A method to identify notes and chords of piano is presented. A simplified piano model based on physical properties has been developed for generating spectral patterns used for identification of notes and chords. The patterns generated are used to measure correlation with the chord to be identified. The results using typical values for the model parameters are good enough, but they are improved if the model is trained. Successful recognition of three-note piano chords has been carried out.

Authors: Ortiz-Berenguer, Luis I.; Casajus-Quiros, Francisco J.
Affiliations: Deptment. IAC. Polytechnic University of Madrid, Madrid, Spain ; Deptment. SSR, Polytechnic University of Madrid, Ciudad Universitaria Madrid, Spain(See document for exact affiliation information.)
AES Convention: 112 (April 2002) Paper Number: 5525
Publication Date: April 1, 2002 Import into BibTeX
Subject: Musical Acoustics
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=11400

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD aes19)   /pp2002/pp0205/000112.pdf

Start a discussion about this paper!