End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement

End-to-End Deep Convolutional Recurrent Models for Noise Robust Waveform Speech Enhancement

Because of their simple design structure, end-to-end deep learning (E2E-DL) models have gained a lot of attention for speech enhancement. A number of DL models have achieved excellent results in eliminating the background noise and enhancing the quality as well as the intelligibility of noisy speech...

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Bibliographic Details
Main Authors: Rizwan Ullah, Lunchakorn Wuttisittikulkij, Sushank Chaudhary, Amir Parnianifard, Shashi Shah, Muhammad Ibrar, Fazal-E Wahab
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
E2E speech processing
Convolutional Encode-Decoder
Convolutional Recurrent Network
speech quality
intelligibility
Online Access:https://www.mdpi.com/1424-8220/22/20/7782

Internet

https://www.mdpi.com/1424-8220/22/20/7782

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