Krahasoni metodat

	Klasifikimi i Zhandrit Muzikor	Analiza e Timbreve
Fusha	Marrja e informacionit muzikor	Marrja e informacionit muzikor
Familja	Machine learning	Machine learning
Viti i origjinës	2002	1977
Krijuesi	George Tzanetakis	John M. Grey
Lloji	Audio feature-based classification	Acoustic feature extraction and analysis
Burimi themelues	Tzanetakis, G., & Cook, P. (2002). Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing, 10(5), 293-302.	Grey, J. M. (1977). Multidimensional perceptual scaling of musical timbres. The Journal of the Acoustical Society of America, 61(5), 1270-1277.
Emërtime të tjera	genre recognition, music categorization, style classification	tone color analysis, spectral characterization, timbre descriptor extraction
Të lidhura	5	5
Përmbledhja	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.	Timbre analysis is the computational characterization and modeling of tone color—the perceived quality that distinguishes one instrument from another even at the same pitch and loudness. Pioneered by Grey (1977), timbre analysis extracts acoustic descriptors that characterize spectral shape, temporal dynamics, and harmonic content. It underlies instrument identification, music similarity assessment, and audio retrieval. Unlike melody and rhythm, timbre is high-dimensional and context-dependent, making it one of the most challenging aspects of music analysis.