The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems-Reference-Cited by-同舟云学术

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The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems

Published:2024 Issue: Volume:31 Page:2225-2229
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Gonzalez Philippe¹^ORCID,Tan Zheng-Hua²^ORCID,Østergaard Jan²^ORCID,Jensen Jesper²^ORCID,Alstrøm Tommy Sonne³^ORCID,May Tobias¹^ORCID

Affiliation:

1. Department of Health Technology, Technical University of Denmark, Lyngby, Denmark

2. Department of Electronic Systems, Aalborg University, Aalborg, Denmark

3. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/97/10380231/10645209.pdf?arnumber=10645209

Reference49 articles.

1. Monaural and Binaural Speech Perception through Hearing Aids under Noise and Reverberation with Normal and Hearing-Impaired Listeners

2. Effect of Noise and Reverberation on Binaural and Monaural Word Identification by Subjects with Various Audiograms

3. A Regression Approach to Speech Enhancement Based on Deep Neural Networks

4. Supervised Speech Separation Based on Deep Learning: An Overview

5. Deep unsupervised learning using nonequilibrium thermodynamics;Sohl-Dickstein,2015

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