Version Control for Speech Corpora

Vlad-Andrei Dumitru*, Matthias Boehm, Martin Hagmüller, Barbara Schuppler

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

While the audio recordings of a corpus represent the ground truth, transcriptions are – in the case of manual annotations – subject to human error, and subject to changes related to technology improvements underpinning automated annotation methods. In order to facilitate the dynamic extension of speech corpora, we introduce Speechcake, a tool for centralized version control for speech corpora, enabling the automatic check-in and merging of annotations. It considers typical workflows of phoneticians, linguists and speech technologists, and enables the development of dynamic, collaborative, and perpetually-improving speech corpora.
Original languageEnglish
Title of host publicationProceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)
PublisherAssociation for Computational Linguistics (ACL)
Pages303-308
Publication statusPublished - 2024
Event20th Conference on Natural Language Processing, KONVENS 2024 - Vienna, Austria
Duration: 10 Sept 202413 Sept 2024

Conference

Conference20th Conference on Natural Language Processing, KONVENS 2024
Country/TerritoryAustria
CityVienna
Period10/09/2413/09/24

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