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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Simultaneous Speech Translation for Live Subtitling: from Delay to Display ... Karakanta, Alina; Papi, Sara; Negri, Matteo. - : arXiv, 2021 BASE Show details 2 Speechformer: Reducing Information Loss in Direct Speech Translation ... Papi, Sara; Gaido, Marco; Negri, Matteo. - : arXiv, 2021 BASE Show details 3 Speechformer: Reducing Information Loss in Direct Speech Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gaido, Marco; Negri, Matteo; Papi, Sara; Turchi, Marco. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.127/ Abstract: Transformer-based models have gained increasing popularity achieving state-of-the-art performance in many research fields including speech translation. However, Transformer's quadratic complexity with respect to the input sequence length prevents its adoption as is with audio signals, which are typically represented by long sequences. Current solutions resort to an initial sub-optimal compression based on a fixed sampling of raw audio features. Therefore, potentially useful linguistic information is not accessible to higher-level layers in the architecture. To solve this issue, we propose Speechformer, an architecture that, thanks to reduced memory usage in the attention layers, avoids the initial lossy compression and aggregates information only at a higher level according to more informed linguistic criteria. Experiments on three language pairs (en->de/es/nl) show the efficacy of our solution, with gains of up to 0.8 BLEU on ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Machine translation; Natural Language Processing URL: https://underline.io/lecture/37646-speechformer-reducing-information-loss-in-direct-speech-translation https://dx.doi.org/10.48448/r8cv-6f19 BASE Hide details

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