Music Emotion Classification Method Based on Deep Learning and Explicit Sparse Attention Network
Author:
Affiliation:
1. School of Music, Baotou Teachers’ College, lnner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014030, China
Abstract
Publisher
Hindawi Limited
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Link
http://downloads.hindawi.com/journals/cin/2022/3920663.pdf
Reference24 articles.
1. Automatic Emotion-Based Music Classification for Supporting Intelligent IoT Applications
2. Digital Empirical Research of Influencing Factors of Musical Emotion Classification Based on Pleasure-Arousal Musical Emotion Fuzzy Model
3. Improvised emotion and genre detection for songs through signal processing and genetic algorithm
4. Audio Feature Extraction for Effective Emotion Classification
5. Dual-Function Integrated Emotion-Based Music Classification System Using Features From Physiological Signals
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1. Verse1-Chorus-Verse2 Structure: A Stacked Ensemble Approach for Enhanced Music Emotion Recognition;Applied Sciences;2024-07-01
2. Enhancing Tone Recognition in Large-Scale Social Media Data with Deep Learning and Big Data Processing;2023 5th International Conference on Artificial Intelligence and Computer Applications (ICAICA);2023-11-28
3. Music Emotion Recognition using Convolutional Neural Networks for Regional Languages;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02
4. Retracted: Music Emotion Classification Method Based on Deep Learning and Explicit Sparse Attention Network;Computational Intelligence and Neuroscience;2023-08-02
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