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Mining the Spoken Wikipedia for Speech Data and Beyond

  • We present a corpus of time-aligned spoken data of Wikipedia articles as well as the pipeline that allows to generate such corpora for many languages. There are initiatives to create and sustain spoken Wikipedia versions in many languages and hence the data is freely available, grows over time, and can be used for automatic corpus creation. Our pipeline automatically downloads and aligns this data. The resulting German corpus currently totals 293h of audio, of which we align 71h in full sentences and another 86h of sentences with some missing words. The English corpus consists of 287h, for which we align 27h in full sentence and 157h with some missing words. Results are publically available.

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Metadaten
Author:Arne Köhn, Florian Stegen, Timo BaumannORCiDGND
URL / DOI:https://aclanthology.org/L16-1735
Parent Title (English):Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Publisher:European Language Resources Association (ELRA)
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2016
Release Date:2022/11/25
Tag:Long Audio Alignment; Speech Resource; Spoken Wikipedia
First Page:4644
Last Page:4647
Institutes:Fakultät Informatik und Mathematik
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
research focus:Information und Kommunikation
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG