An efficient incremental likelihood evaluation for polynomial trajectory model using with application to model training and recognition. - Chak-Fai Li; Man-Hung Siu (ICASSP (1), 2003)

Training for polynomial segment model using the expectation maximization algorithm. - Chak-Fai Li; Man-Hung Siu (ICASSP (1), 2004)

Sub-phonetic Polynomial Segment Model for Large Vocabulary Continuous Speech Recognition. - Jeff Siu-Kei Au-Yeung; Chak-Fai Li; Man-Hung Siu (ICASSP (1), 2005)

Recursive likelihood evaluation and fast search algorithm for polynomial segment model with application to speech recognition. - Chak-Fai Li; Man-Hung Siu; Jeff Siu-Kei Au-Yeung (IEEE Trans. Speech Audio Process., 2006)

Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover; Owen Kimball (CoRR, 2021)

Combining Unsupervised and Text Augmented Semi-Supervised Learning For Low Resourced Autoregressive Speech Recognition. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover (ICASSP, 2022)

Training Autoregressive Speech Recognition Models with Limited in-domain Supervision. - Chak-Fai Li; Francis Keith; William Hartmann; Matthew Snover (CoRR, 2022)

TOGGL: Transcribing Overlapping Speech with Staggered Labeling. - Chak-Fai Li; William Hartmann; Matthew Snover (CoRR, 2024)

BBN-U.Oregon's ALERT system at GenAI Content Detection Task 3: Robust Authorship Style Representations for Cross-Domain Machine-Generated Text Detection. - Hemanth Kandula; Chak-Fai Li; Haoling Qiu; Damianos G. Karakos; Hieu Man; Thien Huu Nguyen; Brian Ulicny (COLING Workshops, 2025)