Publication: Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021
Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021
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Zhang, B., & Sennrich, R. (2021, January 1). Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021. Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), Bangkok. https://doi.org/10.18653/v1/2021.iwslt-1.19
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This paper describes Edinburgh’s submissions to the IWSLT2021 multilingual speech translation (ST) task. We aim at improving multilingual translation and zero-shot performance in the constrained setting (without using any extra training data) through methods that encourage transfer learning and larger capacity modeling with advanced neural components. We build our end-to-end multilingual ST model based on Transformer, integrating techniques including adaptive speech feature selection, language-specific modeling, multi-task learning, d
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Zhang, B., & Sennrich, R. (2021, January 1). Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021. Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), Bangkok. https://doi.org/10.18653/v1/2021.iwslt-1.19
