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20212024
most citedMultimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement

45 citations · 69 across the 12 of their papers we have counts for

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cs.SD2024

Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids

Jasper Kirton-Wingate, Shafique Ahmed, Adeel Hussain +6

Since the advent of Deep Learning (DL), Speech Enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic arte…

eess.AS2024★ 1 cited

Audio-Visual Speech Enhancement in Noisy Environments via Emotion-Based Contextual Cues

Tassadaq Hussain, Kia Dashtipour, Yu Tsao +1

In real-world environments, background noise significantly degrades the intelligibility and clarity of human speech. Audio-visual speech enhancement (AVSE) attempts to restore spee…