LibriVoxDeEn - A Corpus for German-to-English Speech Translation and Speech Recognition

DOI

This dataset is a corpus of sentence-aligned triples of German audio, German text, and English translation, based on German audio books. The corpus consists of over 100 hours of audio material and over 50k parallel sentences. The speech data are low in disfluencies because of the audio book setup. The quality of audio and sentence alignments has been checked by a manual evaluation, showing that that speech alignment is in general very high. The sentence alignment quality is comparable to well-used parallel translation data and can be adjusted by cutoffs on the automatic alignment score. To our knowledge, this corpus is to date the largest resource for end-to-end speech translation for German.

Identifier
DOI https://doi.org/10.11588/data/TMEDTX
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/TMEDTX
Provenance
Creator Beilharz, Benjamin; Sun, Xin
Publisher heiDATA
Contributor Riezler, Stefan; Statistical NLP Group, Department of Computational Linguistics
Publication Year 2019
Funding Reference German research foundation (DFG) RI2221/4-1
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Riezler, Stefan (Department of Computational Linguistics, Heidelberg University, Heidelberg, Germany)
Representation
Resource Type Dataset
Format application/gzip; text/markdown
Size 21837360314; 18433481150; 4421
Version 2.0
Discipline Other
Spatial Coverage Heidelberg