In this work, we propose a note detection approach based on harmonic matching pursuit (HMP) and specifically designed to detect simultaneous notes. However, HMP is not able to decompose harmonic sounds in different harmonic atoms when their fundamental frequencies are harmonically-related. To solve this problem, we propose an algorithm, called atomic spectral smoothness (SS), that works over the harmonic atoms obtained by HMP. This algorithm is based on the spectral smoothness principle which supposes that the spectral envelope of a harmonic sound usually forms smooth contours. Our proposal shows promising results for polyphonic musical signals with two harmonically-related note-events.

Authors: Canadas-Quesada, Francisco Jesus; Carabias-Orti, Julio Jose; Mata-Campos, Raul; Ruiz-Reyes, Nicolas; Vera-Candeas, Pedro
Affiliation: University of Jaen
AES Convention: 124 (May 2008) Paper Number: 7388
Publication Date: May 1, 2008
Subject: Analysis and Synthesis of Sound

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.