Duncan, PJ, Mohammed, D and Li, FF 2014, Audio information mining pragmatic review, outlook and a universal open architecture , in: Audio Engineering Society 136th Convention, 26-29 April 2014, Berlin.
- Published Version
Restricted to Repository staff only
Download (922kB) | Request a copy
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.
|Item Type:||Conference or Workshop Item (Paper)|
|Themes:||Media, Digital Technology and the Creative Economy|
|Schools:||Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)|
|Publisher:||Audio Engineering Society (AES)|
|Funders:||Iraqui Government sponsored Ph.D|
|Depositing User:||PJ Duncan|
|Date Deposited:||03 Jul 2015 16:32|
|Last Modified:||29 Oct 2015 00:23|
Actions (login required)
|Edit record (repository staff only)|