Mining the Spoken Wikipedia for Speech Data and Beyond

Arne Köhn, Florian Stegen, Timo Baumann


Abstract
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.
Anthology ID:
L16-1735
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
4644–4647
Language:
URL:
https://www.aclweb.org/anthology/L16-1735
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/L16-1735.pdf