13 citations · 25 across the 13 of their papers we have counts for
4 papers · 1 filter
WAXAL: A Large-Scale Multilingual African Language Speech Corpus
Abdoulaye Diack, Perry Nelson, Kwaku Agbesi +40
The advancement of speech technology has predominantly favored high-resource languages, creating a significant digital divide for speakers of most Sub-Saharan African languages. To…
Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin +3
We introduce a large language model (LLM) capable of processing speech inputs and show that tuning it further with reinforcement learning on human preference (RLHF) enables it to a…
Towards a Single ASR Model That Generalizes to Disordered Speech
Jimmy Tobin, Katrin Tomanek, Subhashini Venugopalan
This study investigates the impact of integrating a dataset of disordered speech recordings (1,000 hours) into the fine-tuning of a near state-of-the-art ASR baseline system.…
Speech Intelligibility Classifiers from 550k Disordered Speech Samples
Subhashini Venugopalan, Jimmy Tobin, Samuel J. Yang +7
We developed dysarthric speech intelligibility classifiers on 551,176 disordered speech samples contributed by a diverse set of 468 speakers, with a range of self-reported speaking…