Usporedite metode

	Detekcija glazbenog tonaliteta	Klasifikacija glazbenih žanrova
Područje	Pronalaženje glazbenih informacija	Pronalaženje glazbenih informacija
Obitelj	Machine learning	Machine learning
Godina nastanka	2006	2002
Tvorac	Emilia Gómez	George Tzanetakis
Vrsta	Tonal center estimation	Audio feature-based classification
Temeljni izvor	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.
Drugi nazivi	key recognition, tonality estimation, musical center detection	genre recognition, music categorization, style classification
Srodne	5	5
Sažetak	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.