most citedSpeech Synthesis as Augmentation for Low-Resource ASR

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

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…

cs.CL2020★ 2 cited

Speech Synthesis as Augmentation for Low-Resource ASR

Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang +1

Speech synthesis might hold the key to low-resource speech recognition. Data augmentation techniques have become an essential part of modern speech recognition training. Yet, they…