A Deep Representation Learning-Based Speech Enhancement Method Using Complex Convolution Recurrent Variational Autoencoder

Author:

Xiang Yang1,Tian Jingguang1,Hu Xinhui1,Xu Xinkang1,Yin ZhaoHui1

Affiliation:

1. Hithink RoyalFlush AI Research Institute,Zhejiang,China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust DOA Estimation Using Multi-Scale Fusion Network with Attention Mask;Applied Sciences;2024-05-24

2. The Royalflush Automatic Speech Diarization and Recognition System for In-Car Multi-Channel Automatic Speech Recognition Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

3. ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

4. Distil-DCCRN: A Small-Footprint DCCRN Leveraging Feature-Based Knowledge Distillation in Speech Enhancement;IEEE Signal Processing Letters;2024

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