Chak-Fai Li

Training for polynomial segment model using the expectation maximization algorithm

Man-Hung Siu, Chak-Fai Li, M. Siu, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

An efficient incremental likelihood evaluation for polynomial trajectory model using with application to model training and recognition

Chak-Fai Li, Man-hung Siu, M. Siu, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition

Matthew G. Snover, William Hartmann, Francis Keith, 2021, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recursive likelihood evaluation and fast search algorithm for polynomial segment model with application to speech recognition

Jeff Siu-Kei Au-Yeung, Man-Hung Siu, Chak-Fai Li, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Sub-phonetic polynomial segment model for large vocabulary continuous speech recognition

Jeff Siu-Kei Au-Yeung, Man-Hung Siu, Chak-Fai Li, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Training Autoregressive Speech Recognition Models with Limited in-domain Supervision

Matthew G. Snover, William Hartmann, Francis Keith, 2022, ArXiv.