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首页> 外文期刊>International journal of cognitive informatics and natural intelligence >Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies
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Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies

机译：基于认知分类方法的机器学习音乐情感识别

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摘要

Music emotions recognition (MER) is a challenging field of studies addressed in multiple disciplines such as musicology, cognitive science, physiology, psychology, arts and affective computing. In this article, music emotions are classified into four types known as those of pleasing, angry, sad and relaxing. MER is formulated as a classification problem in cognitive computing where 548 dimensions of music features are extracted and modeled. A set of classifications and machine learning algorithms are explored and comparatively studied for MER, which includes Support Vector Machine (SVM), k-Nearest Neighbors (KNN), Neuro-Fuzzy Networks Classification (NFNC), Fuzzy KNN (FKNN), Bayes classifier and Linear Discriminant Analysis (LDA). Experimental results show that the SVM, FKNN and LDA algorithms are the most effective methodologies that obtain more than 80% accuracy for MER.
机译：音乐情感识别（MER）是一个充满挑战的研究领域，涉及多个学科，例如音乐学，认知科学，生理学，心理学，艺术和情感计算。在本文中，音乐情感被分为四种类型，即愉悦，愤怒，悲伤和放松。 MER被公式化为认知计算中的分类问题，其中提取并建模了548个音乐特征维度。探索并比较了针对MER的一组分类和机器学习算法，包括支持向量机（SVM），k最近邻（KNN），神经模糊网络分类（NFNC），模糊KNN（FKNN），贝叶斯分类器和线性判别分析（LDA）。实验结果表明，SVM，FKNN和LDA算法是最有效的方法，可为MER获得80％以上的精度。

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  • 作者

    Junjie Bai; Kan Luo; Jun Peng; Jinliang Shi; Ying Wu; Lixiao Feng; Jianqing Li; Yingxu Wang;

  • 作者单位

    School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China & Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada;

    School of Information Science and Engineering, Fujian University of Technology, Fuzhou, China;

    School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;

    School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;

    School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;

    School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China & Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada;

    School of Instrument Science and Engineering, Southeast University, Nanjing, China;

    Schulich School of Engineering and Hotchkiss Brain Institute, University of Calgary, Calgary, Canada;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Emotion Classification; Feature Extraction; Machine Learning; Music Emotion Recognition; Pattern Recognition;

    机译：情绪分类;特征提取;机器学习;音乐情感识别;模式识别;

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