Estonian Speech Recognition and Transcription Editing Service
Aivo Olev, Tanel Alumäe · Baltic Journal of Modern Computing · 2022
This paper describes the latest iteration of our Estonian speech recognition system and the publicly available transcription editing service.The system is now based on an end-to-end wav2vec2.0model.It achieves a word error rate of 6.9% on a test set of broadcast conversations.Besides recognition it performs speaker diarization, speaker identification, Estonian language detection, and punctuation restoration.The service consists of a speech processing pipeline, web server and a web-based user interface for end-users, offering transcript editing and speaker annotation functionality.The core components of the service have been made open-source and deployed internally by multiple public and private institutions.