Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Reference39 articles.
1. Leggetter, C. J., & Woodland, P. C. (1995). Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models. Computer Speech and Language, 9, 171–185.
2. Gales, M. J. F. (1998). Maximum likelihood linear transformations for HMM-based speech recognition. Computer Speech and Language, 12, 75–98.
3. Acero, A., & Deng, L., et al. (2000). HMM adaptation using vector taylor series for noisy speech recognition. In Proceedings of ICSLP.
4. Gales, M. J. F. (1995). Model-based techniques for noise robust speech recognition. In Ph.D. thesis, Cambridge: Cambridge University.
5. Hinton, G., Deng, L., et al. (2012). Deep Neural Networks for acoustic modeling in speech recognition: The shared views of four research groups. Signal Processing Magazine, IEEE, 29, 82–97.