Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids-Reference-Cited by-同舟云学术

Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids

Published:2023-03 Issue: Volume:527 Page:196-203
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Passos Leandro A.,Papa João Paulo,Hussain Amir,Adeel Ahsan

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Engineering and Physical Sciences Research Council

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference36 articles.

1. A data driven approach to audiovisual speech mapping;Abel,2016

2. A. Adeel, J. Ahmad, A. Hussain, Real-time lightweight chaotic encryption for 5g iot enabled lip-reading driven secure hearing-aid. arXiv preprint arXiv:1809.04966 (2018).

3. A novel real-time, lightweight chaotic-encryption scheme for next-generation audio-visual hearing aids;Adeel;Cognitive Computation,2020

4. Contextual deep learning-based audio-visual switching for speech enhancement in real-world environments;Adeel;Information Fusion,2020

5. W.M.: Lip-reading driven deep learning approach for speech enhancement. IEEE Transactions on Emerging Topics;Adeel;Computational Intelligence,2019

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