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Two-Point Neurons for Efficient Multimodal Speech Enhancement

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Citation

Raza M, Ahmed K, Muzaffar J & Adeel A (2023) Two-Point Neurons for Efficient Multimodal Speech Enhancement. In: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece, 04.06.2023-10.06.2023. IEEE, pp. 1-5. https://doi.org/10.1109/icasspw59220.2023.10193457

Abstract
Here we present a two-point neuron-inspired deep convolutional net (DCN) with 18 convolutional layers for multimodal speech enhancement (MM-SE) and compare it against conventional point neuron-inspired DCN in terms of Perceptual Evaluation of Speech Quality (PESQ) and Short-Time Objective Intelligibility (STOI). We show that the two-point neuron-driven DCN performs comparably to point-neurons driven DCN by using only ≈0.2% neurons at any time during training.

StatusPublished
Funders
Publication date30/06/2023
Publication date online31/08/2023
PublisherIEEE
Conference2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
Conference locationRhodes Island, Greece
Dates

People (1)

Dr Ahsan Adeel

Dr Ahsan Adeel

Assoc. Prof. in Artificial Intelligence, Computing Science and Mathematics - Division