方法证据记录
Harmonic Analysis in Music
Harmonic analysis is the computational study of chord progressions, harmonic function, and tonal relationships in music. Formalized for audio by Pardo and Birmingham (2002), it goes beyond simple chord identification to interpret harmonic role and structure. Harmonic analysis is essential for music theory education, compositional understanding, and music generation systems. It requires understanding both the chords themselves and their functional relationships within a tonal context.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Harmonic Analysis and Harmonic Function Identification Algorithm
分类方法记录 · ml-model / music-information-retrieval
- Pardo, B., & Birmingham, W. P. (2002). Algorithms for chordal analysis. Computer Music Journal, 26(4), 27-49. · DOI 10.1162/014892602760137167
- Pauwels, G., Salamon, J., Gómez, E., & Ryckebusch, P. (2015). Automatic chord estimation from audio using a Deep Neural Network trained on music theory. In Proceedings of the International Society for Music Information Retrieval Conference. · URL
- Chen, T. P., Tan, A. H., & Zhu, S. (2012). Speech emotion recognition using robust temporal dynamics-based feature extraction methods. In Proceedings of the International Conference on Neural Information Processing. · URL
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