So sánh phương pháp

	Phân tích hòa âm trong âm nhạc	Nhận diện giọng nhạc
Lĩnh vực	Truy hồi thông tin âm nhạc	Truy hồi thông tin âm nhạc
Họ	Machine learning	Machine learning
Năm ra đời	2002	2006
Người khởi xướng	Bryan Pardo	Emilia Gómez
Loại	Harmonic function and progression analysis	Tonal center estimation
Công trình gốc	Pardo, B., & Birmingham, W. P. (2002). Algorithms for chordal analysis. Computer Music Journal, 26(4), 27-49.	Gómez, E. (2006). Tonal description of polyphonic audio for music content processing. In INESC Porto PhD Thesis.
Tên gọi khác	functional harmony analysis, harmonic progression detection, tonal function estimation	key recognition, tonality estimation, musical center detection
Liên quan	5	5
Tóm tắt	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.	Musical key detection is the task of automatically determining the key (tonal center) and scale mode of a musical composition from its audio. Introduced formally by Gómez (2006), it is essential for music analysis, transposition, harmonic understanding, and music theory education. The key defines the tonal center around which a piece gravitates; identifying it enables deeper structural understanding. Key detection is closely related to chord recognition but operates at a higher level of abstraction.