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	Detektion av musikalisk tonart	Musikgenreklassificering
Ämnesområde	Music information retrieval	Music information retrieval
Familj	Machine learning	Machine learning
Ursprungsår	2006	2002
Upphovsperson	Emilia Gómez	George Tzanetakis
Typ	Tonal center estimation	Audio feature-based classification
Ursprungskälla	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
Närliggande	5	5
Sammanfattning	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.