3 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cs.CL2021
Using heterogeneity in semi-supervised transcription hypotheses to improve code-switched speech recognition
Andrew Slottje, Shannon Wotherspoon, William Hartmann +2
Modeling code-switched speech is an important problem in automatic speech recognition (ASR). Labeled code-switched data are rare, so monolingual data are often used to model code-s…