all AI news
Assessing ASR Model Quality on Disordered Speech using BERTScore. (arXiv:2209.10591v1 [eess.AS])
Sept. 23, 2022, 1:11 a.m. | Jimmy Tobin, Qisheng Li, Subhashini Venugopalan, Katie Seaver, Richard Cave, Katrin Tomanek
cs.LG 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.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Business Intelligence Developer / Analyst
@ Transamerica | Work From Home, USA
Data Analyst (All Levels)
@ Noblis | Bethesda, MD, United States