Loading...
Please wait, while we are loading the content...
Similar Documents
Inferring efficient hierarchical taxonomies for mir tasks: application to musical instruments (2005).
| Content Provider | CiteSeerX |
|---|---|
| Author | Essid, Slim Richard, Gaël David, Bertrand |
| Abstract | A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this paper, we propose a new strategy to automatically acquire hierarchical taxonomies, using machine learning methods, which are expected to maximize the performance of subsequent classification. It is shown that the optimal hierarchical taxonomy of musical instruments (in the sense of inter-class distances) does not follow the traditional and more intuitive instrument classification into instrument families. |
| File Format | |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Musical Instrument Mir Task Efficient Hierarchical Taxonomy Hierarchical Taxonomy Intuitive Instrument Classification Inter-class Distance Instrument Family Optimal Hierarchical Taxonomy Automatic Audio Classification Subsequent Classification Improved Performance New Strategy |
| Content Type | Text |
