MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible

Marcely Zanon Boito, William Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier


Abstract
The CMU Wilderness Multilingual Speech Dataset (Black, 2019) is a newly published multilingual speech dataset based on recorded readings of the New Testament. It provides data to build Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) models for potentially 700 languages. However, the fact that the source content (the Bible) is the same for all the languages is not exploited to date.Therefore, this article proposes to add multilingual links between speech segments in different languages, and shares a large and clean dataset of 8,130 parallel spoken utterances across 8 languages (56 language pairs). We name this corpus MaSS (Multilingual corpus of Sentence-aligned Spoken utterances). The covered languages (Basque, English, Finnish, French, Hungarian, Romanian, Russian and Spanish) allow researches on speech-to-speech alignment as well as on translation for typologically different language pairs. The quality of the final corpus is attested by human evaluation performed on a corpus subset (100 utterances, 8 language pairs). Lastly, we showcase the usefulness of the final product on a bilingual speech retrieval task.
Anthology ID:
2020.lrec-1.799
Volume:
Proceedings of the 12th Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6486–6493
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.799
DOI:
Bibkey:
Cite (ACL):
Marcely Zanon Boito, William Havard, Mahault Garnerin, Éric Le Ferrand, and Laurent Besacier. 2020. MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible. In Proceedings of the 12th Language Resources and Evaluation Conference, pages 6486–6493, Marseille, France. European Language Resources Association.
Cite (Informal):
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible (Zanon Boito et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.799.pdf
Code
 getalp/mass-dataset
Data
MaSS