Towards More Efficient DNN-Based Speech Enhancement Using Quantized Correlation Mask

Towards More Efficient DNN-Based Speech Enhancement Using Quantized Correlation Mask

Many studies on deep learning-based speech enhancement (SE) utilizing the computational auditory scene analysis method typically employs the ideal binary mask or the ideal ratio mask to reconstruct the enhanced speech signal. However, many SE applications in real scenarios demand a desirable balance...

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Bibliographic Details
Main Authors: Salinna Abdullah, Majid Zamani, Andreas Demosthenous
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Correlation coefficients
deep neural network
dynamic noise-aware training
quantization
speech enhancement
training targets
Online Access:https://ieeexplore.ieee.org/document/9345671/

Internet

https://ieeexplore.ieee.org/document/9345671/

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