3 citations · 4 across the 4 of their papers we have counts for
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cs.CL2021★ 1 cited
Combining Unsupervised and Text Augmented Semi-Supervised Learning for Low Resourced Autoregressive Speech Recognition
Chak-Fai Li, Francis Keith, William Hartmann +1
Recent advances in unsupervised representation learning have demonstrated the impact of pretraining on large amounts of read speech. We adapt these techniques for domain adaptation…
cs.CL2021★ 3 cited
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts
Chak-Fai Li, Francis Keith, William Hartmann +2
Sequence-to-sequence (seq2seq) models are competitive with hybrid models for automatic speech recognition (ASR) tasks when large amounts of training data are available. However, da…