Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models
Author:
Affiliation:
1. Carl von Ossietzky University Oldenburg,Computational Audition Group,Dept. med. Physics & Acoustics and Cluster of Excellence Hearing4all,Oldenburg,Germany
Funder
Deutsche Forschungsgemeinschaft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096208.pdf?arnumber=10096208
Reference23 articles.
1. DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement
2. PHASEN: A Phase-and-Harmonics-Aware Speech Enhancement Network
3. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech
4. A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities;kohl;Conference on Neural Information Processing Systems (NeurIPS) Medical Imaging meets NeurIPS Workshop,2019
5. Uformer: A Unet Based Dilated Complex & Real Dual-Path Conformer Network for Simultaneous Speech Enhancement and Dereverberation
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1. Lightweight Multi-Axial Transformer with Frequency Prompt for Single Channel Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. On the Generalization Ability of Complex-Valued Variational U-Networks for Single-Channel Speech Enhancement;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024
3. A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net;IEEE Access;2023
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