Measures of the Perceived Level of Reverberation

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• Dr Patrick Naylor, EEE Imperial College London
• Friday 17 November 2017, 11:00-12:00
• Room 407B, level 4, EEE Building.

If you have a question about this talk, please contact Joan P O'Brien.

Abstract The perception of reverberation involves an interaction between the human auditory, visual and cognitive systems and is difficult to characterize, quantify and predict computationally. Nevertheless, measures of reverberation level – whether intrusive or non-intrusive - are highly valuable in many use-cases involving, for example, hearing aids or robots. This talk will introduce a recently proposed audio-based non-intrusive measure of the perceived level of reverberation in speech and will show the method’s comparative performance to state-of-the-art intrusive and non-intrusive approaches.

Biography Patrick Naylor is a member of academic staff in the Department of Electrical and Electronic Engineering at Imperial College London. He received the BEng degree in Electronic and Electrical Engineering from the University of Sheffield, UK, and the Ph.D. degree from Imperial College London, UK. His research interests are in the areas of speech, audio and acoustic signal processing. He has worked in particular on adaptive signal processing for speech dereverberation, blind multichannel system identification and equalization, acoustic echo control, speech quality estimation and classification, single and multi-channel speech enhancement and speech production modelling with a particular focus on the analysis of the voice source signal. In addition to his academic research, he enjoys several fruitful links with industry in the UK, USA and in Europe. He is the past-Chair of the IEEE Signal Processing Society Technical Committee on Audio and Acoustic Signal Processing and a member of the Board of Directors of the European Association for Signal Processing (EURASIP). He has served as an associate editor of IEEE Signal Processing Letters and is currently a senior area editor of IEEE Transactions on Audio Speech and Language Processing.

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