Blind Source Separation of Musical Notes

BLIND SOURCE SEPARATION OF MUSICAL NOTES. This dataset contains 12 groups of three musical notes whose pitches are not in harmonic relation. They were extracted from the RWC Musical Instrument Sound Database [1] and were used for performance evaluation of an audio source separation system, proposed in my PhD thesis [2], in Chapter 5, Section 5.8.2, on page 150. [1] M. Goto, H. Hashiguchi, T. Nishimura, and R. Oka, "RWC music database: music genre database and musical instrument sound database," in Proceedings of the 4th International Conference on Music Information Retrieval, pp. 229-230, 2003. [2] Delgado Castro, A. "Iterative separation of note events from single-channel polyphonic recordings". Ph.D. University of York. 2019.

Related Organizations

University of York
United Kingdom

Keywords

audio source separation, multipitch estimation, music information retrieval

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average