AES Store

Journal Forum

Reflecting on Reflections - June 2014

Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007

Quiet Thoughts on a Deafening Problem - May 2014
1 comment

Access Journal Forum

AES E-Library

Automatic Labeling of Unpitched Percussion Sounds

We report a series of studies related to automatically labeling sounds from unpitched percussion instruments. Different databases have been set up in order to study relevant factors for labeling different sets of classes (up to 32 instruments, drum kit sounds, electronic sounds, manufacturer 'acoustic' signatures). Usual spectral features (i.e. centroid, skewness, etc.), Bark-band relative energies, and Mel-Frequency Cepstral coefficients, besides some additional original descriptors have been evaluated alongside different feature selection strategies. Classification techniques having different flavors and tradeoffs (k-NN, Kernel Density, Canonical Discriminant Analysis, Binary trees, etc.) have been also evaluated. It is shown that the feature set can be reduced by factors ranging from 2 to 3 without affecting performance, and that performance differences between classification techniques are in the order of 10% between the best (usually Kernel Density estimation) and the worst tested technique. For the most complex problem (classification of 32 sound categories) best hit rates were of up to 80%, whereas for drum kit problems containing 9 or less classes, performance increased to 88%, even using independent sample cross-validation. Very high success rates have been also achieved when labeling manufacturer-model, and when classifying drum machine sounds.

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