A comparative study of fMPE and RDLT approaches to LVCSR
暂无分享,去创建一个
Jian Xu | Zhi-Jie Yan | Qiang Huo | Qiang Huo | Zhijie Yan | Jian Xu
[1] David Miller,et al. The Fisher Corpus: a Resource for the Next Generations of Speech-to-Text , 2004, LREC.
[2] Brian Kingsbury,et al. Boosted MMI for model and feature-space discriminative training , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[3] S. Kullback,et al. Information Theory and Statistics , 1959 .
[4] Richard M. Schwartz,et al. Recent progress on the discriminative region-dependent transform for speech feature extraction , 2006, INTERSPEECH.
[5] Lukás Burget,et al. Region dependent linear transforms in multilingual speech recognition , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Geoffrey Zweig,et al. fMPE: discriminatively trained features for speech recognition , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[7] Martin Karafi. iVector-Based Discriminative Adaptation for Automatic Speech Recognition , 2011 .
[8] Lukás Burget,et al. iVector-based discriminative adaptation for automatic speech recognition , 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.
[9] George Saon,et al. Maximum likelihood discriminant feature spaces , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).
[10] Richard M. Schwartz,et al. Discriminatively Trained Region Dependent Feature Transforms for Speech Recognition , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[11] Daniel Povey,et al. Improvements to fMPE for discriminative training of features , 2005, INTERSPEECH.
[12] John J. Godfrey,et al. SWITCHBOARD: telephone speech corpus for research and development , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[13] Bin Ma,et al. Online adaptive learning of continuous-density hidden Markov models based on multiple-stream prior evolution and posterior pooling , 2001, IEEE Trans. Speech Audio Process..