Paper Info
Title
The Multilingual TEDx Corpus for Speech Recognition and Translation.
Abstract
We present the Multilingual TEDx corpus, built to support speech recognition (ASR) and speech translation (ST) research across many non-English source languages. The corpus is a collection of audio recordings from TEDx talks in 8 source languages. We segment transcripts into sentences and align them to the source-language audio and target-language translations. The corpus is released along with open-sourced code enabling extension to new talks and languages as they become available. Our corpus creation methodology can be applied to more languages than previous work, and creates multi-way parallel evaluation sets. We provide baselines in multiple ASR and ST settings, including multilingual models to improve translation performance for low-resource language pairs.
Year
DOI
Venue
2021
10.21437/Interspeech.2021-11
Interspeech
DocType
Citations 
PageRank 
Conference
2
0.38
References 
Authors
0
8
Name
Order
Citations
PageRank
elizabeth salesky1116.29
Matthew Wiesner221.39
Jacob Bremerman320.38
R. Cattoni4265.38
Matteo Negri577582.49
Marco Turchi656057.79
Douglas W. Oard722.07
Matt Post841435.72