Conference Papers

  1. Kai-Wei Tsou and Jen-Tzung Chien, “Memory augmented neural network for source separation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Tokyo, September 2017.
  2. Jen-Chieh Tsai and Jen-Tzung Chien, “Adversarial domain separation and adaptation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Tokyo, September 2017.
  3. Jen-Tzung Chien and Kuan-Ting Kuo, “Variational recurrent neural networks for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1193-1197, Stockholm-Sweden, August 2017.
  4. Jen-Tzung Chien and Chen Shen, “Deep neural factorization for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 3682-3686, Stockholm-Sweden, August 2017.
  5. Jen-Tzung Chien and Chen Shen, “Stochastic recurrent neural network for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1313-1317, Stockholm-Sweden, August 2017.
  6. Huan-Hsin Tseng, Yi Luo, Jen-Tzung Chien, Randall K. Ten Haken and Issam El Naqa, “Deep reinforcement learning for automated dose adaptation in lung cancer”, Proc. of AAPM Annual Meeting & Exhibition, Denver, July 2017.
  7. Jen-Tzung Chien and Ching-Wei Huang, “Variational and adversarial domain adaptation”, Proc. of International Workshop on Symbolic-Neural Learning (SNL), Nagoya, July 2017.
  8. Huan-Hsin Tseng, Issam El Naqa and Jen-Tzung Chien, “Power-law stochastic neighbor embedding”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2347-2351, New Orleans, March 2017.
  9. Jen-Tzung Chien and Cheng-Wei Hsu, “Variational manifold learning for speaker recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4935-4939, New Orleans, March 2017.
  10. Na Li, Man-Wai Mak and Jen-Tzung Chien, “Deep neural network driven mixture of PLDA for robust i-vector speaker verification”, Proc. of IEEE Spoken Language Technology Workshop (SLT), pp. 186-191, San Diego, December 2016.
  11. Jen-Tzung Chien and Alim Misbullah, “Deep long short-term memory networks for speech recognition”, Proc. of International Symposium on Chinese Spoken Language Processing, pp. 1-5, Tianjin-China, October 2016.
  12. Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Dirichlet mixture allocation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016.
  13. Jen-Tzung Chien, You-Cheng Chang, “Bayesian learning for speech dereverberation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016.
  14. Jen-Tzung Chien and Pei-Wen Huang, “Variance reduction for optimization in speech recognition”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Salerno-Italy, September 2016.
  15. Jen-Tzung Chien, Pei-Wen Huang and Tan Lee, “Hybrid accelerated optimization for speech recognition”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 3399-3403, San Francisco, September 2016.
  16. Chung-Chien Hsu, Tai-Shih Chi and Jen-Tzung Chien, “Discriminative layered nonnegative matrix factorization for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp 560-564, San Francisco, September 2016.
  17. Jen-Tzung Chien and Pei-Wen Huang, “Variance reduction for optimization in deep neural network”, ICML Workshop on Advances in Non-Convex Analysis and Optimization, New York, June 2016.
  18. Jen-Tzung Chien and Ching-Huai Chen, “Deep discriminative manifold learning”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2672-2676, Shanghai-China, March 2016.
  19. Chao-Hsi Lee and Jen-Tzung Chien, “Deep unfolding inference for supervised topic model”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2279-2283, Shanghai-China, March 2016.
  20. Guan-Xiang Wang, Chung-Chien Hsu and Jen-Tzung Chien, “Discriminative deep recurrent neural networks for monaural speech separation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2544-2548, Shanghai-China, March 2016.
  21. 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 and Sam-Po Law, “Automatic speech recognition for acoustical analysis and assessment of Cantonese pathological voice and speech”Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 6475-6479, Shanghai-China, March 2016.
  22. Hung-Yu Chen and Jen-Tzung Chien, “Deep semi-supervised learning for domain adaptation”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Boston, September 2015.
  23. Yi-Ting Bao and Jen-Tzung Chien, “Tensor classification network”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Boston, September 2015.
  24. Chung-Chien Hsu, Jen-Tzung Chien and Tai-Shih Chi, “Layered nonnegative matrix factorization for speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 628-632, Dresden-Germany, September 2015.
  25. Jen-Tzung Chien, “The shared Dirichlet priors for Bayesian language modeling”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2081-2085, Brisbane-Australia, April 2015.
  26. Jen-Tzung Chien and Tsai-Wei Lu, “Deep recurrent regularization neural network for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4560-4564, Brisbane-Australia, April 2015.
  27. Chung-Chien Hsu, Kah-Meng Cheong, Jen-Tzung Chien and Tai-Shih Chi, “Modulation Wiener filter for improving speech intelligibility”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 370-374, Brisbane-Australia, April 2015.
  28. Jen-Tzung Chien and Tsai-Wei Lu, “Tikhonov regularization for deep neural network acoustic modeling”, Prof. of IEEE Spoken Language Technology Workshop (SLT), pp. 147-152, South Lake Tahoe-Nevada, December 2014.
  29. Jen-Tzung Chien and Yuan-Chu Ku, “Bayesian recurrent neural network language model”, Prof. of IEEE Spoken Language Technology Workshop (SLT), pp. 206-211, South Lake Tahoe-Nevada, December 2014.
  30. Po-Kai Yang, Chung-Chien Hsu and Jen-Tzung Chien, “Bayesian singing-voice separation”, Proc. of  Annual Conference of International Society for Music Information Retrieval (ISMIR), pp. 507-512, Taipei-Taiwan, October 2014.
  31. Jen-Tzung Chien and Ying-Lan Chang, “The nested Indian buffet process for flexible topic modeling”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1434-1437, Singapore, September 2014.
  32. Chung-Chien Hsu, Jen-Tzung Chien and Tai-Shih Chi, “Binary mask estimation based on frequency modulations”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 993-997, Singapore, September 2014.
  33. Po-Kai Yang, Chung-Chien Hsu and Jen-Tzung Chien, “Bayesian factorization and selection for speech and music separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 998-1002, Singapore, September 2014.
  34. Jen-Tzung Chien, Yuan-Chu Ku and Mou-Yue Huang, “Rapid Bayesian learning for recurrent neural network language model”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 34-38, Singapore, September 2014.
  35. Jen-Tzung Chien and Hiroshi Sawada and Shoji Makino, "Adaptive processing and learning for audio source separation", Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1-6, Kaohsiung-Taiwan, October 2013.
  36. Jen-Tzung Chien and Ying-Lan Chang, "Hierarchical theme and topic model for summarization", Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Southampton-UK, September 2013.
  37. Jen-Tzung Chien and Ying-Lan Chang, "Hierarchical Pitman-Yor and Dirichlet process for language model", Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 2212-2216, Lyon-France, August 2013.
  38. Jen-Tzung Chien and Ying-Lan Chang, "Deep learning for topical words and thematic sentences", ICML Workshop on Deep Learning for Audio, Speech and Language Processing, Atlanta, June 2013.
  39. Jen-Tzung Chien and Peng Liu, "Bayesian latent variable models for speech recognition", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP),pp.7393-7397, Vancouver, May 2013.
  40. George Saon and Jen-Tzung Chien, "Recent developments in large vocabulary continuous speech recognition", Proc. of APSIPA Annual Summit and Conference , pp. 1-6, Hollywood-California, December 2012.
  41. Ying-Lan Chang and Jen-Tzung Chien, "Bayesian nonparametric language models", Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 188-192, Hong Kong, December 2012.
  42. Jen-Tzung Chien and Cheng-Chun Chiang, "Group sparse hidden Markov models for speech recognition", Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH),pp. 2646-2649, Portland-Oregon, September 2012.
  43. Jen-Tzung Chien and Chuang-Hua Chueh, "Latent Dirichlet learning for hierarchical segmentation", Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Santander-Spain, September 2012.
  44. Jen-Tzung Chien and Hsin-Lung Hsieh, "Bayesian group sparse learning for nonnegative matrix factorization", Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 1552-1555, Portland-Oregon, September 2012.
  45. Jen-Tzung Chien and Ying-Lan Chang,"Unsupervised structural learning of word topics and sentence topics", NIPS Workshop on Deep Learning and Unsupervised Feature Learning, Sierra Nevada-Spain, December 2011.
  46. Jen-Tzung Chien and Cheng-Chun Chiang, "Group sparse hidden Markov models", NIPS Workshop on Sparse Representation and Low-Rank Approximation, Sierra Nevada-Spain, December 2011.
  47. Ying-Lan Chang and Jen-Tzung Chien, "Selection of relevant features for sparse topic model", NIPS Workshop on Sparse Representation and Low-Rank Approximation, Sierra Nevada-Spain, December 2011.
  48. George Saon and Jen-Tzung Chien, "Some properties of Bayesian sensing hidden Markov models", Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 65-70, Hawaii, December 2011. (Best Paper Award)
  49. Ying-Lan Chang, Jui-Jung Hung and Jen-Tzung Chien, "Bayesian nonparametric modeling of hierarchical topics and sentences", Proc. of IEEE International Workshop on Machine Learning for Signal Processing(MLSP), pp. 1-6, Beijing, September 2011.
  50. Ying-Lan Chang, Kuen-Feng Lee and Jen-Tzung Chien, "Bayesian feature selection for sparse topic model", Proc. of IEEE International Workshop on Machine Learning for Signal Processing, pp. 1-6, Beijing, September 2011
  51. George Saon and Jen-Tzung Chien, "Bayesian sensing hidden Markov models for speech recognition", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5056-5059, Prague-Czech, May 2011.
  52. George Saon and Jen-Tzung Chien, “Discriminative training for Bayesian sensing hidden Markov models”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5316-5319, Prague-Czech, May 2011.
  53. Xiaodong Cui, Jing Huang and Jen-Tzung Chien, “Multi-view and multi-objective semi-supervised learning for large vocabulary continuous speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4668-4671, Prague-Czech, May 2011.
  54. Hsin-Lung Hsieh and Jen-Tzung Chien, “Nonstationary and temporally-correlated source separation using Gaussian process”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2120-2123, Prague-Czech, May 2011.
  55. Jing Huang, Xiaodong Cui and Jen-Tzung Chien, “Cross-view transfer learning for automatic speech recognition”, NIPS Workshop on Transfer Learning by Learning Rich Generative Models, Whistler- Canada, December 2010.
  56. George Saon and Jen-Tzung Chien, “Sparse Bayesian learning for hidden Markov models”, NIPS Workshop on Practical Application of Sparse Modeling: Open Issues and New Directions, Whistler-Canada, December 2010.
  57. Chuang-Hua Chueh and Jen-Tzung Chien, “Adaptive segment model for spoken document retrieval”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 261-264, Tainan-Taiwan, November 2010.
  58. Hsin-Lung Hsieh and Jen-Tzung Chien, “Online Gaussian process for nonstationary speech separation”, Proc. of Annual Conference of International Speech Communication Association (INTERSPEECH), pp. 394-397, Makuhari-Japan, September 2010.
  59. Chuang-Hua Chueh and Jen-Tzung Chien, “Topic cache language model for speech recognition”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5194-5197, Dallas, March 2010.
  60. Hsin-Lung Hsieh and Jen-Tzung Chien, “Online Bayesian learning for dynamic source separation”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1950-1953, Dallas, March 2010.
  61. Hsin-Lung Hsieh and Jen-Tzung Chien, “A new nonnegative matrix factorization for independent component analysis”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2026-2029, Dallas, March 2010.
  62. Meng-Sung Wu and Jen-Tzung Chien, “A new topic-bridged model for transfer learning”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5346-5349, Dallas, March 2010.
  63. Chih-Pin Liao and Jen-Tzung Chien, “Variational inference for conditional random fields”, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2002-2005, Dallas, March 2010.
  64. Jen-Tzung Chien and Meng-Sung Wu, “Bridged topic model for transfer learning”, NIPS Workshop on Transfer Learning for Structured Data, Whistler-Canada, December 2009.
  65. Ying-Lang Chang and Jen-Tzung Chien, “Adaptation of topic model to new domains using recursive Bayes”, NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler-Canada, December 2009.
  66. Chuang-Hua Chueh and Jen-Tzung Chien, “Segmented topic model for text classification and speech recognition”, NIPS Workshop on Applications for Topic Models: Text and Beyond, Whistler-Canada, December 2009.
  67. Chuang-Hua Chueh and Jen-Tzung Chien, “Nonstationary Latent Dirichlet Allocation for Speech Recognition”, Proc. of INTERSPEECH, pp. 372-375, Brighton, U.K., September 2009.
  68. Chuan-Wei Ting and Jen-Tzung Chien, “Factor Analyzed HMM Topology for Speech Recognition”, Proc. of INTERSPEECH, pp. 1415-1418, Brighton, U.K., September 2009.
  69. Yu Zhang, Peng Liu, Jen-Tzung Chien and Frank Soong, “An evidence framework for Bayesian learning of continuous-density hidden Markov models", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3857-3860, Taipei-Taiwan, April 2009.
  70. Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, Sadaoki Furui, “Independent component analysis for noisy speech recognition", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4369-4372, Taipei-Taiwan, April 2009.
  71. Ying-Lang Chang and Jen-Tzung Chien, “Latent Dirichlet learning for document summarization", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1689-1692, Taipei-Taiwan, April 2009.
  72. Jung-Chun Chen and Jen-Tzung Chien , “Bayesian large margin hidden Markov models for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3765-3768, Taipei-Taiwan, April 2009.
  73. Jen-Tzung Chien and Chuang-Hua Chueh, “Latent Dirichlet language model for speech recognition”, Proc. of IEEE Workshop on Spoken Language Technology (SLT), pp. 201-204, Goa-India, December 2008.
  74. Chuang-Hua Chueh and Jen-Tzung Chien, “Continuous topic language modeling for speech recognition”, Proc. of IEEE Workshop on Spoken Language Technology (SLT), pp. 193-196, Goa-India, December 2008.
  75. Ying-Lang Chang and Jen-Tzung Chien, “Language model adaptation for relevance feedback in information retrieval”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 109-112, Kunming-China, December 2008.
  76. Meng-Sung Wu and Jen-Tzung Chien, “Bayesian latent topic clustering model”, Proc. of INTERSPEECH, pp. 2162-2165, Brisbane-Australia, September 2008.
  77. Chuan-Wei Ting, Kuo-Yuan Lee and Jen-Tzung Chien, “Adaptive HMM topology for speech recognition”, Proc. of INTERSPEECH, pp. 1237-1240, Brisbane-Australia, September 2008.
  78. Chih-Pin Liao and Jen-Tzung Chien, “Graphical modeling of conditional random fields for human motion recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1969-1972, Las Vegas, April 2008.
  79. Jen-Tzung Chien ,Hsin-Lung Hsieh and S. Furui, “A new mutual information measure for independent component alalysis”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1817-1820, Las Vegas, April 2008.
  80. Chuang-Hua Chueh and Jen-Tzung Chien, “Reliable feature selection for language model adaptation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5089–5092, Las Vegas, April 2008.
  81. Chuan-Wei Ting and Jen-Tzung Chien, “Factor analysis of acoustic features for streamed hidden Markov modeling”, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 30-35, Kyoto-Japan, December 2007.
  82. Sibel Yaman, Jen-Tzung Chien and Chin-Hui Lee, “Structural Bayesian language modeling and adaptation”, Proc. of European Conference on Speech Communication and Technology (INTERSPEECH), pp. 2365-2368, Antwerp-Belgium, August 2007.
  83. Jen-Tzung Chien, Koichi Shinoda and Sadaoki Furui, “Predictive minimum Bayes risk classification for robust speech recognition”, Proc. of European Conference on Speech Communication and Technology (INTERSPEECH), pp. 1062-1065, Antwerp-Belgium, August 2007.
  84. Meng-Sung Wu and Jen-Tzung Chien, “Minimum rank error training for language modeling”, Proc. of European Conference on Speech Communication and Technology (INTERSPEECH), pp. 614-617, Antwerp-Belgium, August 2007.
  85. Jen-Tzung Chien and Jung-Chun Chen, “Recursive Bayesian regression modeling and learning”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, pp. 557-560, Hawaii, April 2007.
  86. Jen-Tzung Chien and Chuan-Wei Ting, “Subspace modeling and selection for noisy speech recognition”, Proc. of International Conference on Spoken Language Processing (INTERSPEECH), pp. 789-792, Pittsburgh, September 2006.
  87. Jen-Tzung Chien, Chih-Hsien Huang, Koichi Shinoda and Sadaoki Furui, “Towards optimal Bayes decision for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 45-48, Toulouse-France, May 2006.
  88. Chuang-Hua Chueh and Jen-Tzung Chien, “Maximum entropy modeling of acoustic and linguistic Features”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 1061-1064, Toulouse-France, May 2006.
  89. Chih-Pin Liao and Jen-Tzung Chien, “Maximum confidence hidden Markov modeling”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. 549-552, Toulouse-France, May 2006.
  90. Jen-Tzung Chien, Meng-Sung Wu and Chia-Sheng Wu, “Bayesian learning for latent semantic analysis”, Proc. of European Conference on Speech Communication and Technology (INTERSPEECH), pp. 25-28, Lisbon, September 2005.
  91. Chuang-Hua Chueh, To-Chang Chien and Jen-Tzung Chien, “Discriminative maximum entropy language model for speech recognition”, Proc. of European Conference on Speech Communication and Technology (INTERSPEECH), pp. 721-724, Lisbon, September 2005.
  92. Jen-Tzung Chien and Bo-Cheng Chen, “Independent component analysis using nonparametric likelihood ratio criterion”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 5, pp. 173-176, Philadelphia, March 2005.
  93. Chih-Hsien Huang and Jen-Tzung Chien, “Aggregate a posteriori linear regression for speaker adaptation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, vol. 1, pp. 973-976, March 2005.
  94. Chih-Pin Liao and Jen-Tzung Chien, “Nonsingular discriminant feature extraction for face recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 2, pp. 957-960, Philadelphia, March 2005.
  95. Jen-Tzung Chien and Chih-Hsien Huang, “Aggregate a posteriori linear regression adaptation of hidden Markov models”, Proc. of Workshop on Statistical Modeling Approach for Speech Recognition Beyond HMM, pp. 73-78, Kyoto, December 2004.
  96. Jen-Tzung Chien and Hung-Ying Chen, “Mining of association patterns for language modeling”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 2, pp. 1369-1372, Jeju Island-Korea, October 2004.
  97. Jen-Tzung Chien, Meng-Sung Wu and Hua-Jui Peng, “On latent semantic language modeling and smoothing”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 2, pp. 1373-1376, Jeju Island-Korea, October 2004.
  98. Jen-Tzung Chien and Chuan-Wei Ting, “Speaker identification using probabilistic PCA model selection”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 3, pp. 1785-1788, Jeju Island-Korea, October 2004.
  99. Jen-Tzung Chien and Chih-Hsien Huang, “Bayesian duration modeling and learning for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 1005-1008, Montreal, May 2004.
  100. Jen-Tzung Chien and Sadaoki Furui, “Predictive hidden Markov model selection for decision tree state tying”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), pp. 2701-2704, Geneva, September 2003.
  101. Jen-Tzung Chien and Po-Yin Lai, “Car speech enhancement using microphone array beamforming and post filters”, Proc. of 9th Australian International Conference on Speech Science and Technology, pp. 568-573, Melbourne, December 2002.
  102. Jen-Tzung Chien, Chih-Hsien Huang and Shun-Ju Chen, “Compact decision trees with cluster validity for speech recognition”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 873-876, Orlando, May 2002.
  103. Jen-Tzung Chien, “Combined linear regression adaptation and Bayesian predictive classification for robust speech recognition”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), vol. 2, pp. 1131-1134, Aalborg-Denmark, September 2001.
  104. Jen-Tzung Chien, “A Bayesian prediction approach to robust speech recognition and online speaker adaptation”, Proc. of Workshop on Adaptation Methods for Speech Recognition, pp. 77-80, Sophia-Antipolis, France, August 2001.
  105. Jen-Tzung Chien and Chih-Hsien Huang, “Online speaker adaptation based on quasi-Bayes linear regression”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, Salt Lake City, May 2001.
  106. Jen-Tzung Chien, Jian-Rui Lai and Po-Yin Lai “Microphone array signal processing for far-talking speech recognition”, Proc. of 2001 IEEE Third Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp. 322-325, Taoyuan-Taiwan, March 2001.
  107. Jen-Tzung Chien and Guo-Hong Liao, “Transformation-based Bayesian predictive classification for online environmental learning and robust speech recognition”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 4, pp. 544-547, Beijing, October 2000.
  108. Jen-Tzung Chien, “Online unsupervised learning of HMM parameters for speaker adaptation”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), pp. 331-334, Beijing, October 2000.
  109. Jen-Tzung Chien, Jean-Claude Junqua and Philippe Gelin, “Extraction of reliable transformation parameters for unsupervised speaker adaptation”, Proc. of European Conference on Speech Communication and Technology (EUROSPEECH), vol. 1, pp. 207-210, Budapest, September 1999.
  110. Jen-Tzung Chien, “Hybrid adaptation of tree structure and hidden Markov models for robust speech recognition”, Proc. of Workshop on Robust Methods for Speech Recognition in Adverse Conditions, pp. 131-134, Tampere-Finland, May 1999.
  111. Patrick Nguyen, Philippe Gelin, Jean-Claude Junqua and Jen-Tzung Chien, “N-best based supervised and unsupervised adaptation for native and non-native speakers in cars”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 173-176, Phoenix, March 1999.
  112. Jen-Tzung Chien, “On-line hierarchical transformation of hidden Markov models for speaker adaptation”, Proc. of International Conference on Spoken Language Processing (ICSLP), vol. 6, pp. 2295-2298, Sydney, December 1998.