Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
Publication type: Journal Article
Publication date: 2022-08-09
SJR: —
CiteScore: —
Impact factor: —
ISSN: 15565068
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Passos L. A. et al. Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement // SSRN Electronic Journal. 2022.
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Passos L. A., Papa J. P., Del S., Hussain A., Adeel A. Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement // SSRN Electronic Journal. 2022.
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TY - JOUR
DO - 10.2139/ssrn.4184514
UR - https://doi.org/10.2139/ssrn.4184514
TI - Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
T2 - SSRN Electronic Journal
AU - Passos, L A
AU - Papa, J P
AU - Del, Ser
AU - Hussain, A
AU - Adeel, A
PY - 2022
DA - 2022/08/09
PB - Social Science Electronic Publishing
SN - 1556-5068
ER -
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@article{2022_Passos,
author = {L A Passos and J P Papa and Ser Del and A Hussain and A Adeel},
title = {Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement},
journal = {SSRN Electronic Journal},
year = {2022},
publisher = {Social Science Electronic Publishing},
month = {aug},
url = {https://doi.org/10.2139/ssrn.4184514},
doi = {10.2139/ssrn.4184514}
}