Journal Forum

Synthetic Reverberator - January 1960
1 comment

Multichannel Sound Reproduction Quality Improves with Angular Separation of Direct and Reflected Sounds - June 2015
1 comment

Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015

Access Journal Forum

AES E-Library

Automatic Chord Identifcation using a Quantised Chromagram

Document Thumbnail

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.

AES Convention: Paper Number:
Publication Date:

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