AES Store

Journal Forum

Perceptual Effects of Dynamic Range Compression in Popular Music Recordings - January 2014
4 comments

Accurate Calculation of Radiation and Diffraction from Loudspeaker Enclosures at Low Frequency - June 2013
9 comments

New Measurement Techniques for Portable Listening Devices: Technical Report - October 2013
1 comment

Access Journal Forum

AES E-Library

Automatic Chord Identifcation using a Quantised Chromagram

This paper presents an approach to the problem of identifying musical chords from audio recordings. In our approach, a tuning algorithm is applied to a 36-bin chromagram to accurately locate the boundaries between semitones. This allows the calculation of a 12-bin semitone-quantised chromagram, which can then be compared with a set of predefined chord templates in order to generate a sequence of chord estimates. The performance of our method is evaluated by comparing the results with a test database of hand-labelled pieces, from which the initial results are encouraging. The paper concludes with a discussion of some possible improvements to the algorithms presented.

Authors:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:

Click to purchase paper 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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


 
Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society