Title :
A SOM-based multimodal system for musical query-by-content
Author :
Dickerson, Kyle ; Ventura, Dan
Author_Institution :
Dept. of Comput. Sci., Brigham Young Univ., Provo, UT, USA
fDate :
July 31 2011-Aug. 5 2011
Abstract :
The ever-increasing density of computer storage devices has allowed the average user to store enormous quantities of multimedia content, and a large amount of this content is usually music. We present a query-by-content system which searches the actual audio content of the music and supports querying in several styles using a Self-Organizing Map as its basis. Empirical results demonstrate the viability of this approach for musical query-by-content.
Keywords :
content management; content-addressable storage; multimedia computing; music; query processing; self-organising feature maps; self-organising storage; SOM-based multimodal system; computer storage device density; multimedia content storage; music audio content; musical query-by-content; self-organizing map; Equations; Feature extraction; Libraries; Measurement; Mel frequency cepstral coefficient; Training; Vectors;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033234
