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All Outputs (7)

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.

Robustness of speaker recognition from noisy speech samples and mismatched languages (2016)
Presentation / Conference
Al-Noori, A., Li, F., & Duncan, P. (2016, June). Robustness of speaker recognition from noisy speech samples and mismatched languages. Presented at 140th Convention-AES, Paris

Speaker recognition systems can typically attain high performance in ideal conditions. However, significant degradations in accuracy are found in channel-mismatched scenarios. Non-stationary environmental noises and their variations are listed at the... Read More about Robustness of speaker recognition from noisy speech samples and mismatched languages.

Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses (2015)
Presentation / Conference
Mohammed, D., Duncan, P., & Li, F. (2015, August). Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses. Presented at Global Summit and Expo on Multimedia & Applications, Birmingham, UK

Soundtracks of multimedia files are information rich, from which much content-related metadata can be extracted. There is a pressing demand for automated classification, identification and information mining of audio content. A segment of the audio s... Read More about Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses.

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 critical investigation into the properties of metallised film capacitors for high quality sound reproduction (2009)
Thesis
Dodds, P. A critical investigation into the properties of metallised film capacitors for high quality sound reproduction. (Dissertation). University of Salford

This is an account of work carried out through a Knowledge Transfer Partnership with Industrial Capacitors (Wrexham) Ltd to assess the effects of metallised film polypropylene capacitors on key sonic attributes of reproduced sound. The capacitors... Read More about A critical investigation into the properties of metallised film capacitors for high quality sound reproduction.

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.