Professor
Guy
Brown
BSc(Hons), PhD, MEd
School of Computer Science
Professor of Computer Science
Member of the Speech and Hearing (SpandH) research group
g.j.brown@sheffield.ac.uk
Regent Court (CS)
Full contact details
Professor Guy Brown
School of Computer Science
Regent Court (CS)
School of Computer Science
Regent Court (CS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Professor Brown's main research interest is machine hearing, which aims to build computer systems that mimic the ability of human listeners to understand sound. A particular interest is in the use of acoustic monitoring for screening for sleep disorders such as obstructive sleep apnoea.
He also has interests in models of auditory function, spatial hearing and music technology.
He is the co-editor (with DeLiang Wang) of Computational auditory scene analysis: Principles, Algorithms, and Applications (IEEE Press/Wiley-Interscience).
- Research interests
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Professor Brown's main research interest is Computational Auditory Scene Analysis (CASA), which aims to build machine systems that mimic the ability of human listeners to segregate complex mixtures of sound.
He also has interests in noise-robust and reverberation-robust automatic speech recognition, models of auditory function in normal and impaired hearing, binaural modelling and the phonetics of overlapping speech. A recent interest is the application of CASA technology in mobile robot platforms.
He is the co-editor (with DeLiang Wang) of Computational auditory scene analysis: Principles, Algorithms, and Applications (IEEE Press/Wiley-Interscience).
- Publications
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Show: Featured publications All publications
Featured publications
Journal articles
- Acoustic screening for obstructive sleep apnea in home environments based on deep neural networks. IEEE Journal of Biomedical and Health Informatics, 26(7), 2941-2950.
- Robust binaural localization of a target sound source by combining spectral source models and deep neural networks. IEEE/ACM Transactions on Audio, Speech and Language Processing, 26(11), 2122-2131. View this article in WRRO
- Exploiting Deep Neural Networks and Head Movements for Robust Binaural Localisation of Multiple Sources in Reverberant Environments. IEEE Transactions on Audio, Speech, and Language Processing, 25(12), 2444-2453. View this article in WRRO
- Mask estimation and imputation methods for missing data speech recognition in a multisource reverberant environment. Computer Speech and Language.
- A computational model of binaural speech recognition: Role of across-frequency vs. within-frequency processing and internal noise. Speech Communication, 53(6), 924-940.
- A computer model of auditory efferent suppression: implications for the recognition of speech in noise.. J Acoust Soc Am, 127(2), 943-954.
- Resources for turn competition in overlapping talk. Speech Communication, 55(5), 721-743.
Book chapters
- Reflexive and Reflective Auditory Feedback, Modern Acoustics and Signal Processing (pp. 3-31). Springer International Publishing
Conference proceedings
- SLUMBR: SLeep statUs estiMation from aBdominal Respiratory effort. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Orlando, Florida, 15 July 2024 - 15 July 2024. View this article in WRRO
- Acoustic effects of facial feminisation surgery on speech and singing: A case study. Proceedings of Interspeech 2024 (pp 3065-3069). Kos island, Greece, 1 September 2024 - 1 September 2024. View this article in WRRO
- Obstructive sleep apnea screening with breathing sounds and respiratory effort: a multimodal deep learning approach. Interspeech 2023 Proceedings (pp 5451-5455). Dublin, Ireland, 20 August 2023 - 20 August 2023. View this article in WRRO
- Robust binaural sound localisation with temporal attention. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Proceedings. Rhodes Island, Greece, 4 June 2023 - 4 June 2023. View this article in WRRO
- Snorer diarisation based on deep neural network embeddings. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Barcelona, Spain, 4 May 2020 - 8 May 2020.
- Improving random GUI testing with image-based widget detection. ISSTA 2019 Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis (pp 307-317). Beijing, China, 15 July 2019 - 15 July 2019. View this article in WRRO
- Resources for turn competition in overlap in multi-party conversations: speech rate, pausing and duration.. INTERSPEECH (pp 2550-2553)
- Perceptual compensation for effects of reverberation in speech
identification: A computer model based on auditory efferent processing.. Interspeech 2010. Japan, 26 September 2010 - 30 September 2010.
All publications
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- Acoustic screening for obstructive sleep apnea in home environments based on deep neural networks. IEEE Journal of Biomedical and Health Informatics, 26(7), 2941-2950.
- Grants
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- Home Monitoring of Paediatric Sleep Disordered Breathing with Unobtrusive Sensors, Medical Research Council, 05/2024 - 05/2026, £62,871, as Co-I
- SafeSleep: Home-Based AI Screening for Obstructive Sleep Apnoea in High-Risk Surgical Patients, National Institute of Academic Anaesthesia, 12/2025 - 05/2027, £33,579, as Co-I
- Advance Acoustic AI Technology for Low-cost Tuberculosis Screening, EPSRC IAA programme, 04/2024 - 09/2025, £54,803, as Co-I
- Evaluating Robotic Interventions in STEM Education (ERISE) Year 2, Research England, 04/2024 - 02/2025, as Co-I
- Teaching computer science and music through live coding, Research England, 07/2023 - 02/2024, £50,642, as Co-I
- Educational Interventions in Robotics - Year 1, internal funding, 02/2023 - 04/2024, as Co-I
- SOMNUS: Sleep disOrder MoNitoring by Unobtrusive Sensors, Innovate UK, 07/2021 - 11/2023, £120,228, as PI
- Monitoring sleep disordered breathing of long-Covid patients at home using acoustic AI Technology, Research England, 01/2022 - 07/2022, £71,222, as Co-I
- Making Elektra, Research England, 02/2021 - 04/2021, £6,236, as PI
- Brahms: Breathing Resistance Assessment via Home Monitoring of Sleep, Innovate UK, 06/2019 - 02/2021, £109,600, as PI
- MAI: Musical Artificial Intelligence, HEFCE, 02/2019 - 05/2020, £53,408, as PI
- Insitute of Coding, HEFCE, 11/2017 - 03/2020, £957,000, as Co-I
- Studentship, Passion 4 Life, 10/2017 - 09/2020, as PI
- Passion for Life, InnovateUK, 04/2015 - 06/2017, £149,280, as PI
- Meeting the challenge of simultaneous talk for cochlear implant users, AHRC, 03/2014 - 03/2015, £69,339, as Co-I
- Two!Ears, EC - FP7, 12/2013 - 11/2016, £267,134, as PI
- Automatic Testing of Natural User Interfaces, Microsoft Research Ltd., 06/2013 - 12/2017, £15,625, as Co-I
- A computational model of speech recognition in hearing impaired listeners based on missing feature theory, RNID, 10/2007 - 09/2010, £68,951, as PI
- Phonetic design of overlapping speech in talk-in-interaction: A cross-linguistic study, AHRC, 01/2009 - 06/2012, £169,652, as Co-I
- Perceptual constancy in real-room listening by humans and machines, EPSRC, 10/2008 - 04/2012, £121,515, as PI
- S2S: Sound to Sense, EC FP6, 05/2007 - 04/2011, £168,923, as PI
- Studentship, QINETIQ, 10/2004 - 09/2007, £38,427, as PI
- Studentship, Defence and Science Technology Laboratory, 10/2000 - 09/2003, £4,200, as PI
- Professional activities and memberships
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- Member of the Speech and Hearing research group
- Recipient of a University of Sheffield Senate Award for Sustained Excellence in Learning and Teaching, 2014.
- Recipient (with Dr Gordon Fraser) of a Microsoft Software Engineering Innovation Foundation Award in 2013.
- Guest editor of the IEEE Transactions on Audio, Speech and Language Processing special issue on blind signal processing for speech and audio applications, 2007.