Imperial College London

Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Speech & Acoustic Signal Processing
 
 
 
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Contact

 

+44 (0)20 7594 6235p.naylor Website

 
 
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Location

 

803Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Communications and signal processing are enabling technologies of many of today's most important applications. In a diverse and competitive field, my main reseearch interests are in acoustic signal processing, speech processing and audio. Sound is of key importance in everyday life. Being able to capture, process, store and transmit sound has been pivotal to telecommunications and entertainment for many years. One of the new challenges in this growing research field is spatial audo, for which one has to consider not only the sound itself but also the acoustic environment in which the sound exists. This has given rise to many interesting research threads under the general heading of acoustic signal process - meaning the processing of acoustic signals. The tasks of acoustic signal processing include reducing noise from speech, finding the direction of a sound using multiple microphones, and supressing the effects of reverberation. Although I've been working in this field for several years, I'm always amazed that new research questions bubble to the surface, requring new ideas and, eventually, signal processing algorithms to address them.

My most recent research project explores how robot audition can be enhanced using the techniques of acoustic signal processing so as to improve human-robot interactions.

 

More details of my teams research work can be found at:

www.ee.ic.ac.uk/sap

Selected Publications

Journal Articles

Xue W, Moore A, Brookes D, et al., 2020, Speech enhancement based on modulation-domain parametric multichannel Kalman filtering, IEEE Transactions on Audio Speech and Language Processing, Vol:29, ISSN:1558-7916, Pages:393-405

Evers C, Naylor PA, 2018, Optimized self-localization for SLAM in dynamic scenes using probability hypothesis density filters, IEEE Transactions on Signal Processing, Vol:66, ISSN:1053-587X, Pages:863-878

Antonello N, De Sena E, Moonen M, et al., 2017, Room Impulse Response Interpolation Using a Sparse Spatio-Temporal Representation of the Sound Field, Ieee/acm Transactions on Audio Speech and Language Processing, Vol:25, ISSN:2329-9290, Pages:1929-1941

Hafezi S, Moore AH, Naylor PATRICK, 2017, Augmented Intensity Vectors for Direction of Arrival Estimation in the Spherical Harmonic Domain, IEEE Transactions on Audio Speech and Language Processing, Vol:25, ISSN:1558-7916, Pages:1956-1968

Doire CSJ, Brookes DM, Naylor PA, 2017, Robust and efficient Bayesian adaptive psychometric function estimation, Journal of the Acoustical Society of America, Vol:141, ISSN:0001-4966, Pages:2501-2512

Doire CSJ, Brookes DM, Naylor PA, et al., 2017, Single-channel online enhancement of speech corrupted by reverberation and noise, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:25, ISSN:2329-9290, Pages:572-587

Moore AH, Evers C, Naylor PA, 2016, Direction of Arrival Estimation in the Spherical Harmonic Domain using Subspace Pseudo-Intensity Vectors, Ieee/acm Transactions on Audio, Speech, and Language Processing, Vol:25, ISSN:2329-9290, Pages:178-192

Eaton DJ, Gaubitch ND, Moore AH, et al., 2016, Estimation of room acoustic parameters: the ACE challenge, Ieee Transactions on Audio Speech and Language Processing, Vol:24, ISSN:2329-9290, Pages:1681-1693

Parada PP, Sharma D, Lainez J, et al., 2016, A single-channel non-intrusive C50 estimator correlated with speech recognition performance, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:24, ISSN:2329-9304, Pages:719-732

Parada PP, Sharma D, Naylor PA, et al., 2015, Reverberant speech recognition exploiting clarity index estimation, Eurasip Journal on Advances in Signal Processing, Vol:2016, ISSN:1687-6180, Pages:1-12

Lim F, Zhang W, Habets EAP, et al., 2014, Robust multichannel dereverberation using relaxed multichannel least squares, IEEE Transactions on Audio Speech and Language Processing, Vol:22, ISSN:1558-7916, Pages:1379-1390

Kowalczyk K, Habets EAP, Kellermann W, et al., 2013, Blind System Identification Using Sparse Learning for TDOA Estimation of Room Reflections, IEEE Signal Processing Letters, Vol:20, ISSN:1070-9908, Pages:653-656

Habets EAP, Benesty J, Naylor PA, 2012, Speech Distortion and Interference Rejection Constraint Beamformer, Ieee Trans. Audio Speech Language Proc., Vol:20, Pages:854-867

Books

Jarrett DP, Habets EAP, Naylor PA, 2017, Theory and Applications of Spherical Microphone Array Processing Introduction, SPRINGER-VERLAG BERLIN, ISBN:978-3-319-42209-1

Naylor PA, Gaubitch ND, 2010, Speech Dereverberation, Springer, ISBN:978-1-84996-056-4

More Publications