Comparer des méthodes

	Détection de la tonalité musicale	Classification de genres musicaux
Domaine	Recherche d'information musicale	Recherche d'information musicale
Famille	Machine learning	Machine learning
Année d'origine	2006	2002
Auteur d'origine	Emilia Gómez	George Tzanetakis
Type	Tonal center estimation	Audio feature-based classification
Source fondatrice	Gómez, E. (2006). Tonal description of polyphonic audio for music content processing. In INESC Porto PhD Thesis.	Tzanetakis, G., & Cook, P. (2002). Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing, 10(5), 293-302.
Alias	key recognition, tonality estimation, musical center detection	genre recognition, music categorization, style classification
Apparentées	5	5
Résumé	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.	Music genre classification is the task of automatically assigning genre labels (rock, jazz, classical, pop, etc.) to audio recordings. Introduced formally by Tzanetakis and Cook (2002), it is one of the earliest and most studied music information retrieval problems. It remains critical for music discovery, recommendation systems, digital library organization, and music streaming services. Modern systems achieve high accuracy on standard datasets using deep learning.