A Physiologically Inspired Method for Audio Classification

A Physiologically Inspired Method for Audio Classification

We explore the use of physiologically inspired auditory features with both physiologically motivated and statistical audio classification methods. We use features derived from a biophysically defensible model of the early auditory system for audio classification using a neural network classifier. We...

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Bibliographic Details
Main Authors: David V. Anderson, Kristopher Schlemmer, Sourabh Ravindran
Format: Article
Language:English
Published: SpringerOpen 2005-06-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
auditory model
feature extraction
neural nets
audio classification
Gaussian mixture models.
Online Access:http://dx.doi.org/10.1155/ASP.2005.1374

Internet

http://dx.doi.org/10.1155/ASP.2005.1374

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