Published October 9, 2019 | Version 1

Blind Source Separation of Musical Notes

  • 1. University of York

Contributors

Supervisor:

  • 1. University of York

Description

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.

Files

ASS-Musical-Notes-V01.zip

Files (8.3 MB)

Name Size Download all
md5:2b6a0f25105ac490f8f17d19f107c64f
8.3 MB Preview Download