Exploring Time and Frequency Domain Loss Functions in Real-Time Speech Enhancement Using an Efficient Neural Network: A Comparative Study
Author:
Affiliation:
1. Aschaffenburg University of Applied Sciences,Signal Processing Laboratory,Aschaffenburg,Germany
2. Aschaffenburg University of Applied Sciences,Signal Processing and Machine Learning,Aschaffenburg,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10602771/10602729/10602794.pdf?arnumber=10602794
Reference39 articles.
1. Supervised Speech Separation Based on Deep Learning: An Overview
2. Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
3. Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages
4. Fully Convolutional Recurrent Networks for Speech Enhancement
5. A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement
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