Perceptual Effects of Dynamic Range Compression in Popular Music Recordings - January 2014
Accurate Calculation of Radiation and Diffraction from Loudspeaker Enclosures at Low Frequency - June 2013
New Measurement Techniques for Portable Listening Devices: Technical Report - October 2013
Automatic Classification of Musical Sounds
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.:
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.