Journal Papers

  1. Jen-Tzung Chien and Yi-Ting Bao, “Tensor factorized neural networks”, IEEE Transactions on Neural Networks and Learning Systems, 2017.
  2. Jen-Tzung Chien and Chao-Hsi Lee, “Deep unfolding for topic models”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
  3. Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Latent Dirichlet mixture model”, Neurocomputing, September 2017.
  4. Wei-wei Lin, Man-Wai Mak, Jen-Tzung Chien“Fast scoring for PLDA with uncertainty propagation via i-vector grouping”, Computer Speech and Language, vol. 45, pp. 503-515, September, 2017.
  5. Na Li, Man-Wai Mak and Jen-Tzung Chien“DNN-driven mixture of PLDA for robust speaker verification”IEEE/ACM Transactions on Audio, Speech and Language Processing, pp. 1371-1388, June 2017.
  6. Na Li, Man-Wai Mak, Wei-wei Lin and Jen-Tzung Chien, “Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification”, Computer Speech and Language, vol. 45, pp. 83-103, April 2017.
  7. Jen-Tzung Chien, “Hierarchical theme and topic modeling”, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 3, pp. 565-578, March 2016.
  8. Jen-Tzung Chien and Yuan-Chu Ku, “Bayesian recurrent neural network for language modeling”, IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 361-374, February 2016.
  9. Jen-Tzung Chien and Po-Kai Yang, “Bayesian factorization and learning for monaural source separation”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 1, pp. 185-195, January 2016.
  10. Man-Wai Mak, Xiaomin Pang and Jen-Tzung Chien, “Mixture of PLDA for noise robust i-vector speaker verification”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 1, pp. 130-142, January 2016.
  11. Jen-Tzung Chien, “Hierarchical Pitman-Yor-Dirichlet language model”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 8, pp. 1259-1272, August 2015.
  12. Jen-Tzung Chien, “Laplace group sensing for acoustic models”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 5, pp. 909-922, May 2015.
  13. Jen-Tzung Chien and Ying-Lan Chang, "Bayesian sparse topic model", Journal of Signal Processing Systems, vol. 74, no. 3, pp. 375-389, March 2014.
  14. Jen-Tzung Chien and Hsin-Lung Hsieh, "Bayesian group sparse learning for music source separation", EURASIP Journal on Audio, Speech, and Music Processing, 2013:18, 2013.
  15. Jen-Tzung Chien and Hsin-Lung Hsieh, "Nonstationary source separation using sequential and variational Bayesian learning", IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 5, pp. 681-694, May 2013.
  16. George Saon and Jen-Tzung Chien, "Large-vocabulary continuous speech recognition systems – a look at some recent advances", IEEE Signal Processing Magazine, vol. 29, no. 6, pp. 18-33, November 2012.
  17. Xiaodong Cui, Jing Huang and Jen-Tzung Chien, "Multi-view and multi-objective semi-supervised learning for HMM-based automatic speech recognition", IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 7, pp. 1923-1935, September 2012.
  18. Jen-Tzung Chien and Hsin-Lung Hsieh, "Convex divergence ICA for blind source separation", IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 290-301, January 2012.
  19. Jen-Tzung Chien and Chuang-Hua Chueh, "Topic-based hierarchical segmentation", IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 55-66, January 2012.
  20. George Saon and Jen-Tzung Chien, "Bayesian sensing hidden Markov models", IEEE Transactions on Audio, Speech and Language Processing, vol. 20, no. 1, pp. 43-54, January 2012.
  21. Jen-Tzung Chien and Chuang-Hua Chueh, "Dirichlet class language models for speech recognition", IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 3, pp. 482-495, March 2011.
  22. Jen-Tzung Chien and Chuang-Hua Chueh, "Joint acoustic and language modeling for speech recognition", Speech Communication, vol. 52, no. 3, pp. 223 - 235, March 2010.
  23. Jen-Tzung Chien and Chuan-Wei Ting, "Acoustic factor analysis for streamed hidden markov modeling", IEEE Transactions on Audio, Speech, and Language Processing, vol. 17, no. 7, pp. 1279 - 1291, September 2009.
  24. Jen-Tzung Chien and Meng-Sung Wu, “Minimum rank error language modeling”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 17, no. 2, pp. 267 - 276, February 2009.
  25. Jen-Tzung Chien and Jung-Chun Chen, “Recursive bayesian linear regression for adaptive Classification”, IEEE Transactions on Signal Processing, vol. 57, no. 2, pp. 565 - 575, February 2009.
  26. Jen-Tzung Chien and Chin-Pin Liao, “Maximum confidence hidden markov modeling for face recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 4, pp. 606 - 616, April 2008.
  27. Jen-Tzung Chien and Chuan-Wei Ting, “Factor analyzed subspace modeling and selection”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 16,no 1, pp. 239 - 248, Jan. 2008.
  28. Jen-Tzung Chien and Meng-Sung Wu, “Adaptive bayesian latent semantic analysis”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 16,no 1, pp. 198-207, Jan. 2008.
  29. Jen-Tzung Chien, “Association pattern language modeling”, IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, no. 5, pp. 1719-1728, September 2006.
  30. Jen-Tzung Chien and Bo-Cheng Chen, “A new independent component analysis for speech recognition and separation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 4, pp. 1245-1254, July 2006.
  31. Jen-Tzung Chien and Chih-Hsien Huang, “Aggregate a posteriori linear regression adaptation”, IEEE Transactions on Audio, Speech and Language Processing, vol. 14, no. 3, pp. 797-807, May 2006.
  32. Jen-Tzung Chien and Sadaoki Furui, “Predictive hidden Markov model selection for speech recognition”, IEEE Transactions on Speech and Audio Processing, vol. 13, no. 3, pp. 377-387, May 2005.
  33. Jen-Tzung Chien, “Decision tree state tying using cluster validity criteria”, IEEE Transactions on Speech and Audio Processing, vol. 13, no. 2, pp. 182-193, March 2005.
  34. Jen-Tzung Chien and Po-Yin Lai, “Car speech enhancement using a microphone array”, International Journal of Speech Technology, vol. 8, no. 1, pp. 79-91, January 2005.
  35. Jen-Tzung Chien, Meng-Sung Wu and Hua-Jui Peng, “Latent semantic language modeling and smoothing”, International Journal of Computational Linguistics and Chinese Language Processing, vol. 9, no. 2, pp. 29-44, August 2004.
  36. Jen-Tzung Chien and Jain-Ray Lai, “Use of microphone array and model adaptation for hands-free speech acquisition and recognition”, Journal of VLSI Signal Processing Systems, vol. 36, no. 2-3, pp. 141-151, February-March 2004.
  37. Jen-Tzung Chien and Chih-Hsien Huang, “Bayesian learning of speech duration models”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 6, pp. 558-567, November 2003.
  38. Jen-Tzung Chien, “Linear regression based Bayesian predictive classification for speech recognition”, IEEE Transactions on Speech and Audio Processing, vol. 11, no. 1, pp. 70-79, January 2003.
  39. Jen-Tzung Chien and Chia-Chen Wu, “Discriminant waveletfaces and nearest feature decisions for face recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1644-1649, December 2002.
  40. Jen-Tzung Chien, “Quasi-Bayes linear regression for sequential learning of hidden Markov models”, IEEE Transactions on Speech and Audio Processing, vol. 10, no. 5, pp. 268-278, July 2002.
  41. Jen-Tzung Chien, “A Bayesian prediction approach to robust speech recognition and online environmental learning”, Speech Communication, vol. 37, nos. 3-4, pp. 321-334, July 2002.
  42. Jen-Tzung Chien, “Adaptive hierarchy of hidden Markov models for transformation-based adaptation”, Speech Communication, vol. 36, nos. 3-4, pp. 291-304, March 2002.
  43. Jen-Tzung Chien, “Online unsupervised learning of hidden Markov models for adaptive speech recognition”, IEE Proceedings – Vision, Image and Signal Processing, vol. 148, no. 5, pp. 315-324, October 2001.
  44. Jen-Tzung Chien and Guo-Hong Liao, “Transformation-based Bayesian predictive classification using online prior evolution”, IEEE Transactions on Speech and Audio Processing, vol. 9, no. 4, pp. 399-410, May 2001.
  45. Jen-Tzung Chien and Ming-Shung Lin, “Frame-synchronous noise compensation for hands-free speech recognition in car environments”, IEE Proceedings – Vision, Image and Signal Processing, vol. 147, no. 6, pp.508-515, December 2000.
  46. Jen-Tzung Chien and Jean-Claude Junqua, “Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters”, Speech Communication, vol. 30, no. 4, pp. 235-253, April 2000.
  47. Jen-Tzung Chien, “Online hierarchical transformation of hidden Markov models for speech recognition”, IEEE Transactions on Speech and Audio Processing, vol. 7, no. 6, pp. 656-667, November 1999.