Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments

Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments

Temporal modulation processing is a promising technique for improving the intelligibility and quality of speech in noise. We propose a speech enhancement algorithm that constructs the temporal envelope (TEV) in the time-frequency domain by means of an embedded convolutional neural network (CNN). To...

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Bibliographic Details
Main Authors: Rahim Soleymanpour, Mohammad Soleymanpour, Anthony J. Brammer, Michael T. Johnson, Insoo Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Speech enhancement
temporal envelope (TEV)
convolution neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/10014997/

Internet

https://ieeexplore.ieee.org/document/10014997/

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