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

Java Library for Automatic Musical Instruments Recognition

The paper presents open source Java library intended for analysis and classification of musical instruments sounds. It consists of two main parts: one devoted for feature extraction and the second performing musical instruments recognition and similarity assessment. Project’s plug-in based structure enables further extendibility of both modules. In the current version two separate sound modeling algorithms have been implemented: k-means and Gaussian Mixture Models. The software has been created for the purpose of recognition of different exemplars of the same type of instruments and validated for electric guitars, guitar-amplifiers and violins. Java project follows the latest trends in software engineering. It enables the developer to easily create highly usable, reliable and extendable programs.

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