SRTNET: Time Domain Speech Enhancement via Stochastic Refinement
Author:
Affiliation:
1. Xinjiang University,School of Information Science and Engineering,Urumqi,China
2. Tsinghua University,Department of Computer Science and Technology,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095850.pdf?arnumber=10095850
Reference32 articles.
1. Speech Enhancement with Variational Autoencoders and Alpha-stable Distributions
2. Semi-supervised Multi-channel Speech Enhancement with Variational Autoencoders and Non-negative Matrix Factorization;leglaive;Proc ICASSP,2019
3. Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement
4. A Recurrent Variational Autoencoder for Speech Enhancement
5. WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-End Speech Enhancement
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1. Time Domain Speech Enhancement with CNN and Time-Attention Transformer;Digital Signal Processing;2024-02
2. NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31
3. StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023
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