no code implementations • LREC 2022 • Tomasz Korybski, Elena Davitti, Constantin Orasan, Sabine Braun
In this paper, we present a semi-automated workflow for live interlingual speech-to-text communication which seeks to reduce the shortcomings of existing ASR systems: a human respeaker works with a speaker-dependent speech recognition software (e. g., Dragon Naturally Speaking) to deliver punctuated same-language output of superior quality than obtained using out-of-the-box automatic speech recognition of the original speech.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 6 Feb 2024 • Jaleh Delfani, Constantin Orasan, Hadeel Saadany, Ozlem Temizoz, Eleanor Taylor-Stilgoe, Diptesh Kanojia, Sabine Braun, Barbara Schouten
This study explores the use of Google Translate (GT) for translating mental healthcare (MHealth) information and evaluates its accuracy, comprehensibility, and implications for multilingual healthcare communication through analysing GT output in the MHealth domain from English to Persian, Arabic, Turkish, Romanian, and Spanish.