AES E-Library

AES E-Library

Automatic Classification of Musical Sounds

Document Thumbnail

A study of the automatic classification of musical instrument sounds is presented. For this purpose, a large database of musical instrument sounds was built, which consists of both solo and duet stereo recordings. The classification process of musical instrument sounds is done on the basis of some soft computing techniques, such as neural networks. The results of the classification are given as a percentage of musical instrument sounds properly recognized by the system. A discussion of the system's efficiency and limitations is presented. Conclusions and remarks concerning further development of this study are also included.:

AES Convention: Paper Number:
Publication Date:
Session Subject:

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