Comparar métodos

	Separação Vocal	Rastreamento de Batida
Área	Recuperação de informação musical	Recuperação de informação musical
Família	Machine learning	Machine learning
Ano de origem	2012	2007
Autor original	Yonggang Han	David P. Ellis
Tipo	Audio source separation	Audio signal processing algorithm
Fonte seminal	Han, Y., Qin, Z., & Kang, Z. (2012). Singing voice separation using spectral floor filtered spectrograms. In Proceedings of the International Society for Music Information Retrieval Conference.	Ellis, D. P. (2007). Beat tracking by dynamic programming. Journal of New Music Research, 36(1), 51-60.
Outros nomes	singing voice extraction, voice isolation, source demixing	pulse detection, beat detection, metrical analysis
Relacionados	5	5
Resumo	Vocal separation is the task of isolating the singing voice from a mixed music recording, leaving the instrumental accompaniment. Introduced formally by Han et al. (2012), it is critical for music editing, remixing, karaoke generation, and music analysis. Modern deep learning approaches (Défossez et al., 2021) have achieved impressive quality, enabling practical applications in music production and streaming services. Vocal separation is a special case of source separation, where the goal is to isolate the most perceptually salient source.	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.