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.

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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

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article

Open source platform for Estonian speech transcription

Tanel Alumäe, Aivo Olev
Language Resources and Evaluation
Speech Recognition and Synthesis
article

Open source platform for Estonian speech transcription

Tanel Alumäe, Aivo Olev
article en

Abstract

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.

Language Resources and EvaluationVol. 59(4)
Tallinn University of Technology (EE)
European Regional Development Fund, European Social Fund
Openalex Percentile: Top 84%
Speech Recognition and Synthesis
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