Analysis and Identification of Mistakes and Missed Notes in Piano Recordings Based on Fourier Transform

DOI

10.2991/978-2-38476-319-1_27How to use a DOI?

Keywords

Fourier transform; piano audio signal; frequency analysis; mistake identification; missed note detection

Abstract

This study aims to explore the theoretical application of the Fourier transform in analyzing piano audio signals and to identify potential methods for detecting mistakes and missed notes. The Fourier transform is a powerful tool for revealing the frequency characteristics of audio signals, making it suitable for extracting frequency domain features from piano recordings, which can be used to compare actual performance with expected spectral features to detect inaccuracies.

Copyright

© 2024 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.

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TY  - CONF
AU  - Xiyuan Li
PY  - 2024
DA  - 2024/12/14
TI  - Analysis and Identification of Mistakes and Missed Notes in Piano Recordings Based on Fourier Transform
BT  - Proceedings of the 2024 6th International Conference on Literature, Art and Human Development (ICLAHD 2024)
PB  - Atlantis Press
SP  - 248
EP  - 258
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-319-1_27
DO  - 10.2991/978-2-38476-319-1_27
ID  - Li2024
ER  -