| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 536058 | Pattern Recognition Letters | 2010 | 8 Pages |
Abstract
A recognition system for environmental sounds is presented. Signal-driven classification is performed by applying machine-learning techniques on features extracted from a cochleogram. These possibly unreliable classifications are improved by creating expectancies of sound events based on context information.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
J.D. Krijnders, M.E. Niessen, T.C. Andringa,