CoVoST 2
a large-scale multilingual ST corpus based on Common Voice, to foster ST research with the largest ever open dataset. Its latest version covers translations from English into 15 languages---Arabic, Catalan, Welsh, German, Estonian, Persian, Indonesian, Japanese, Latvian, Mongolian, Slovenian, Swedish, Tamil, Turkish, Chinese
Facebook AI
CoVoST 2 and Massively Multilingual Speech-to-Text Translation
speech recognition
nan
Changhan Wang, Anne Wu, Juan Pino

Speech-to-text translation (ST) has recently become an increasingly popular topic of research,
partly due to the development of benchmark
datasets. Nevertheless, current datasets cover
a limited number of languages. With the aim
to foster research in massive multilingual ST
and ST for low resource language pairs, we
release CoVoST 2, a large-scale multilingual
ST corpus covering translations from 21 languages into English and from English into 15
languages. This represents the largest open
dataset available to date from total volume and
language coverage perspective. Data sanity
checks provide evidence about the quality of
the data, which is released under CC0 license.
We also provide extensive speech recognition,
bilingual and multilingual machine translation
and ST baselines with open-source implementation