Neural Target Speech Extraction: An overview-Reference-Cited by-同舟云学术

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Neural Target Speech Extraction: An overview

Published:2023-05 Issue:3 Volume:40 Page:8-29
ISSN:1053-5888
Container-title:IEEE Signal Processing Magazine
language:
Short-container-title:IEEE Signal Process. Mag.

Author:

Zmolikova Katerina¹^ORCID,Delcroix Marc²^ORCID,Ochiai Tsubasa²^ORCID,Kinoshita Keisuke³,Černocký Jan⁴^ORCID,Yu Dong⁵^ORCID

Affiliation:

1. Demant, Copenhagen, Denmark

2. NTT Communication Science Laboratories, Kyoto, Japan

3. Google, Tokyo, Japan

4. Department of Computer Graphics and Multimedia, Faculty of Information Technology (FIT), BUT, Brno, Czech Republic

5. Tencent AI Lab, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/79/10113369/10113382.pdf?arnumber=10113382

Reference69 articles.

1. A review of blind source separation methods: two converging routes to ILRMA originating from ICA and NMF

2. Towards Robust Speaker Verification with Target Speaker Enhancement

3. Adaptive Blind Audio Source Extraction Supervised By Dominant Speaker Identification Using X-Vectors

4. An Analysis of Visual Speech Information Applied to Voice Activity Detection

5. Personalized speech enhancement: new models and Comprehensive evaluation

Cited by 33 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. X-TF-GridNet: A time–frequency domain target speaker extraction network with adaptive speaker embedding fusion;Information Fusion;2024-12

2. Exploiting beam search confidence for energy-efficient speech recognition;The Journal of Supercomputing;2024-07-15

3. Advancing speaker embedding learning: Wespeaker toolkit for research and production;Speech Communication;2024-07

4. Target Speech Extraction with Pre-trained AV-HuBERT and Mask-And-Recover Strategy;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

5. Enhancing Blind Source Separation: Leveraging Multi Kernel Methods for Complex Audio Environments;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

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