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NAVER LABS Europe's Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track.

, , , и . IWSLT@ACL, стр. 144-158. Association for Computational Linguistics, (2023)

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Другие публикации лиц с тем же именем

mHuBERT-147: A Compact Multilingual HuBERT Model., , , , и . CoRR, (2024)A Small Griko-Italian Speech Translation Corpus., , , , и . SLTU, стр. 36-41. ISCA, (2018)ON-TRAC Consortium Systems for the IWSLT 2022 Dialect and Low-resource Speech Translation Tasks., , , , , , , , , и 1 other автор(ы). IWSLT@ACL, стр. 308-318. Association for Computational Linguistics, (2022)Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings., , , , и . CoRR, (2021)Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark., , , , , , , , , и 8 other автор(ы). NeurIPS Datasets and Benchmarks, (2021)Size Does Not Matter. Frequency Does. A Study of Features for Measuring Lexical Complexity., , , , и . IBERAMIA, том 8864 из Lecture Notes in Computer Science, стр. 129-140. Springer, (2014)MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible., , , , и . LREC, стр. 6486-6493. European Language Resources Association, (2020)A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems., , , и . INTERSPEECH, стр. 1278-1282. ISCA, (2022)Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-Resource Settings., , и . INTERSPEECH, стр. 2688-2692. ISCA, (2019)LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech., , , , , , , , , и 12 other автор(ы). Comput. Speech Lang., (2024)