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05/23/2023
Improving speech translation by fusing speech and text
In speech translation, leveraging multimodal data to improve model perfo...
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05/19/2023
DUB: Discrete Unit Back-translation for Speech Translation
How can speech-to-text translation (ST) perform as well as machine trans...
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12/19/2022
WACO: Word-Aligned Contrastive Learning for Speech Translation
End-to-end Speech Translation (E2E ST) aims to translate source speech i...
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06/28/2022
On the Impact of Noises in Crowd-Sourced Data for Speech Translation
Training speech translation (ST) models requires large and high-quality ...
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05/05/2022
Cross-modal Contrastive Learning for Speech Translation
How can we learn unified representations for spoken utterances and their...
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04/08/2022
GigaST: A 10,000-hour Pseudo Speech Translation Corpus
This paper introduces GigaST, a large-scale pseudo speech translation (S...
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03/20/2022
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation
How to learn a better speech representation for end-to-end speech-to-tex...
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05/16/2021
The Volctrans Neural Speech Translation System for IWSLT 2021
This paper describes the systems submitted to IWSLT 2021 by the Volctran...
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04/21/2021
End-to-end Speech Translation via Cross-modal Progressive Training
End-to-end speech translation models have become a new trend in the rese...
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02/04/2020