Deep Latent Fusion Layers for Binaural Speech Enhancement-Reference-Cited by-同舟云学术

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Deep Latent Fusion Layers for Binaural Speech Enhancement

Published:2023 Issue: Volume:31 Page:3127-3138
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Gajecki Tom¹^ORCID,Nogueira Waldo¹^ORCID

Affiliation:

1. Department of Otolaryngology, Medical University of Hannover and Cluster of Excellence “Hearing4all,”, Hannover, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10202199.pdf?arnumber=10202199

Reference50 articles.

1. Audio-visual speech enhancement using deep neural networks

2. Speech Enhancement Using Multi-Stage Self-Attentive Temporal Convolutional Networks

3. A unified architecture for natural language processing

4. Wavesplit: End-to-End Speech Separation by Speaker Clustering

Cited by 2 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. DPHT-ANet: Dual-path high-order transformer-style fully attentional network for monaural speech enhancement;Applied Acoustics;2024-09

2. A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants;IEEE Transactions on Biomedical Engineering;2024-07

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