 261-264
2000 – 2009
- 2009
- [j30]Jen-Tzung Chien
, Meng-Sung Wu:
Minimum Rank Error Language Modeling. IEEE Trans. Speech Audio Process. 17(2): 267-276 (2009) - [j29]Jen-Tzung Chien
, Chuan-Wei Ting:
Acoustic Factor Analysis for Streamed Hidden Markov Modeling. IEEE Trans. Speech Audio Process. 17(7): 1279-1291 (2009) - [j28]Jen-Tzung Chien
, Jung-Chun Chen:
Recursive Bayesian Linear Regression for Adaptive Classification. IEEE Trans. Signal Process. 57(2): 565-575 (2009) - [c56]Ying-Lang Chang, Jen-Tzung Chien
:
Latent Dirichlet learning for document summarization. ICASSP 2009: 1689-1692 - [c55]Jung-Chun Chen, Jen-Tzung Chien
:
Bayesian large margin hidden Markov models for speech recognition. ICASSP 2009: 3765-3768 - [c54]Yu Zhang, Peng Liu, Jen-Tzung Chien
, Frank K. Soong:
An evidence framework for Bayesian learning of continuous-density hidden Markov models. ICASSP 2009: 3857-3860 - [c53]Hsin-Lung Hsieh, Jen-Tzung Chien
, Koichi Shinoda, Sadaoki Furui:
Independent component analysis for noisy speech recognition. ICASSP 2009: 4369-4372 - [c52]Chuang-Hua Chueh, Jen-Tzung Chien:
Nonstationary latent Dirichlet allocation for speech recognition. INTERSPEECH 2009: 372-375 - [c51]Chuan-Wei Ting, Jen-Tzung Chien:
Factor analyzed HMM topology for speech recognition. INTERSPEECH 2009: 1415-1418 - 2008
- [j27]Jen-Tzung Chien
, Chih-Pin Liao:
Maximum Confidence Hidden Markov Modeling for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 606-616 (2008) - [j26]Jen-Tzung Chien
, Meng-Sung Wu:
Adaptive Bayesian Latent Semantic Analysis. IEEE Trans. Speech Audio Process. 16(1): 198-207 (2008) - [j25]Jen-Tzung Chien
, Chuan-Wei Ting:
Factor Analyzed Subspace Modeling and Selection. IEEE Trans. Speech Audio Process. 16(1): 239-248 (2008) - [c50]Jen-Tzung Chien
, Hsin-Lung Hsieh, Sadaoki Furui:
A new mutual information measure for independent component alalysis. ICASSP 2008: 1817-1820 - [c49]Chih-Pin Liao, Jen-Tzung Chien
:
Graphical modeling of conditional random fields for human motion recognition. ICASSP 2008: 1969-1972 - [c48]Chuang-Hua Chueh, Jen-Tzung Chien
:
Reliable feature selection for language model adaptation. ICASSP 2008: 5089-5092 - [c47]Chuan-Wei Ting, Kuo-Yuan Lee, Jen-Tzung Chien:
Adaptive HMM topology for speech recognition. INTERSPEECH 2008: 1237-1240 - [c46]Meng-Sung Wu, Jen-Tzung Chien:
Bayesian latent topic clustering model. INTERSPEECH 2008: 2162-2165 - [c45]Ying-Lang Chang, Jen-Tzung Chien
:
Language Model Adaptation for Relevance Feedback in Information Retrieval. ISCSLP 2008: 289-292 - [c44]Chuang-Hua Chueh, Jen-Tzung Chien
:
Continuous topic language modeling for speech recognition. SLT 2008: 193-196 - [c43]Jen-Tzung Chien
, Chuang-Hua Chueh:
Latent dirichlet language model for speech recognition. SLT 2008: 201-204 - 2007
- [c42]Chuan-Wei Ting, Jen-Tzung Chien
:
Factor analysis of acoustic features for streamed hidden Markov modeling. ASRU 2007: 30-35 - [c41]Jen-Tzung Chien
, Jung-Chun Chen:
Recursive Bayesian Regression Modeling and Learning. ICASSP (2) 2007: 557-560 - [c40]Meng-Sung Wu, Jen-Tzung Chien:
Minimum rank error training for language modeling. INTERSPEECH 2007: 614-617 - [c39]Jen-Tzung Chien
, Koichi Shinoda, Sadaoki Furui:
Predictive minimum Bayes risk classification for robust speech recognition. INTERSPEECH 2007: 1062-1065 - [c38]Sibel Yaman, Jen-Tzung Chien, Chin-Hui Lee:
Structural Bayesian language modeling and adaptation. INTERSPEECH 2007: 2365-2368 - [c37]Meng-Sung Wu, Hsuan-Jui Hsu, Jen-Tzung Chien:
貝氏主題混合資訊檢索模型 (Bayesian Topic Mixture Model for Information Retrieval) [In Chinese]. ROCLING 2007 - 2006
- [j24]Chuang-Hua Chueh, Hsin-Min Wang, Jen-Tzung Chien:
A Maximum Entropy Approach for Semantic Language Modeling. Int. J. Comput. Linguistics Chin. Lang. Process. 11(1) (2006) - [j23]Jen-Tzung Chien
, Chih-Hsien Huang:
Aggregate a posteriori linear regression adaptation. IEEE Trans. Speech Audio Process. 14(3): 797-807 (2006) - [j22]Jen-Tzung Chien
, Bo-Cheng Chen:
A new independent component analysis for speech recognition and separation. IEEE Trans. Speech Audio Process. 14(4): 1245-1254 (2006) - [j21]Jen-Tzung Chien
:
Association pattern language modeling. IEEE Trans. Speech Audio Process. 14(5): 1719-1728 (2006) - [c36]Jen-Tzung Chien
, Chih-Hsien Huang, Koichi Shinoda, Sadaoki Furui:
Towards Optimal Bayes Decision for Speech Recognition. ICASSP (1) 2006: 45-48 - [c35]Chih-Pin Liao, Jen-Tzung Chien:
Maximum Confidence Hidden Markov Modeling. ICASSP (5) 2006: 549-552 - [c34]Chuang-Hua Chueh, Jen-Tzung Chien:
Maximum Entropy Modeling of Acoustic and Linguistic Features. ICASSP (1) 2006: 1061-1064 - [c33]Jen-Tzung Chien, Chuan-Wei Ting:
Subspace modeling and selection for noisy speech recognition. INTERSPEECH 2006 - [c32]Chuan-Wei Ting, Bo-Shu Wu, Jen-Tzung Chien:
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]. ROCLING 2006 - 2005
- [j20]Hsien-Chang Wang, Chung-Hsien Yang, Jhing-Fa Wang, Chung-Hsien Wu, Jen-Tzung Chien:
TAICAR-The Collection and Annotation of an In-Car Speech Database Created in Taiwan. Int. J. Comput. Linguistics Chin. Lang. Process. 10(2) (2005) - [j19]Jen-Tzung Chien
, Po-Yin Lai:
Car Speech Enhancement Using a Microphone Array. Int. J. Speech Technol. 8(1): 79-91 (2005) - [j18]Jen-Tzung Chien
:
Decision tree State tying using cluster validity criteria. IEEE Trans. Speech Audio Process. 13(2): 182-193 (2005) - [j17]Jen-Tzung Chien
, Sadaoki Furui:
Predictive hidden Markov model selection for speech recognition. IEEE Trans. Speech Audio Process. 13(3): 377-387 (2005) - [c31]Jen-Tzung Chien
, Bo-Cheng Chen:
Independent component analysis using nonparametric likelihood ratio criterion. ICASSP (5) 2005: 173-176 - [c30]Chih-Pin Liao, Jen-Tzung Chien
:
Nonsingular discriminant feature extraction for face recognition. ICASSP (2) 2005: 957-960 - [c29]Chih-Hsien Huang, Jen-Tzung Chien
:
Aggregate a Posteriori Linear Regression for Speaker Adaptation. ICASSP (1) 2005: 973-976 - [c28]Jen-Tzung Chien, Meng-Sung Wu, Chia-Sheng Wu:
Bayesian learning for latent semantic analysis. INTERSPEECH 2005: 25-28 - [c27]Chuang-Hua Chueh, To-Chang Chien, Jen-Tzung Chien:
Discriminative maximum entropy language model for speech recognition. INTERSPEECH 2005: 721-724 - [c26]Chuan-Wei Ting, Jen-Tzung Chien:
Perceptual Factor Analysis for Speech Enhancement. ROCLING 2005 - 2004
- [j16]Jen-Tzung Chien, Meng-Sung Wu, Hua-Jui Peng:
Latent Semantic Modeling and Smoothing of Chinese Language. Int. J. Comput. Linguistics Chin. Lang. Process. 9(2) (2004) - [j15]Jen-Tzung Chien, P. C. Ching, Eric Chang:
Editorial. Int. J. Speech Technol. 7(2-3): 111-113 (2004) - [j14]Jen-Tzung Chien
, Jain-Ray Lai:
Use of Microphone Array and Model Adaptation for Hands-Free Speech Acquisition and Recognition. J. VLSI Signal Process. 36(2-3): 141-151 (2004) - [c25]Jen-Tzung Chien, Chih-Hsien Huang:
Bayesian duration modeling and learning for speech recognition. ICASSP (1) 2004: 1005-1008 - [c24]Jen-Tzung Chien, Hung-Ying Chen:
Mining of association patterns for language modeling. INTERSPEECH 2004: 1369-1372 - [c23]Jen-Tzung Chien, Meng-Sung Wu, Hua-Jui Peng:
On latent semantic language modeling and smoothing. INTERSPEECH 2004: 1373-1376 - [c22]Jen-Tzung Chien, Chuan-Wei Ting:
Speaker identification using probabilistic PCA model selection. INTERSPEECH 2004: 1785-1788 - [c21]Chih-Hsien Huang, Jen-Tzung Chien
, Hsin-Min Wang:
A new eigenvoice approach to speaker adaptation. ISCSLP 2004: 109-112 - [c20]Chuang-Hua Chueh, Jen-Tzung Chien
, Hsin-Min Wang:
A maximum entropy approach for integrating semantic information in statistical language models. ISCSLP 2004: 309-312 - [c19]Jen-Tzung Chien, Duen-Chi Yang:
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]. ROCLING 2004 - [c18]Chih-Hsien Huang, Yii-Kai Wang, Jen-Tzung Chien:
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]. ROCLING 2004 - 2003
- [j13]Jen-Tzung Chien
:
Linear regression based Bayesian predictive classification for speech recognition. IEEE Trans. Speech Audio Process. 11(1): 70-79 (2003) - [j12]Jen-Tzung Chien
, Chih-Hsien Huang:
Bayesian learning of speech duration models. IEEE Trans. Speech Audio Process. 11(6): 558-567 (2003) - [c17]Jen-Tzung Chien, Sadaoki Furui:
Predictive hidden Markov model selection for decision tree state tying. INTERSPEECH 2003: 2701-2704 - 2002
- [j11]Jen-Tzung Chien
, Chia-Chen Wu:
Discriminant Waveletfaces and Nearest Feature Classifiers for Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1644-1649 (2002) - [j10]Jen-Tzung Chien
:
Adaptive hierarchy of hidden Markov models for transformation-based adaptation. Speech Commun. 36(3-4): 291-304 (2002) - [j9]Jen-Tzung Chien
:
A Bayesian prediction approach to robust speech recognition and online environmental learning. Speech Commun. 37(3-4): 321-334 (2002) - [j8]Jen-Tzung Chien
:
Quasi-Bayes linear regression for sequential learning of hidden Markov models. IEEE Trans. Speech Audio Process. 10(5): 268-278 (2002) - [c16]Jen-Tzung Chien
, Chih-Hsien Huang, Shun-Ju Chen:
Compact decision trees with cluster validity for speech recognition. ICASSP 2002: 873-876 - 2001
- [j7]Jen-Tzung Chien
, Guo-Hong Liao:
Transformation-based Bayesian predictive classification using online prior evolution. IEEE Trans. Speech Audio Process. 9(4): 399-410 (2001) - [c15]Jen-Tzung Chien, Chih-Hsien Huang:
Online speaker adaptation based on quasi-Bayes linear regression. ICASSP 2001: 329-332 - [c14]Jen-Tzung Chien:
Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition. INTERSPEECH 2001: 1131-1134 - [c13]Jen-Tzung Chien, Hung-Ying Chen:
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]. ROCLING 2001 - 2000
- [j6]Jen-Tzung Chien
, Jean-Claude Junqua:
Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters. Speech Commun. 30(4): 235-253 (2000) - [c12]Jen-Tzung Chien, Guo-Hong Liao:
Transformation-based Bayesian predictive classification for online environmental learning and robust speech recognition. INTERSPEECH 2000: 544-547 - [c11]Jen-Tzung Chien, Guo-Hong Liao:
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]. ROCLING 2000 - [c10]Jain-Ray Lai, Jen-Tzung Chien:
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]. ROCLING 2000
1990 – 1999
- 1999
- [j5]Jen-Tzung Chien
:
Online hierarchical transformation of hidden Markov models for speech recognition. IEEE Trans. Speech Audio Process. 7(6): 656-667 (1999) - [c9]Patrick Nguyen, Philippe Gelin, Jean-Claude Junqua, Jen-Tzung Chien
:
N-best based supervised and unsupervised adaptation for native and non-native speakers in cars. ICASSP 1999: 173-176 - [c8]Jen-Tzung Chien, Jean-Claude Junqua, Philippe Gelin:
Extraction of reliable transformation parameters for unsupervised speaker adaptation. EUROSPEECH 1999: 207-210 - [c7]Jen-Tzung Chien, Ming-Shun Lin:
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]. ROCLING (1) 1999: 239-251 - 1998
- [j4]Jen-Tzung Chien
, Hsiao-Chuan Wang, Lee-Min Lee:
A novel projection-based likelihood measure for noisy speech recognition. Speech Commun. 24(4): 287-297 (1998) - [j3]Jen-Tzung Chien
, Hsiao-Chuan Wang:
Phone-dependent channel compensated hidden Markov model for telephone speech recognition. IEEE Signal Process. Lett. 5(6): 143-145 (1998) - [c6]Jen-Tzung Chien:
On-line hierarchical transformation of hidden Markov models for speaker adaptation. ICSLP 1998 - 1997
- [j2]Jen-Tzung Chien
, Hsiao-Chuan Wang:
Telephone speech recognition based on Bayesian adaptation of hidden Markov models. Speech Commun. 22(4): 369-384 (1997) - [j1]Jen-Tzung Chien
, Chin-Hui Lee, Hsiao-Chuan Wang:
A hybrid algorithm for speaker adaptation using MAP transformation and adaptation. IEEE Signal Process. Lett. 4(6): 167-169 (1997) - [c5]Jen-Tzung Chien, Chin-Hui Lee, Hsiao-Chuan Wang:
Improved Bayesian learning of hidden Markov models for speaker adaptation. ICASSP 1997: 1027-1030 - [c4]Jen-Tzung Chien, Hsiao-Chuan Wang, Chin-Hui Lee:
Bayesian affine transformation of HMM parameters for instantaneous and supervised adaptation in telephone speech recognition. EUROSPEECH 1997: 2563-2566 - 1996
- [c3]Jen-Tzung Chien, Lee-Min Lee, Hsiao-Chuan Wang:
Noisy speech recognition using variance adapted likelihood measure. ICASSP 1996: 45-48 - [c2]Jen-Tzung Chien, Hsiao-Chuan Wang, Lee-Min Lee:
Estimation of channel bias for telephone speech recognition. ICSLP 1996: 1840-1843 - 1995
- [c1]Jen-Tzung Chien, Lee-Min Lee, Hsiao-Chuan Wang:
Channel estimation for reference model adaptation in telephone speech recognition. EUROSPEECH 1995: 1541-1544
Coauthor Index
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