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1
How2Sign: A large-scale multimodal dataset for continuous American sign language
Duarte, Amanda; Palaskar, Shruti; Ventura, Lucas. - : Institute of Electrical and Electronics Engineers, 2021
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2
Speech technology for unwritten languages
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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3
How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language ...
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4
Learned In Speech Recognition: Contextual Acoustic Word Embeddings ...
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5
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
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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6
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1802.05092
https://arxiv.org/abs/1802.05092
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7
Acoustic-to-Word Recognition with Sequence-to-Sequence Models ...
Palaskar, Shruti; Metze, Florian. - : arXiv, 2018
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