Multimodal Audio-Visual Information Fusion Using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement

Author:

Passos Leandro Aparecido,Papa João P.,Del Ser Javier,Hussain Amir,Adeel Ahsan

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference34 articles.

1. Analyzing multimodal sentiment via acoustic-and visual-lstm with channel-aware temporal convolution network;S Mai;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2021

2. A multimodal event-driven lstm model for stock prediction using online news;Q Li;IEEE Transactions on Knowledge and Data Engineering

3. From canonical correlation analysis to self-supervised graph neural networks;H Zhang;Thirty-Fifth Conference on Neural Information Processing Systems,2021

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