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    <abstract>This paper describes the FBK’s participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year’s submission in the speech-to-text translation (ST) sub-track, we propose SimulSeamless, which is realized by combining AlignAtt and SeamlessM4T in its medium configuration. The SeamlessM4T model is used ‘off-the-shelf’ and its simultaneous inference is enabled through the adoption of AlignAtt, a SimulST policy based on cross-attention that can be applied without any retraining or adaptation of the underlying model for the simultaneous task. We participated in all the Shared Task languages (English-\textgreaterGerman, Japanese, Chinese, and Czech-\textgreaterEnglish), achieving acceptable or even better results compared to last year’s submissions. SimulSeamless, covering more than 143 source languages and 200 target languages, is released at: https://github.com/hlt-mt/FBK-fairseq/.</abstract>
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%0 Conference Proceedings
%T SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation
%A Papi, Sara
%A Gaido, Marco
%A Negri, Matteo
%A Bentivogli, Luisa
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Carpuat, Marine
%S Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand (in-person and online)
%F papi-etal-2024-simulseamless
%X This paper describes the FBK’s participation in the Simultaneous Translation Evaluation Campaign at IWSLT 2024. For this year’s submission in the speech-to-text translation (ST) sub-track, we propose SimulSeamless, which is realized by combining AlignAtt and SeamlessM4T in its medium configuration. The SeamlessM4T model is used ‘off-the-shelf’ and its simultaneous inference is enabled through the adoption of AlignAtt, a SimulST policy based on cross-attention that can be applied without any retraining or adaptation of the underlying model for the simultaneous task. We participated in all the Shared Task languages (English-\textgreaterGerman, Japanese, Chinese, and Czech-\textgreaterEnglish), achieving acceptable or even better results compared to last year’s submissions. SimulSeamless, covering more than 143 source languages and 200 target languages, is released at: https://github.com/hlt-mt/FBK-fairseq/.
%U https://aclanthology.org/2024.iwslt-1.11
%P 72-79

Markdown (Informal)

[SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation](https://aclanthology.org/2024.iwslt-1.11) (Papi et al., IWSLT 2024)

• SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation (Papi et al., IWSLT 2024)

ACL

• Sara Papi, Marco Gaido, Matteo Negri, and Luisa Bentivogli. 2024. SimulSeamless: FBK at IWSLT 2024 Simultaneous Speech Translation. In Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024), pages 72–79, Bangkok, Thailand (in-person and online). Association for Computational Linguistics.