Multi-Scale Temporal Frequency Convolutional Network With Axial Attention for Speech Enhancement
Author:
Affiliation:
1. Baidu Inc,Department of Speech Technology,Beijing,China,100085
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746610.pdf?arnumber=9746610
Reference20 articles.
1. A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech
2. Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation
3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
4. Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters
5. Demand: a collection of multi-channel recordings of acoustic noise in diverse environments (2013);thiemann,0
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