UX-Net: Filter-and-Process-Based Improved U-Net for real-time time-domain audio Separation

Author:

Patel Kashyap1,Kovalyov Anton1,Panahi Issa1

Affiliation:

1. University of Texas at Dallas,Electrical and Computer Engineering,Richardson,TX,USA

Funder

National Institute on Deafness and Other Communication Disorders

National Institutes of Health

Publisher

IEEE

Reference29 articles.

1. Sudo RM -RF: Efficient Networks for Universal Audio Source Separation

2. Wave-u-net: A multi-scale neural network for end-to-end audio source separation;stoller,2018

3. Cortical encoding of speech enhances task-relevant acoustic information

4. Causal Deep CASA for Monaural Talker-Independent Speaker Separation

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

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1. On the Importance of Neural Wiener Filter for Resource Efficient Multichannel Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Decoupled Spatial and Temporal Processing for Resource Efficient Multichannel Speech Enhancement;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Real-Time Speech Enhancement and Separation with a Unified Deep Neural Network for Single/Dual Talker Scenarios;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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