Conference Papers

  1. Jen-Tzung Chien and Kai-Wei Tsou, “Convolutional neural Turing machine for speech separation”, Proc. of International Symposium on Chinese Spoken Language Processing (ISCSLP), Taipei, November 2018.
  2. Che-Yu Kuo and Jen-Tzung Chien, “Markov recurrent neural networks”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Aalborg-Denmark, September 2018.
  3. Jen-Tzung Chien and Ting-An Lin, “Supportive attention in end-to-end memory networks”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Aalborg-Denmark, September 2018.
  4. Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin and Jun Guo, “BALSON: Bayesian least squares optimization with nonnegative l1-norm constraint”, Proc. of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, Aalborg-Denmark, September 2018.
  5. Jen-Tzung Chien, “Deep Bayesian learning and understanding”, Proc. of International Conference on Computational Linguistics (COLING), Santa Fe-New Mexico, August 2018.
  6. Huan-Hsin Tseng, B. Rosen, K. Brock, A. Eisbruch, M. Mierzwa, Jen-Tzung Chien, Randall K. Ten Haken and Issam El Naqa, “A recurrent neural network for xerostomia prediction in head and neck cancer from daily CBCT images”, Proc. of AAPM Annual Meeting & Exhibition, Nashville, July 2018.
  7. Weiwei Lin, Man-Wai Mak, Longxin Li and Jen-Tzung Chien, “Reducing domain mismatch by maximum mean discrepancy autoencoders”, Proc. of Speaker and Language Recognition Workshop (Odyssey), pp. 162-167, Les Sables d’Olonne-France, June 2018.
  8. Jen-Tzung Chien and Kang-Ting Peng, “Adversarial learning and augmentation for speaker recognition”, Proc. of Speaker and Language Recognition Workshop (Odyssey), pp. 342-348, Les Sables d’Olonne-France, June 2018.
  9. Jen-Tzung Chien and Kuan-Ting Kuo, “Spectro-temporal neural factorization for speech dereverberation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5449-5453, Calgary-Canada, April 2018.
  10. Jen-Tzung Chien and Kai-Wei Tsou, “Recall neural network for source separation”, Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2956-2960, Calgary-Canada, April 2018.
  11. Jen-Tzung Chien and Kang-Ting Peng, “Adversarial manifold learning for speaker recognition”, Proc. of IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pp. 599-605, Okinawa-Japan, December 2017.
  12. Fangyi Zhu, Xiaoxu Li, Zhanyu Ma, Guang Chen, Pai Peng, Xiaowei Guo, Jen-Tzung Chien and Jun Guo, “Image-text dual model for small-sample image classification”, Proc. of CCF Chinese Conference on Computer Vision (CCCV), pp. 556-565, Tianjin-China, October 2017.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Jen-Tzung Chien and Ching-Wei Huang, “Variational and adversarial domain adaptation”, Proc. of International Workshop on Symbolic-Neural Learning (SNL), Nagoya, July 2017.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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.
  60. 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)
  61. 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.
  62. 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
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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.
  84. 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.
  85. 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.
  86. 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.
  87. 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.
  88. Meng-Sung Wu and Jen-Tzung Chien, “Bayesian latent topic clustering model”, Proc. of INTERSPEECH, pp. 2162-2165, Brisbane-Australia, September 2008.
  89. 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.
  90. 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.
  91. 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.
  92. 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.
  93. 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.
  94. 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.
  95. 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.
  96. 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.
  97. 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.
  98. 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.
  99. 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.
  100. 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.
  101. 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.
  102. 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.
  103. 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.
  104. 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.
  105. 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.
  106. 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.
  107. 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.
  108. 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.
  109. 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.
  110. 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.
  111. 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.
  112. 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.
  113. 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.
  114. 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.
  115. 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.
  116. 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.
  117. 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.
  118. 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.
  119. 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.
  120. 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.
  121. 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.
  122. 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.
  123. 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.
  124. 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.