Bandingkan metode

	Pelacakan Ketukan	Klasifikasi Genre Musik
Bidang	Temu Kembali Informasi Musik	Temu Kembali Informasi Musik
Keluarga	Machine learning	Machine learning
Tahun asal	2007	2002
Pencetus	David P. Ellis	George Tzanetakis
Tipe	Audio signal processing algorithm	Audio feature-based classification
Sumber perintis	Ellis, D. P. (2007). Beat tracking by dynamic programming. Journal of New Music Research, 36(1), 51-60.	Tzanetakis, G., & Cook, P. (2002). Musical genre classification of audio signals. IEEE Transactions on Speech and Audio Processing, 10(5), 293-302.
Alias	pulse detection, beat detection, metrical analysis	genre recognition, music categorization, style classification
Terkait	5	5
Ringkasan	Beat tracking is an algorithm for automatically identifying the temporal positions of musical beats in audio recordings. It has been widely studied since the early 2000s, particularly for rhythm analysis and music synchronization applications. The problem is central to music information retrieval and essential for music-aware systems.	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.