透過您的圖書館登入
IP:216.73.216.78
  • 學位論文

適用於音樂結構分析之終止式偵測

Cadences Detection for Music Structure Analysis

指導教授 : 吳家麟

摘要


對於一般人來說,欣賞並了解古典音樂並不是一件容易的事,在這篇論文中,我們希望提供另一套分析音樂結構的方法,以協助使用者更容易地欣賞古典音樂。以往在音樂結構分析方面的研究可以分成兩類,一類是透過音樂的符號形式(symbolic representation,例如樂譜或是midi檔)來進行分析,一類是從音樂的波形形式(waveform)來加以分析。在現階段,使用符號形式進行分析的研究所使用的方法尚難以被應用在波形形式的分析上;而在依據波形形式進行分析的研究中,大部分使用的方法都侷限於辨認音樂中重複出現的結構,較少引入的樂理知識。因此,我們在本論文中提出使用波形形式分析古典音樂結構的方法,並且引入了更深入的樂理知識,例如:終止式。此外,我們嘗試由曲式分析出發的觀點來分析音樂的結構。

並列摘要


It is a non-trivial task for untrained people to appreciate classical music pieces. Thus, we present a method of music structure analysis in order to help people understand the conveyed messages in the music. Previous works in music structure analysis can be classified by the two types of input sources: symbolic representations (scores or midi files) and waveform format (mp3, wav, etc). The methods used in analyzing symbolic representations cannot be easily applied to waveform-format analysis due to the immaturity of polyphonic transcription technique. Accordingly, most researchers analyze the waveform-format music by recognizing the repetitive patterns represented in low level features extracted directly from the waveform. However, in this methodology, the importance of music theory is often neglected. Therefore, in this thesis, we focus on analyzing waveform-format classical music and attempt to segment music based on more in-depth music theory, such as the cadence. Moreover, instead of relying on the low level repeating structure, we address the structure analysis problem from the semantic perspective of “musical form”.

參考文獻


[2] Y. Zhu, M. S. Kankanhalli, and S. Gao, “Music key detection for musical audio,” in the Proceedings of the 11th International Multimedia Modelling Conference (MMM '05), 2005.
[3] C.-H. Chuan and E. Chew, “Audio key finding: Considerations in system design and case studies on chopin's 24 preludes,” EURASIP Journal on Advances in Signal Processing, vol. 2007, no. 1, pp. 156-156, 2007.
[4] N. C. Maddage, M. S. Kankanhalli, and L. Haizhou, “A hierarchical approach for music chord modeling based on the analysis of tonal characteristics,” in the Proceedings of IEEE International Conference on Multimedia and Expo (ICME '06), 2006.
[6] G. E. Poliner, et al., “Melody transcription from music audio: Approaches and evaluation,” IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, no. 4, pp. 1247-1256, 2007.
[7] G. E. Poliner and D. P. W. Ellis, “A discriminative model for polyphonic piano transcription,” EURASIP Journal on Advances in Signal Processing, vol. 2007, no. 1, 2007.

延伸閱讀