1 citations · 1 across the 1 of their papers we have counts for
3 papers
Analyzing ASR pretraining for low-resource speech-to-text translation
Mihaela C. Stoian, Sameer Bansal, Sharon Goldwater
Previous work has shown that for low-resource source languages, automatic speech-to-text translation (AST) can be improved by pretraining an end-to-end model on automatic speech re…
Cross-lingual topic prediction for speech using translations
Sameer Bansal, Herman Kamper, Adam Lopez +1
Given a large amount of unannotated speech in a low-resource language, can we classify the speech utterances by topic? We consider this question in the setting where a small amount…
Towards speech-to-text translation without speech recognition
Sameer Bansal, Herman Kamper, Adam Lopez +1
We explore the problem of translating speech to text in low-resource scenarios where neither automatic speech recognition (ASR) nor machine translation (MT) are available, but we h…