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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
End-to-end ASR to jointly predict transcriptions and linguistic annotations ...
NAACL 2021 2021; Fujita, Yuya; Omachi, Motoi. - : Underline Science Inc., 2021
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3
A Corpus for Large-Scale Phonetic Typology ...
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4
A Corpus for Large-Scale Phonetic Typology ...
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A corpus for large-scale phonetic typology
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6
A Corpus for Large-Scale Phonetic Typology
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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7
Massively Multilingual Adversarial Speech Recognition ...
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8
Analysis of Multilingual Sequence-to-Sequence speech recognition systems ...
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9
Low-Resource Contextual Topic Identification on Speech ...
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10
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling ...
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