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Multidimensional Scaling Analysis Applied to Music Mood Recognition

机译:多维尺度分析在音乐情绪识别中的应用

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The paper presents two experiments aimed at categorizing mood associated with music. Two parts of a listening test were designed and carried out with a group of students, most of whom where users of online social music services. The initial experiment was designed to evaluate the extent to which a given label describes the mood of the particular music excerpt. The second subjective test was conducted to collect the similarity data for the MDS (Multidimensional Scaling) analysis. Results were subject of various MDS and correlation analysis. Obtained MDS representation is relevant and remains coherent with widely-acclaimed 2-dimensional Thayer's model as well as with evaluation using six mood labels.
机译:本文提出了两个旨在对与音乐相关的情绪进行分类的实验。听力测试的两个部分是与一组学生一起设计和执行的,其中大部分是在线社交音乐服务的用户。最初的实验旨在评估给定标签描述特定音乐摘录的心情的程度。进行第二次主观测试以收集MDS(多维缩放)分析的相似性数据。结果是各种MDS和相关分析的主题。获得的MDS表示很重要,并且与广受赞誉的二维Thayer模型以及使用六个情绪标签进行的评估保持一致。

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