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How2Sign: A large-scale multimodal dataset for continuous American sign language
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Speech technology for unwritten languages
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In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020)
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How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language ...
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Learned In Speech Recognition: Contextual Acoustic Word Embeddings ...
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
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In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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Scharenborg, Odette; Besacier, Laurent; Black, Alan; Hasegawa-Johnson, Mark; Metze, Florian; Neubig, Graham; Stueker, Sebastian; Godard, Pierre; Mueller, Markus; Ondel, Lucas; Palaskar, Shruti; Arthur, Philip; Ciannella, Francesco; Du, Mingxing; Larsen, Elin; Merkx, Danny; Riad, Rachid; Wang, Liming; Dupoux, Emmanuel. - : arXiv, 2018
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Abstract:
We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography. We study the replacement of orthographic transcriptions by images and/or translated text in a well-resourced language to help unsupervised discovery from raw speech. ... : Accepted to ICASSP 2018 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1802.05092 https://arxiv.org/abs/1802.05092
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Acoustic-to-Word Recognition with Sequence-to-Sequence Models ...
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