AES E-Library

AES E-Library

Classification of Music Using Neural Net

Document Thumbnail

A neural network has been used to classify program material into groups according to the room acoustics that best suit the recording. The network uses Kohonens feature map followed by learning vector quantization and a real-time system for preprocessing and classification. Although an accuracy of better than 80% was achieved, classification can vary greatly from one case to another.

Authors:
Affiliation:
AES Convention: Paper Number:
Publication Date:
Subject:
Permalink: http://www.aes.org/e-lib/browse.cfm?elib=6837

Click to purchase paper as a non-member 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 $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!


AES - Audio Engineering Society