Open source platform for Estonian speech transcription
Abstract This paper presents our progress in developing and maintaining a public speech and speaker recognition platform for the Estonian language. The platform consists of a speech processing pipeline and a web-based user interface for end-users, offering transcript post-editing functionality. It is offered for free as a public service and is in active use. The service provides significantly higher speech recognition accuracy than commercial alternatives. We discuss the switch to a workflow management system and how it has improved the core speech processing pipeline. The core systems behind the platform have been made available as open-source code and deployed internally by multiple public and private institutions.
Authors
- Tanel Alumäe (ORCID: https://orcid.org/0000-0001-5083-1556)
- Aivo Olev (ORCID: https://orcid.org/0000-0001-7213-1622)
Institutions
- Tallinn University of Technology (EE)
Publication Details
- Journal
- Language Resources and Evaluation
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1007/s10579-024-09777-1
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Regional Development Fund
- European Social Fund