Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration

Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration

Abstract Single-channel speech enhancement in highly non-stationary noise conditions is a very challenging task, especially when interfering speech is included in the noise. Deep learning-based approaches have notably improved the performance of speech enhancement algorithms under such conditions, b...

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Bibliographic Details
Main Authors: Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Speech enhancement
Noise suppression
Speech restoration
Two-stage processing
Long short-term memory
Convolutional neural networks
Online Access:https://doi.org/10.1186/s13634-020-00707-1

Internet

https://doi.org/10.1186/s13634-020-00707-1

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