523 citations · 1.4k across the 23 of their papers we have counts for
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Assessing ASR Model Quality on Disordered Speech using BERTScore
Jimmy Tobin, Qisheng Li, Subhashini Venugopalan +3
Word Error Rate (WER) is the primary metric used to assess automatic speech recognition (ASR) model quality. It has been shown that ASR models tend to have much higher WER on speak…
Is Attention All That NeRF Needs?
Mukund Varma T, Peihao Wang, Xuxi Chen +3
We present Generalizable NeRF Transformer (GNT), a transformer-based architecture that reconstructs Neural Radiance Fields (NeRFs) and learns to renders novel views on the fly from…
Context-Aware Abbreviation Expansion Using Large Language Models
Shanqing Cai, Subhashini Venugopalan, Katrin Tomanek +3
Motivated by the need for accelerating text entry in augmentative and alternative communication (AAC) for people with severe motor impairments, we propose a paradigm in which phras…
TRILLsson: Distilled Universal Paralinguistic Speech Representations
Joel Shor, Subhashini Venugopalan
Recent advances in self-supervision have dramatically improved the quality of speech representations. However, deployment of state-of-the-art embedding models on devices has been r…