Name: CoVoST 2
Description: 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
Provider: Facebook AI
Paper Title: CoVoST 2 and Massively Multilingual Speech-to-Text Translation
Tasks: speech recognition
Venue Name: nan
Authors: Changhan Wang, Anne Wu, Juan Pino
  
Abstract: 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