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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 Page: 1 2 3 4 5...212 Hits 1 – 20 of 4.228 1 The Impact of Removing Head Movements on Audio-visual Speech Enhancement Kang, Zhiqi; Sadeghi, Mostafa; Horaud, Radu... In: ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.inria.fr/hal-03551610 ; ICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE Signal Processing Society, May 2022, Singapore, Singapore. pp.1-5 (2022) BASE Show details 2 An Overview of Indian Spoken Language Recognition from Machine Learning Perspective Dey, Spandan; Sahidullah, Md; Saha, Goutam In: ISSN: 2375-4699 ; EISSN: 2375-4702 ; ACM Transactions on Asian and Low-Resource Language Information Processing ; https://hal.inria.fr/hal-03616853 ; ACM Transactions on Asian and Low-Resource Language Information Processing, ACM, In press, ⟨10.1145/3523179⟩ (2022) BASE Show details 3 BBC-Oxford British Sign Language Dataset Albanie, Samuel; Varol, Gül; Momeni, Liliane... In: https://hal.archives-ouvertes.fr/hal-03516444 ; 2022 (2022) BASE Show details 4 Can machines learn to see without visual databases? Betti, Alessandro; Gori, Marco; Melacci, Stefano... In: https://hal.archives-ouvertes.fr/hal-03526569 ; 2022 (2022) BASE Show details 5 Large-scale Bilingual Language-Image Contrastive Learning ... Ko, Byungsoo; Gu, Geonmo. - : arXiv, 2022 BASE Show details 6 Bridging Video-text Retrieval with Multiple Choice Questions ... Ge, Yuying; Ge, Yixiao; Liu, Xihui. - : arXiv, 2022 BASE Show details 7 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 8 DanFEVER: claim verification dataset for Danish ... Nørregaard, Jeppe; Derczynski, Leon. - : figshare, 2022 BASE Show details 9 Towards a Perceptual Model for Estimating the Quality of Visual Speech ... Aldeneh, Zakaria; Fedzechkina, Masha; Seto, Skyler. - : arXiv, 2022 BASE Show details 10 An error correction scheme for improved air-tissue boundary in real-time MRI video for speech production ... Roy, Anwesha; Belagali, Varun; Ghosh, Prasanta Kumar. - : arXiv, 2022 BASE Show details 11 Expression-preserving face frontalization improves visually assisted speech processing ... Kang, Zhiqi; Sadeghi, Mostafa; Horaud, Radu. - : arXiv, 2022 BASE Show details 12 WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ... Tavella, Federico; Schlegel, Viktor; Romeo, Marta. - : arXiv, 2022 BASE Show details 13 Modeling Intensification for Sign Language Generation: A Computational Approach ... İnan, Mert; Zhong, Yang; Hassan, Sabit; Quandt, Lorna; Alikhani, Malihe. - : arXiv, 2022 Abstract: End-to-end sign language generation models do not accurately represent the prosody in sign language. A lack of temporal and spatial variations leads to poor-quality generated presentations that confuse human interpreters. In this paper, we aim to improve the prosody in generated sign languages by modeling intensification in a data-driven manner. We present different strategies grounded in linguistics of sign language that inform how intensity modifiers can be represented in gloss annotations. To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification. We then use a supervised intensity tagger to extend the annotated dataset and obtain labels for the remaining portion of it. This enhanced dataset is then used to train state-of-the-art transformer models for sign language generation. We find that our efforts in intensification modeling yield better results when evaluated with automatic metrics. Human evaluation ... : 15 pages, Findings of the Association for Computational Linguistics: ACL 2022 ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2203.09679 https://arxiv.org/abs/2203.09679 BASE Hide details 14 Keypoint based Sign Language Translation without Glosses ... Kim, Youngmin; Kwak, Minji; Lee, Dain. - : arXiv, 2022 BASE Show details 15 A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition ... Ferreira, Silvan; Costa, Esdras; Dahia, Márcio. - : arXiv, 2022 BASE Show details 16 A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation ... Chen, Yutong; Wei, Fangyun; Sun, Xiao. - : arXiv, 2022 BASE Show details 17 Including Facial Expressions in Contextual Embeddings for Sign Language Generation ... Viegas, Carla; İnan, Mert; Quandt, Lorna. - : arXiv, 2022 BASE Show details 18 Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production ... Saunders, Ben; Camgoz, Necati Cihan; Bowden, Richard. - : arXiv, 2022 BASE Show details 19 Statistical and Spatio-temporal Hand Gesture Features for Sign Language Recognition using the Leap Motion Sensor ... Bird, Jordan J.. - : arXiv, 2022 BASE Show details 20 Multi-View Spatial-Temporal Network for Continuous Sign Language Recognition ... Li, Ronghui; Meng, Lu. - : arXiv, 2022 BASE Show details Page: 1 2 3 4 5...212

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