Unsupervised Speech Enhancement with Diffusion-Based Generative Models
Author:
Affiliation:
1. Université de Lorraine,CNRS, Inria, LORIA,Nancy,France,F-54000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447736.pdf?arnumber=10447736
Reference27 articles.
1. Supervised Speech Separation Based on Deep Learning: An Overview
2. Statistical Speech Enhancement Based on Probabilistic Integration of Variational Autoencoder and Non-Negative Matrix Factorization
3. Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders
4. Adaptive Neural Speech Enhancement with a Denoising Variational Autoencoder
5. Auto-encoding variational bayes;Kingma;ICLR,2014
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1. Speech Enhancement and Denoising Audio for Hard-of-Hearing People in Universities;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29
2. The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems;IEEE Signal Processing Letters;2024
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