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Training "on the fly" to improve the performance of speaker recognition in noisy environments (2017)
Book Chapter
Al-Noori, A., Duncan, P., & Li, F. (2017). Training "on the fly" to improve the performance of speaker recognition in noisy environments. In Proceedings: 2017 AES International Conference on Audio Forensics. Audio Engineering Society

Reliability of Speaker Recognition (SR) is crucial for critical applications, especially in adverse acoustic conditions. Ambient noises and their variations represent a significant challenge for such applications. In this paper, a new technique is... Read More about Training "on the fly" to improve the performance of speaker recognition in noisy environments.

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.