HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing-Reference-Cited by-同舟云学术

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HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Tornay Sandrine,Razavi Marzieh,Camgoz Necati Cihan,Bowden Richard,Magimai.-Doss Mathew

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8671773/8682151/08683167.pdf?arnumber=8683167

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Content-Based Objective Evaluation of Artificially Generated Sign Language Videos;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Joint Sign Language Recognition and Translation Using Keypoint Estimation;2023 11th International Japan-Africa Conference on Electronics, Communications, and Computations (JAC-ECC);2023-12-18

3. Towards Accessible Sign Language Assessment and Learning;INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION;2022-11-07

4. Sign Language Translation Systems;International Journal of Software Science and Computational Intelligence;2022-10-14

5. Phonology Recognition in American Sign Language;ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2022-05-23

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