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- Russian Quantum CenterRU25 papers
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4 papers · 1 filter
Lightweight Hopfield Neural Networks for Bioacoustic Detection and Call Monitoring of Captive Primates
Wendy Lomas, Andrew Gascoyne, Colin Dubreuil +2
Passive acoustic monitoring is a sustainable method of monitoring wildlife and environments that leads to the generation of large datasets and, currently, a processing backlog. Aca…
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Audio-Visual Hearing Aids
Leandro A. Passos, João Paulo Papa, Amir Hussain +1
Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between different sources, such as m…
Multimodal Audio-Visual Information Fusion using Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement
Leandro Aparecido Passos, João Paulo Papa, Javier Del Ser +2
This paper proposes a novel multimodal self-supervised architecture for energy-efficient audio-visual (AV) speech enhancement that integrates Graph Neural Networks with canonical c…
CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement
Mandar Gogate, Kia Dashtipour, Ahsan Adeel +1
Noisy situations cause huge problems for suffers of hearing loss as hearing aids often make the signal more audible but do not always restore the intelligibility. In noisy settings…