The Multilingual TEDx Corpus for Speech Recognition and Translation

• URL: http://arxiv.org/abs/2102.01757v1
• Date: Tue, 2 Feb 2021 21:16:25 GMT
• Title: The Multilingual TEDx Corpus for Speech Recognition and Translation
• Authors: Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, Matt Post
• Abstract summary: 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.
• Score: 30.993199499048824
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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