Music Chord Recognition Based on Robust PCP Feature and SVM

DOI

10.2991/978-94-6463-040-4_229How to use a DOI?

Keywords

Robustness; PCP Feature; SVM; Music Chord

Abstract

Music is the most direct and effective means to express emotion, and the effective identification of music works can help us better understand the works and realize the correct interpretation of music. This paper takes robust PCP feature and SVM as the research object. Firstly, the related concepts of terms and a large number of robust CFO description chord spectrum methods used in audio analysis are introduced. Secondly, it expounds the correlation between SVM and speech tonality, designs the system of music chord recognition, tests the performance of the system, and focuses on the test in the direction of recognition rate. Finally, the test results show that the system greatly improves the recognition of music chords with the support of robustness feature optimization and SVM pattern.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Hairong Cui
PY  - 2022
DA  - 2022/12/27
TI  - Music Chord Recognition Based on Robust PCP Feature and SVM
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 1529
EP  - 1533
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_229
DO  - 10.2991/978-94-6463-040-4_229
ID  - Cui2022
ER  -