Hardware Efficient Speech Enhancement With Noise Aware Multi-Target Deep Learning
This paper describes a supervised speech enhancement (SE) method utilising a noise-aware four-layer deep neural network and training target switching. For optimal speech denoising, the SE system, trained with multiple-target joint learning, switches between mapping-based, masking-based, or complemen...
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Main Authors: | Salinna Abdullah, Majid Zamani, Andreas Demosthenous |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Open Journal of Circuits and Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10500889/ |
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