Classification of Audio Signal Using Local Discriminant Bases
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 8
Abstract
In the age of digital information, audio data has become an important part in many modern computer applications. Audio classification has been becoming a focus in the research of audio processing and pattern recognition. Automatic audio classification is very useful to audio indexing, content-based audio retrieval and on-line audio distribution, but it is a challenge to extract the most common and salient themes from unstructured raw audio data. To generate the highest quality classification of audio signal. To obtain high accuracy for this classification into natural and artificial classes in this Local Discriminant Bases (LDB) technique the main aim here is to analyze and characterize audio content and the key feature is to identify discriminatory subspaces using LDB technique. To use simple features for the classification and reduce the complexity of the system.
Authors and Affiliations
S. V. Dhabarde, Prof. P. S. Deshpande
Keywords
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