Recursive likelihood evaluation and fast search algorithm for polynomial segment model with application to speech recognition von LI, Chak-Fai, SIU, Man-Hung, AU-YEUNG, Jeff Siu-Kei

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Sub-phonetic polynomial segment model for large vocabulary continuous speech recognition von Siu-Kei Au Yeung, Chak-Fai Li, Man-Hung Siu

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TOGGL: Transcribing Overlapping Speech with Staggered Labeling von Li, Chak-Fai, Hartmann, William, Snover, Matthew

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Training for polynomial segment model using the expectation maximization algorithm von LI, Chak-Fai, SIU, Man-Hung

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Training Autoregressive Speech Recognition Models with Limited in-domain Supervision von Li, Chak-Fai, Keith, Francis, Hartmann, William, Snover, Matthew

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TOGGL: Transcribing Overlapping Speech with Staggered Labeling von Li, Chak-Fai, Hartmann, William, Snover, Matthew

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Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition von Li, Chak-Fai, Keith, Francis, Hartmann, William, Snover, Matthew

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Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts von Li, Chak-Fai, Keith, Francis, Hartmann, William, Snover, Matthew, Kimball, Owen

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Training Autoregressive Speech Recognition Models with Limited in-domain Supervision von Li, Chak-Fai, Francis, Keith, Hartmann, William, Snover, Matthew

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Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition von Li, Chak-Fai, Francis, Keith, Hartmann, William, Snover, Matthew

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Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts von Li, Chak-Fai, Francis, Keith, Hartmann, William, Snover, Matthew, Kimball, Owen

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An efficient incremental likelihood evaluation for polynomial trajectory model using with application to model training and recognition von Chak-Fai Li, Man-hung Siu

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