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Listen and Translate: A Proof of Concept for End-to-End Speech-to-Text Translation

, , , and . (2016)cite arxiv:1612.01744Comment: accepted to NIPS workshop on End-to-end Learning for Speech and Audio Processing.

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Automatic Identification of Arabic Dialects., , and . LREC, European Language Resources Association, (2010)Investigating the role of machine translated text in ASR domain adaptation: Unsupervised and semi-supervised methods., , , and . ASRU, page 260-265. IEEE, (2011)Unwritten languages demand attention too! Word discovery with encoder-decoder models., , , and . ASRU, page 458-465. IEEE, (2017)Using closely-related language to build an ASR for a very under-resourced language: Iban., , , and . O-COCOSDA, page 1-5. IEEE, (2014)ASR domain adaptation methods for low-resourced languages: Application to Romanian language., , , and . EUSIPCO, page 1648-1652. IEEE, (2012)Analysis of Malay Speech Recognition for Different Speaker Origins., , and . IALP, page 229-232. IEEE Computer Society, (2012)Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech., , and . CoNLL, page 291-301. Association for Computational Linguistics, (2020)Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English., , , , , and . COLING, page 5047-5058. International Committee on Computational Linguistics, (2020)GSM speech coding and speaker recognition., , , , and . ICASSP, page 1085-1088. IEEE, (2000)Models of Visually Grounded Speech Signal Pay Attention to Nouns: A Bilingual Experiment on English and Japanese., , and . ICASSP, page 8618-8622. IEEE, (2019)