Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition-Reference-Cited by-同舟云学术

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Generative Model Driven Representation Learning in a Hybrid Framework for Environmental Audio Scene and Sound Event Recognition

Published:2020-01 Issue:1 Volume:22 Page:3-14
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Chandrakala S.^ORCID,Jayalakshmi S. L.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/8949825/08752027.pdf?arnumber=8752027

Cited by 22 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. A Two-Stage Audio-Visual Speech Separation Method Without Visual Signals for Testing and Tuples Loss With Dynamic Margin;IEEE Journal of Selected Topics in Signal Processing;2024-04

2. Sound Event Detection in Constrained Real-world Environments using Fine Tuned CNNs;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

3. Downstream Task Performance of Pre-Trained Model For Outdoor Audio Event Classification;2023 9th International Conference on Signal Processing and Intelligent Systems (ICSPIS);2023-12-14

4. Greedy regression and differential convex-based deep learning for audio event classification;Journal of Intelligent & Fuzzy Systems;2023-12-02

5. 3D Holoscopic Image Compression Based on Gaussian Mixture Model;IEEE Transactions on Multimedia;2023

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