臺灣博碩士論文加值系統

本文主要為實作一個即時性的音樂節奏偵測系統，以Aubio(一個分類處理audio的系統)為基礎，來搜尋出近似人類的節拍知覺,在不需要任何樂器資訊與演奏風格的條件下，直接對某些格式音樂信號進行節拍辨識。
利用Aubio系統中，音符演奏點的偵測和節奏追蹤的功能，即時輸入音樂信號，預測出節拍的位置，並加上額外的分析和調整，找出最接近人類知覺的自然擊拍行為，最後與MPlayer播放器加以結合顯示。

This article is focused on a real-time music tempo detection system. Using Aubio, a audio categorization database, to search for a near-human tempo perception without any information on the instruments used or the genre of music. This allows for a direct tempo recognition for certain music signals.

Utilizing the onset detection and beat tracting functions in the Aubio Database, we are able to predict the tempo position by real-time input of music signals.With addition analysis and adjustments, it is possible to find the closet resemblance to natural human perception of tempo behaviours and combine with mplayer later for exhibition.

論文摘要 I
Abstract II
致謝 III
目錄 IV
圖目錄 VI
表目錄 VIII
第一章 緒論 1
1.1 研究背景 1
1.2 研究目的 3
1.3 論文架構 4
第二章 音樂的節奏與辨識的演算法 5
2.1音樂的組成元素 5
2.1.1節奏 5
2.1.2旋律 5
2.1.3和聲 5
2.2人類對於節奏的感知 6
2.3 辨識節奏的問題 7
2.4 節奏辨識的演算法 7
2.4.1 Aubio系統 8
2.4.2 Aubio節奏辨識演算法工作原理 11
第三章 Aubio演算法的改進 18
3.1 Aubio系統輸出結果分析 18
3.2 動態等時距節奏直方圖法 20
3.3 起始節拍點誤差與調校 24
第四章 節奏偵測系統實作 27
4.1工作平台介紹 27
4.1.1 Linux 27
4.1.2 VMware 28
4.2編譯Aubio 31
4.3 MPlayer 34
4.3.1 MPlayer簡介 34
4.3.2 MPlayer的編譯 37
4.4與節奏偵測系統的合併 38
4.5如何顯示介面 39
第五章 系統效能測試與硬體實現的可行性 41
5.2效能檢測 43
5.3硬體實現的可能性 44
第六章 結論 47
6.1總結 47
6.2未來的發展 47
參考文獻 48

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