Salīdzināt metodes

	Tempo noteikšana	Mūzikas segmentācija
Nozare	Mūzikas informācijas izgūšana	Mūzikas informācijas izgūšana
Saime	Machine learning	Machine learning
Izcelsmes gads	1998	2001
Autors	Eric D. Scheirer	Masataka Goto
Tips	Audio tempo analysis	Audio structural analysis
Pirmavots	Scheirer, E. D. (1998). Tempo and beat analysis of acoustic musical signals. The Journal of the Acoustical Society of America, 103(1), 588-601.	Goto, M., & Hasegawa, Y. (2001). Automatic transcription of popular music audio. In Proceedings of the Fourth International Conference on Music Information Retrieval.
Citi nosaukumi	tempo detection, BPM estimation, pulse rate detection	structural segmentation, music structure analysis, section boundary detection
Saistītās	5	5
Kopsavilkums	Tempo estimation is the task of automatically determining the beats per minute (BPM) or tempo of a musical recording. Introduced by Scheirer (1998), it is fundamental to rhythm analysis, music classification, and synchronization applications. Tempo is one of the most perceptually salient features of music; accurate estimation enables music-aware systems and human-machine interaction. Unlike beat tracking, which produces discrete beat times, tempo estimation yields a single BPM value (or a distribution of likely tempi).	Music segmentation is the task of dividing a musical recording into distinct structural sections (e.g., verse, chorus, bridge, pre-chorus, outro). Introduced by Goto (2001), it identifies major structural boundaries and labels sections according to musical form. Segmentation is essential for music understanding, audio editing, and composition analysis. It enables higher-level tasks like cover song identification and song structure-aware music generation.