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題名：Content-Based Classification of Alpha Wave Music
書刊名：資訊科技國際期刊
作者：羅有隆／賴姿吟
出版日期：2015
卷期：9:1
頁次：頁50-60
主題關鍵詞：多媒體資料庫；音樂資料庫；音樂分類；α波音樂；Multimedia database；Music database；Music classification；Alpha wave music
原始連結：連回原系統網址new window
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  • 點閱點閱:10
音樂治療是利用音樂來幫助病人改善他們身心靈的健康。當人們放鬆閉眼休息的時候人的腦部訊號會產生一種頻率介於 8~14Hz 間的，α (alpha)波。許多的醫學相關研究報告指出，有一些特定的音樂可以與人腦的 α波產生共振，並增強此波的產生。如此，這些 α波音樂可以幫助人們更加的放鬆紓壓，當人們需要休息時，將可以有很大的幫助。這也就是為什麼人們在放鬆或紓壓時，經常喜歡聽著音樂的緣故。目前對這些 α波音樂的分類，都是靠專家做人工辨別。雖然也已經有許多的音樂分類研究被發表，但多是依音樂的風格與流派在分類，例如：搖滾、古典、爵士、鄉村等等。至今還沒有對 α波音樂的分類方法研究被提出來。這個研究報告，我們將探討如何對 α波音樂做分析分類。我們的研究成果，希望能幫助發展音樂分類系統更為擴大應用與實用可行，以及期望能對音樂治療方面也有所助益。
The music therapy music to help patients to improve or maintain tusesheir physical and spiritual health. When people relax with closed eyes, an alpha wave in the frequency range of 8–12Hz appears with brain signals. There were many medical reports proofed that some specific music can resonate with the alpha wave. Therefore, these alpha wave music can improve more relaxing for people and is very helpful when they need to take a rest. That's why people like to listen music when relaxing. Currently, these of specific music are classified manually by expertise only. The existing music classification approaches are almost all categorized by styles and genres, such as pop, classical, jazz, folk, etc. Accordingly, till now, there is no research report studied about classification of alpha wave music. In this research,will investigate the content-based features o we f the alpha wave music, and develop the classification method for alpha wave music. We expect our effort can help to expand the applications and develop the more realistic of music classification system as well as to aid music therapy.
期刊論文
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會議論文
1.Bhattacharya, B. S.、Coyle, D.、Maguire, L.(2010)。Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model。The 2010 International Joint Conference on Neural Networks，(會議日期: 2010/07/18-07/23)，1-7。  new window
2.Fu, Z.、Lu, G.、Ting, K. M.、Zhang, D.(2010)。Learning Naive Bayes Classifiers for Music Classification and Retrieval。20th International Conference on Pattern Recognition。  new window
3.Lo, Y. L.、Lin, C. Y.(2010)。Content-Based Music Classification。The 3rd IEEE International Conference on Computer Science and Information Technology。Chengdu, China。  new window
4.Lo, Y.-L.、Lin, Y. C.(2012)。Content-Based Multi-Feature Music Classification。International Conference on Innovation and Management，(會議日期: 2012/07/15-07/18)。  new window
5.Myint, E. E. P.、Pwint, M.(2010)。An Approach for Mulit-label Music Mood Classification。The 2nd International Conference on Signal Processing Systems。  new window
6.Vijayalakshmi, K.、Sridhar, S.、Khanwani, P.(2010)。Estimation of effects of alpha music on EEG components by time and frequency domain analysis。International Conference on Computer and Communication Engineering，(會議日期: 2010/05/11-05/13)。Kuala Lumpur, Malaysia。1-5。  new window
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22.Liu, C. C.、Hsu, J. L.、Chen, Arbee, L. P.(1999)。Efficient Theme and Non-Trivial Repeating Pattern Discovering in Music Databases14-21。  new window
圖書
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2.Huang, X. D.、Acero, A.、Hon, H.-W.(2001)。Spoken Language Processing: A Guide to Theory, Algorithm and System Development。Upper Saddle River, NJ：Prentice Hall。  new window
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圖書論文
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