DCHT: Deep Complex Hybrid Transformer for Speech Enhancement-Reference-Cited by-同舟云学术

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DCHT: Deep Complex Hybrid Transformer for Speech Enhancement

Published:2023-11-27 Issue: Volume: Page:117-122
ISSN:
Container-title:2023 Third International Conference on Digital Data Processing (DDP)
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Author:

Li Jialu¹,Li Junhui²,Wang Pu²,Zhang Youshan³

Affiliation:

1. School of public policy, Cornell University,Ithaca,NY,USA

2. School of Science, University of Science and Technology,Department of Mathematics,Liaoning,Anshan,China

3. Yeshiva University,Department of Artificial Intelligence and Computer Science,New York,NY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10418743/10418788/10418821.pdf?arnumber=10418821

Reference39 articles.

1. Conditional Diffusion Probabilistic Model for Speech Enhancement

2. SEGAN: Speech Enhancement Generative Adversarial Network

3. CMGAN: Conformer-based Metric GAN for Speech Enhancement

4. Singing voice separation with deep u-net convolutional networks;Jansson,2017

5. Phase-aware speech enhancement with deep complex u-net;Choi,2019

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