By Topic

On detecting note onsets in piano music

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Marolt, M. ; Fac. of Comput. & Inf. Sci., Ljubljana Univ., Slovenia ; Kavcic, A. ; Privosnik, M. ; Divjak, S.

This paper presents an overview of our researches in the use of connectionist systems for transcription of polyphonic piano music and concentrates on the issue of onset detection in musical signals. We propose a new technique for detecting onsets in a piano performance. The technique is based on a combination of a bank of auditory filters, a network of integrate-and-fire neurons and a multilayer perceptron. Such a structure introduces several advantages over the standard peak-picking onset detection approach and we present its performance on several synthesized and real piano recordings. Results show that our approach represents a viable alternative to existing onset detection algorithms.

Published in:

Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean

Date of Conference: