Audio information mining pragmatic review, outlook and a universal open architecture (2014)
Presentation / Conference
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

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... Read More about Audio information mining pragmatic review, outlook and a universal open architecture.

A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework
Book Chapter
Mohammed, D., Duncan, P., Al-Maathidi, M., & Li, F. A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework. In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) (1084-1089). IEEE. https://doi.org/10.1109/INDIN.2015.7281886

Ever increasing volumes of media content and the desire to extract information from media archives motivate the studies into semantic audio information mining. Much research in this filed concerns development of bespoke systems, in which sound tracks... Read More about A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework.

Audio information extraction from arbitrary sound recordings
Presentation / Conference
Duncan, P., Mohammed, D., & Li, F. Audio information extraction from arbitrary sound recordings. Presented at 22nd International Congress on Sound and Vibration (ICSV22), Florence, Italy

Numerous archives of entertainment soundtracks and other recordings such as environmental noise samples have imposed a big data challenge in audio related industries. This necessitates the use of machine audition and retrieval tools to extract semant... Read More about Audio information extraction from arbitrary sound recordings.