Summary
Mike Brookes is a Senior Research Investigator in the Communications and Signal Processing group. After gaining a Mathematics degree from Cambridge, he spent four years at MIT and, later, the University of Hawaii working on the development of telescope systems and astronomical instrumentation. In 1975 he returned to the UK and joined the EEE Dept at Imperial College.
Mike's current research focuses on speech processing with an emphasis on hearing aid applications. He participates in the SOUNDS European Training Network which encompasses four universities along with eight non-academic partners and which aims to exploit network-enabled cooperation between audio devices. He is also part of the ELOSPHERES project which, in collaboration with the Dept of Speech Hearing and Phonetic Sciences, aims to maximise the intelligibility of speech to a hearing aid user in a particular acoustic environment. Between 2007 and 2012, he was the Director of the Home Office sponsored Centre for Law Enforcement Audio Research (CLEAR) which investigated techniques for processing heavily corrupted speech signals.
Mike is not currently recruiting new postgraduate research students.
For more information see http://www.ee.ic.ac.uk/hp/staff/dmb/dmb.html
Selected Publications
Journal Articles
Moore A, Xue W, Naylor P, et al., 2019, Noise covariance matrix estimation for rotating microphone arrays, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:27, ISSN:2329-9290, Pages:519-530
Wang Y, Brookes DM, 2017, Model-Based Speech Enhancement in the Modulation Domain, Ieee/acm Transactions on Audio, Speech and Language Processing, Vol:26, ISSN:2329-9304, Pages:580-594
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
Gilliam C, Dragotti P-L, Brookes M, 2014, On the Spectrum of the Plenoptic Function, IEEE Transactions on Image Processing, Vol:23, ISSN:1057-7149, Pages:502-516
Hilkhuysen G, Gaubitch N, Brookes M, et al., 2014, Effects of noise suppression on intelligibility. II: An attempt to validate physical metrics, Journal of the Acoustical Society of America, Vol:135, ISSN:0001-4966, Pages:439-450
Gaubitch N, Brookes M, Naylor P, 2013, Blind Channel Magnitude Response Estimation in Speech using Spectrum Classification, IEEE Transactions on Audio Speech and Language Processing, Vol:21, ISSN:1558-7916, Pages:2162-2171
Pearson J, Brookes M, Dragotti P-L, 2013, Plenoptic layer-based modelling for image based rendering, IEEE Transactions on Image Processing, Vol:22, ISSN:1057-7149, Pages:3405-3419
Hilkhuysen G, Gaubitch N, Brookes M, et al., 2012, Effects of noise suppression on intelligibility: dependency on signal-to-noise ratios, Journal of the Acoustical Society of America, Vol:131, Pages:531-539
Bouganis C-S, Brookes M, 2007, Statistical Multiple Light Source Detection, Iet Computer Vision, Vol:1, Pages:79-91
Naylor, P A, Kounoudes, et al., 2007, Estimation of glottal closure instants in voiced speech using the DYPSA algorithm, IEEE Transactions on Audio Speech and Language Processing, Vol:15, ISSN:1558-7916, Pages:34-43
Brookes, M., Naylor, P.A., Gudnason, J., 2006, A quantitative assessment of group delay methods for identifying glottal closures in voiced speech, IEEE Transactions on Audio Speech and Language Processing, Vol:14, ISSN:1558-7916, Pages:456-466