all AI news
Assessing ASR Model Quality on Disordered Speech using BERTScore. (arXiv:2209.10591v1 [eess.AS])
Sept. 23, 2022, 1:15 a.m. | Jimmy Tobin, Qisheng Li, Subhashini Venugopalan, Katie Seaver, Richard Cave, Katrin Tomanek
cs.CL updates on arXiv.org arxiv.org
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 speakers with speech impairments than typical English
speakers. It is hard to determine if models can be be useful at such high error
rates. This study investigates the use of BERTScore, an evaluation metric for
text generation, to provide a more informative measure of ASR model quality and
usefulness. …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Senior Data Engineer
@ Publicis Groupe | New York City, United States
Associate Principal Robotics Engineer - Research.
@ Dyson | United Kingdom - Hullavington Office
Duales Studium mit vertiefter Praxis: Bachelor of Science Künstliche Intelligenz und Data Science (m/w/d)
@ Gerresheimer | Wackersdorf, Germany
AI/ML Engineer (TS/SCI) {S}
@ ARKA Group, LP | Aurora, Colorado, United States
Data Integration Engineer
@ Find.co | Sliema
Data Engineer
@ Q2 | Bengaluru, India