手法を比較

	音楽類似度尺度 (Music Similarity Measure)	ビートトラッキング
分野	音楽情報検索	音楽情報検索
系統	Machine learning	Machine learning
提唱年	2001	2007
提唱者	Beth Logan	David P. Ellis
種類	Content-based audio similarity	Audio signal processing algorithm
原典	Logan, B., & Salomon, A. (2001). A music similarity function based on song structure. In Proceedings of the International Conference on Music Information Retrieval.	Ellis, D. P. (2007). Beat tracking by dynamic programming. Journal of New Music Research, 36(1), 51-60.
別名	music distance metric, timbral similarity, content-based similarity	pulse detection, beat detection, metrical analysis
関連	5	5
概要	Music similarity measures are computational methods for assessing how musically related two audio recordings are. Introduced by Logan (2001), similarity measures enable content-based music recommendation, playlist generation, and music discovery. Unlike fingerprinting, which identifies the same song, similarity measures gauge stylistic, timbral, and structural resemblance between different songs. Measures can be acoustic (comparing spectral features), high-level (genre, mood), or hybrid.	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.