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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. ... : Accepted to Interspeech 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2102.01757
https://arxiv.org/abs/2102.01757
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2
A Corpus for Large-Scale Phonetic Typology ...
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3
Massively Multilingual Adversarial Speech Recognition ...
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4
Analysis of Multilingual Sequence-to-Sequence speech recognition systems ...
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5
Low-Resource Contextual Topic Identification on Speech ...
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Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling ...
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