Imperial College London

Dr Patrick A. Naylor

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Speech & Audio 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

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 PA, 2017, Augmented Intensity Vectors for Direction of Arrival Estimation in the Spherical Harmonic Domain, Ieee-acm Transactions on Audio Speech and Language Processing, Vol:25, ISSN:2329-9290, Pages:1956-1968

Doire CSJ, Brookes M, 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

Moore AH, Evers C, Naylor PA, 2017, Direction of Arrival Estimation in the Spherical Harmonic Domain Using Subspace Pseudointensity Vectors, Ieee-acm Transactions on Audio Speech and Language Processing, Vol:25, ISSN:2329-9290, Pages:178-192

Eaton J, Gaubitch ND, Moore AH, et al., 2016, Estimation of Room Acoustic Parameters: The ACE Challenge, Ieee-acm 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:2329-9290, 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, ISSN:1687-6180, Pages:1-12

Habets EAP, Benesty J, Naylor PA, 2012, A Speech Distortion and Interference Rejection Constraint Beamformer, IEEE Transactions on Audio Speech and Language Processing, Vol:20, ISSN:1558-7916, Pages:854-867

Thomas MRP, Gudnason J, Naylor PA, 2012, Estimation of Glottal Closing and Opening Instants in Voiced Speech Using the YAGA Algorithm, IEEE Transactions on Audio Speech and Language Processing, Vol:20, ISSN:1558-7916, Pages:82-91

Books

Jarrett DP, Habets EAP, Naylor PA, 2016, Theory and Applications of Spherical Microphone Array Processing, Springer, ISBN:9783319422114

More Publications