Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification

Author:

Hou Yuanbo1ORCID,Song Siyang2ORCID,Yu Chuang3ORCID,Wang Wenwu4ORCID,Botteldooren Dick1ORCID

Affiliation:

1. WAVES Research Group, Ghent University, Ghent, Belgium

2. School of Computing and Mathematical Science, University of Leicester, Leicester, U.K.

3. UCL Interaction Centre, University College London, London, U.K.

4. Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, U.K.

Funder

WAVES Research Group, Flemish Government

Onderzoeksprogramma Artificiële Intelligentie (AI) Vlaanderen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Reference42 articles.

1. Acoustic Scene Classification: Classifying environments from the sounds they produce

2. Spatial-temporal gated graph convolutional network: a new deep learning framework for long-term traffic speed forecasting

3. Audio-visual scene classification: Analysis of DCASE 2021 challenge submissions;wang;Proc Detection Classication Acoustic Scenes Events,0

4. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

5. Attention-based convolutional neural networks for acoustic scene classification;ren;Proc Detection Classification Acoust Scenes Events Workshop,0

Cited by 1 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. Cooperative Scene-Event Modelling for Acoustic Scene Classification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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