117 citations · 129 across the 2 of their papers we have counts for
2 papers
eess.AS2021★ 12 cited
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech
Katrin Tomanek, Françoise Beaufays, Julie Cattiau +2
While current state-of-the-art Automatic Speech Recognition (ASR) systems achieve high accuracy on typical speech, they suffer from significant performance degradation on disordere…
cs.CL2019★ 117 cited
Personalizing ASR for Dysarthric and Accented Speech with Limited Data
Joel Shor, Dotan Emanuel, Oran Lang +9
Automatic speech recognition (ASR) systems have dramatically improved over the last few years. ASR systems are most often trained from 'typical' speech, which means that underrepre…