Current and future trends in speech-to-text interpreting: innovations and challenges

As automatic speech recognition (ASR) technology continues to evolve, it is transforming the way we handle real-time transcription and live multilingual translation. This webinar will delve into key advancements, address the persistent quality challenges and highlight the increasing necessity to pre-edit ASR output to enhance both accuracy and reliability.

Speaker Axel "Axelio" Schiller is a full-time language professional based in Tallinn, Estonia. As a certified speech-to-text interpreter with several years of experience, he provides live captions and other language-based accessibility services to clients with hearing difficulties and wider audiences as well as in multilingual settings. His experience in the speech-to-text field also includes automatic speech recognition (ASR) and translation as well as pre- and post-editing for ASR.

Host organization: ZHAW Zurich University of Applied Sciences, IUED Institute of Translation and Interpreting