Items where Salford Author is "Duncan, PJ"

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Al-Noori, AHY, Duncan, PJ and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 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 (AES).
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Al-Noori, AHY, Li, FF ORCID: https://orcid.org/0000-0001-9053-963X and Duncan, PJ 2016, Robustness of speaker recognition from noisy speech samples and mismatched languages , in: 140th Convention-AES, 4-7 June 2016, Paris.
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Mohammed, DY, Duncan, PJ and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 2015, Audio content analysis in the presence of overlapped classes : a non-exclusive segmentation approach to mitigate information losses , in: Global Summit and Expo on Multimedia & Applications, 10-11 August 2015, Birmingham, UK.
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Duncan, PJ, Mohammed, DY and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 2015, Audio information extraction from arbitrary sound recordings , in: 22nd International Congress on Sound and Vibration (ICSV22), 12th - 16th July, Florence, Italy.
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Mohammed, DY, Duncan, PJ, Al-Maathidi, MM and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 2015, 'A system for semantic information extraction from mixed soundtracks deploying MARSYAS framework' , in: 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) , IEEE, pp. 1084-1089.
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Duncan, PJ, Mohammed, DY and Li, FF ORCID: https://orcid.org/0000-0001-9053-963X 2014, Audio information mining pragmatic review, outlook and a universal open architecture , in: Audio Engineering Society 136th Convention, 26-29 April 2014, Berlin.
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Dodds, PS 2009, A critical investigation into the properties of metallised film capacitors for high quality sound reproduction , MSc by research thesis, University of Salford.
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