摘要
依據醫學報告，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，並增加人腦的 α 波強度，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。 音樂資料的內容提供多樣的特徵，例如：主旋律、節拍與和弦等等，這些皆可呈現出一首音樂的曲風與特色。 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。
並列摘要
When people relax with closed eyes, an alpha wave in the frequency range of 8–12 Hz 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. The content-based music provided diverse musical features such as: melody, rhythm and chords, etc., which can represent a song genre and features. 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.
參考文獻
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