Title

InMAF: Indexing Music Databases via Multiple Acoustic Features

Publication Type

Conference Proceeding Article

Publication Date

2006

Abstract

Music information processing has become very important due to the ever-growing amount of music data from emerging applications. In this demonstration, we present a novel approach for generating small but comprehensive music descriptors to facilitate efficient content music management (accessing and retrieval, in particular). Unlike previous approaches that rely on low-level spectral features adapted from speech analysis technology, our approach integrates human music perception to enhance the accuracy of the retrieval and classification process via PCA and neural networks. The superiority of our method is demonstrated by comparing it with state-of-the-art approaches in the areas of music classification query effectiveness, and robustness against various audio distortion/alternatives.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

SIGMOD '06 Proceedings of the 2006 ACM SIGMOD international conference on management of data

First Page

778

Last Page

780

ISBN

9781595934345

Identifier

10.1145/1142473.1142587

Publisher

ACM

Additional URL

http://dx.doi.org/10.1145/1142473.1142587

Comments

System Demo Track

This document is currently not available here.

Share

COinS