以內容為基礎之Alpha 波音樂近似曲風研究

Content-based Genre Similarity Analysis of Alpha Wave Music

當人們在閉上眼睛放鬆休息但意識清楚時，腦部訊號會產生一種頻率介於8~14Hz 間的α波。許多的醫學相關研究報告指出，一些特定的音樂可以與人腦的α波產生共振，增加強度，對於放鬆紓壓有很大的幫助。目前α波音樂的判別，皆需靠著專家以人工的方式進行，因此，已被歸類為α波的音樂並不普遍。此外，現今的研究報告，也少有針對α波音樂進行相關分析及討論。本研究報告將利用音樂內容特徵，分析α波音樂的屬性，檢視α波音樂是否與某類曲風的音樂較為接近，以做為推薦。在電腦自動判別α波音樂尚未被發展出來前，期望可以藉由聆聽近似α波音樂曲風的音樂，達到放鬆紓壓之效果。

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 and strengthen the wave. Therefore, this alpha wave music can improve more relaxing for people and are very helpful when they need to take a rest. Currently, due to the alpha wave music is classified manually by expertise only, the alpha wave music is not popular in the market. Till now, there is few research reports studied about automatic classification of alpha wave music. In this research, we will investigate the content-based features of the alpha wave music and use them to analyze the similarity between alpha wave music and existing music genres. The purpose of this research is to find a music genre which alpha wave music is closest to, such that we can recommend user to listen that kind of music genre for relaxing before the scheme of automatic classification of alpha wave music being developed.