Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion-Reference-Cited by-同舟云学术

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Contrastive Learning for Target Speaker Extraction With Attention-Based Fusion

Published:2024 Issue: Volume:32 Page:178-188
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:

Li Xiao¹^ORCID,Liu Ruirui²,Huang Huichou³,Wu Qingyao⁴^ORCID

Affiliation:

1. School of Electronics and Information Engineering, South China University of Technology, Guangzhou, China

2. Department of Economics and Finance, Brunel University London, London, U.K.

3. Global Research Unit, City University of Hong Kong, Hong Kong SAR, China

4. School of Software Engineering, South China University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong Science Foundation

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/ielx7/6570655/10304349/10284995.pdf?arnumber=10284995

Reference45 articles.

1. USEV: Universal Speaker Extraction With Visual Cue

2. Speaker-Aware Target Speaker Enhancement by Jointly Learning with Speaker Embedding Extraction

3. VCSE: Time-Domain Visual-Contextual Speaker Extraction Network

4. A target speaker separation neural network with joint-training;yang;Proc IEEE Asia-Pacific Signal Inf Process Assoc Annu Summit Conf,0

5. VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

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

2. Gated Cross-Attention for Universal Speaker Extraction: Toward Real-World Applications;Electronics;2024-05-24

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