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| 題名: | Music emotion detection using hierarchical sparse kernel machines |
| 作者: | 王家慶;Wang, Jia-Ching;Siahaan, Ernestasia;Lin, Chang-Hong;Chin, Yu-Hao |
| 貢獻者: | 資訊電機學院資訊工程學系 |
| 關鍵詞: | Algorithms;Auditory Perception - physiology;Biomimetics - methods;Discriminant analysis;Emotions;Emotions - physiology;Happiness;Humans;Identification and classification;Listening;Machine learning;Music;Pattern Recognition, Automated - methods;Principal components analysis;Probability;Psychological aspects;Sound Spectrography - methods;Support Vector Machine |
| 日期: | 2014-01-01 |
| 上傳時間: | 2026-04-23 13:55:07 (UTC+8) |
| 出版者: | Hindawi Limited;Cairo, Egypt: Hindawi Publishing Corporation |
| 摘要: | 摘要： For music emotion detection, this paper presents a music emotion verification system based on hierarchical sparse kernel machines. With the proposed system, we intend to verify if a music clip possesses happiness emotion or not. There are two levels in the hierarchical sparse kernel machines. In the first level, a set of acoustical features are extracted, and principle component analysis (PCA) is implemented to reduce the dimension. The acoustical features are utilized to generate the first-level decision vector, which is a vector with each element being a significant value of an emotion. The significant values of eight main emotional classes are utilized in this paper. To calculate the significant value of an emotion, we construct its 2-class SVM with calm emotion as the global (non-target) side of the SVM. The probability distributions of the adopted acoustical features are calculated and the probability product kernel is applied in the first-level SVMs to obtain first-level decision vector feature. In the second level of the hierarchical system, we merely construct a 2-class relevance vector machine (RVM) with happiness as the target side and other emotions as the background side of the RVM. The first-level decision vector is used as the feature with conventional radial basis function kernel. The happiness verification threshold is built on the probability value. In the experimental results, the detection error tradeoff (DET) curve shows that the proposed system has a good performance on verifying if a music clip reveals happiness emotion.
其他題名： ScientificWorldJournal
出版者： Cairo, Egypt: Hindawi Publishing Corporation
出版日期： 2014-01-01
出處： TheScientificWorld, 2014-01, Vol.2014 (2014), p.1-7
資源來源： Agricultural & Environmental Science Collection
版權： Copyright © 2014 Yu-Hao Chin et al.
版權： COPYRIGHT 2014 John Wiley & Sons, Inc.
版權： COPYRIGHT 2014 Hindawi Limited
版權： Copyright © 2014 Yu-Hao Chin et al. Yu-Hao Chin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
版權： Copyright © 2014 Yu-Hao Chin et al. 2014
識別號： ISSN: 2356-6140
識別號： ISSN: 1537-744X
識別號： EISSN: 1537-744X
識別號： DOI: 10.1155/2014/270378
識別號： PMID: 24729748 |
| 顯示於類別: | [資訊工程學系] 期刊論文
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