Publication at Faculty of Mathematics and Physics |
2018
Abstract
This paper presents a next-generation web application that enables users to contribute corrections to automatically acquired transcription of long speech recordings. We describe differences from similar settings, compare our solution with others and reflect on the development from the now 6 years old work we build upon in the light of the progress made, lessons learned and the new technologies available in the browser.