Comparar métodos

	Análise Harmônica em Música	Reconhecimento de Acordes
Área	Recuperação de informação musical	Recuperação de informação musical
Família	Machine learning	Machine learning
Ano de origem	2002	2005
Autor original	Bryan Pardo	Christopher Harte
Tipo	Harmonic function and progression analysis	Harmonic audio analysis
Fonte seminal	Pardo, B., & Birmingham, W. P. (2002). Algorithms for chordal analysis. Computer Music Journal, 26(4), 27-49.	Harte, C., Sandler, M. B., Abdallah, S. A., & Gómez, E. (2005). Symbolic representation of musical chords: Proposed extensions to the HarmO ontology. In Proceedings of the International Society for Music Information Retrieval Conference.
Outros nomes	functional harmony analysis, harmonic progression detection, tonal function estimation	chord estimation, harmonic analysis, chord detection
Relacionados	5	5
Resumo	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.	Chord recognition is the task of automatically identifying the harmonic chords present in a musical recording and estimating when chord changes occur. Introduced formally by Harte et al. (2005), it is a cornerstone of music analysis and widely used in music education, cover song analysis, and musical structure understanding. Modern systems use deep learning to classify and sequence chords in real time.