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José A. R. Fonollosa

2 accepted papers

2024

Pushing the Limits of Zero-shot End-to-End Speech Translation

ACL 2024findings

Data scarcity and the modality gap between the speech and text modalities are two major obstacles of end-to-end Speech Translation (ST) systems, thus hindering their performance. Prior work has attempted to mitigate these challenges by leveraging external MT data and optimizing distance metrics that…

2023

Efficient Speech Translation with Dynamic Latent Perceivers

ICASSP 2023accepted

Transformers have been the dominant architecture for Speech Translation in recent years, achieving significant improvements in translation quality. Since speech signals are longer than their textual counterparts, and due to the quadratic complexity of the Transformer, a down-sampling step is essenti…

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