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Audio information mining pragmatic review, outlook and a universal open architecture

Duncan, PJ; Mohammed, DY; Li, FF


PJ Duncan

DY Mohammed



There is an immense amount of audio data available currently whose content is unspecified and the problem of classification and generation of metadata poses a significant and challenging research problem. We present a review of past and current work in this field; specifically in the three principal areas of segmentation, feature extraction and classification and give an overview and critical appraisal of techniques currently in use. One of the major impediments to progress in the field has been specialism and the inability of classifiers to generalize and we propose a nonexclusive generalized open architecture framework for classification of audio data which will accommodate third party plugins and work with multi-dimensional feature/descriptor space as input.


Duncan, P., Mohammed, D., & Li, F. (2014, April). Audio information mining pragmatic review, outlook and a universal open architecture. Presented at Audio Engineering Society 136th Convention, Berlin

Presentation Conference Type Other
Conference Name Audio Engineering Society 136th Convention
Conference Location Berlin
Start Date Apr 26, 2014
End Date Apr 29, 2014
Acceptance Date Mar 19, 2023
Publication Date Apr 25, 2014
Deposit Date Jul 3, 2015
Publisher Audio Engineering Society
Publisher URL
Related Public URLs
Additional Information Event Type : Conference
Funders : Iraqi Government sponsored Ph.D