Open source platform for Estonian speech transcription.
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...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 4; pp. 4421 - 4439 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=189912012&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 189912012 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Dec2025 vid: 59 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 189912012 10.1007/s10579-024-09777-1 ppf: 4421 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P size: 945KB tig: atl: Open source platform for Estonian speech transcription. aug: au: Olev, Aivo Alumäe, Tanel affil: https://ror.org/0443cwa12 Tallinn University of Technology, Tallinn, Estonia su: Open source software Estonian language Transcription (Linguistics) Workflow management systems Speech perception sug: subj: Open source software Estonian language Transcription (Linguistics) Workflow management systems Speech perception keyword: Automatic speech recognition Information and Computing Sciences Artificial Intelligence and Image Processing Information Systems NLP platform Speaker identification Transcription editing Workflow management system ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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