Find Academic Supervisors

• Speech Signal Processing
• Machine Learning
• Noise Reduction
• +3 more

Ziye Yang is a researcher active in Speech Signal Processing and Machine Learning applications. His work focuses on advanced techniques like weighted prediction error , deep learning models , and noise reduction in audio systems. He has collaborated extensively with Jie Chen and Cédric Richard on topics including speech dereverberation and nonlinear residual echo suppression . His research spans multiple subfields including distributed speech processing , attention-based architectures , and deconvolution regularization . Recent publications (2024-2025) emphasize hybrid methods combining traditional signal processing with modern neural networks, particularly for reverberation modeling and echo suppression. Key trends in his work include Integration of data-driven priors in signal enhancement Development of plug-and-play frameworks for audio processing Application of attention mechanisms in dual-stream networks

Bruce DENBYView profile

Professor

• Speech Processing
• Silent Speech Interfaces
• Telecommunications
• +4 more

Bruce DENBY is a Professor at Sorbonne University specializing in speech processing, telecommunications, and indoor localization. His research spans multiple disciplines including computer science, physics, and environmental science with significant contributions across these fields. His primary research interests include: Silent Speech Interfaces and speech restoration technologies Indoor localization using wireless networks and GSM fingerprints Telecommunications and signal processing Environmental modeling of road dust and air pollution Machine learning applications in speech recognition Dr. DENBY's research trajectory shows evolution from early work in high energy physics to speech processing and wireless communications, with recent publications (2022-2025) demonstrating continued innovation in WiFi analytics, client density mapping, and future speech interfaces. His work increasingly integrates deep learning techniques while maintaining focus on practical applications, particularly for speech restoration and privacy-preserving network analysis. Notable scientific achievements: Chester Sall Award Paper (2012) for work on FPGA-based FM broadcast receivers Significant contributions to the Silent Speech Challenge benchmark with deep learning approaches Development of the NORTRIP model for road dust emissions Highly cited work on Silent Speech Interfaces (over 500 citations) Dr. DENBY has secured research funding across multiple domains, collaborating with institutions across Europe. His work demonstrates strong interdisciplinary connections between speech technology, wireless communications, and environmental science, with applications ranging from assistive technologies to urban air quality management.

Johannes RegnierView profile

Lecturer

• Electronic Music
• Computer Music
• Digital Signal Processing
• +4 more

Johannes Regnier is a Lecturer at the Central Institute for Continuing Education and Transfer at Berlin University of the Arts (UDK Berlin). He also serves as a Computer Music Designer at IRCAM (Institute for Research and Coordination in Acoustics/Music) and as a research associate at Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, HHI, Vision and Imaging Technologies department. His educational background includes: MA in Sound Studies from the UDK Berlin Ph.D. in Computer Music from the University of California, San Diego Regnier specializes in electronic and computer music techniques, with research interests spanning digital signal processing, sound synthesis, spatial audio, and Wave Field Synthesis. His work bridges the gap between artistic expression and technological innovation, focusing on creating immersive sonic experiences through advanced audio processing techniques. He has developed expertise in live electronics and spatialization, enabling performers to engage with sound in three-dimensional space. His recent creative output shows a consistent focus on interdisciplinary collaborations, particularly at the intersection of music, theater, dance, and visual arts. Regnier's technical expertise in computer music design has been applied across diverse performance contexts, from solo instrumental works to large-scale multimedia productions and film. His spatial audio techniques have become a signature element across his portfolio. Regnier has been actively involved in numerous significant artistic collaborations, working with renowned institutions like IRCAM and contributing to major productions across Europe. His technical expertise has supported performances of works by prominent composers including Pierre Boulez, Roger Reynolds, and Fausto Romitelli. His work spans both academic research and professional artistic production, with strong connections to the Berlin arts scene and international collaborations. Regnier maintains an active presence in both the European and American new music communities, contributing to the advancement of computer music techniques through practical application in performance contexts.

Rafael PatrickView profile

Assistant Professor

• Human Factors Engineering
• Applied Psychophysics
• Auditory Situation Awareness
• +5 more

Rafael Patrick is an Assistant Professor in the Department of Industrial and Systems Engineering at Virginia Polytechnic Institute and State University (Virginia Tech), part of the College of Engineering. His research focuses on human factors psychology, auditory situation awareness, and user-centered design with applications in transportation systems, virtual reality, and wearable technology. He holds a Ph.D. in Industrial & Systems Engineering from North Carolina A&T State University (2018), an M.S. in Human Factors and Systems from Embry-Riddle Aeronautical University (2012), and a B.S. in Human Factors Psychology from the same institution (2008). Dr. Patrick’s professional history includes roles as a graduate research assistant at North Carolina A&T’s Transportation Institute and research supervisor at Embry-Riddle’s McNair Scholars Program. He teaches courses such as Discrete Event Systems Modeling & Simulation and Occupational Biomechanics & Ergonomics. His work has been recognized through awards including the McNair Program’s Outstanding Alumnus Mentor Award and Title III Dissertation Fellow designation. His research trends emphasize improving safety through auditory interface design, with recent studies examining bone conduction technology in VR environments and pedestrian-vehicle communication systems. Collaborations include developing the TESSERACT loudspeaker array for spatial sonification and investigating distractions at campus crosswalks. Professional affiliations include the Human Factors and Ergonomics Society (HFES) and Institute of Industrial and Systems Engineers (IISE). Education: Ph.D., Industrial & Systems Engineering, North Carolina A&T State University (2018) M.S., Human Factors and Systems, Embry-Riddle Aeronautical University (2012) B.S., Human Factors Psychology, Embry-Riddle Aeronautical University (2008) Awards: Dr. Ronald E. McNair Scholars Program: Outstanding Alumnus Mentor Award NC A&T Title III Dissertation Fellow NC A&T ISE Department Awards: Humanitarian, Research, & Teaching Labs/Teams: Engages in interdisciplinary projects involving virtual reality safety systems and wearable auditory interfaces through Virginia Tech’s College of Engineering initiatives.

Matt LewisView profile

Lecturer

• Sound Art
• Critical Sound Practice
• Social-Space Relationships
• +6 more

Matt Lewis is a sound artist and musician at the Royal College of Art's School of Communication, where he focuses on the relationships between sound and the social. His work explores social-space dynamics through sound and acoustic design, addressing issues such as regeneration, inclusivity, and noise pollution. His research interests include critical sound practice, spatial audio, and the social implications of sound design. Lewis employs leading-edge technology with participatory strategies to create performances, installations, and interventions that challenge conventional approaches to sound in public spaces. His work often involves community collaboration and examines how sound can confront social issues rather than merely representing them. His recent projects include "The Branded Soundscape," which investigates the influence of synthetic sounds like Electronic Alert Tones and Audio Branding on human behavior, and "South East Future Sounds," a collaboration with Call & Response and Anderson Acoustics resulting in a national touring immersive sound installation. Arts Council England Funding (2011, 2013, 2016, 2017, 2018) Artist in Residence, Metal Culture (2016-2018) Cocheme Fellowship, Central St Martins (2012-2013) Artist in Residence, Artist Links Brazil (2008) Lewis founded Call & Response, one of Europe's only independent sound spaces and a 3D spatial audio research unit. He has supervised research students including Amina Abbas-Nazari and has collaborated with institutions such as Resonance FM, VOID, and deafblind charity Sense.

• Signal Processing
• Machine Learning
• Acoustics
• +5 more

Roland Badeau is a Full Professor at Télécom Paris (part of Institut Polytechnique de Paris) within the Signal, Statistics and Learning (S2A) team of the Image, Data, Signal (IDS) Department. His work focuses on statistical modeling of non-stationary signals, particularly in audio and music processing, with applications including source separation, denoising, dereverberation, and automatic music transcription. He has authored over 30 journal papers, 130 conference papers, 4 patents, and a book chapter. Education : Habilitation à Diriger des Recherches (2010), PhD in Signal Processing (2005) from Télécom Paris Research Themes : Stochastic reverberation models, time-frequency analysis, probabilistic latent variable models, audio coding, and biomedical data applications Teaching : Applied Mathematics and Signal Processing at Télécom Paris; Music Signal Processing at Sorbonne Université; Audio-Frequency Analysis at ENS Paris-Saclay Awards : Featured in Stanford's Top 2% Researchers (2024); contributed to a best student paper award at ICASSP 2020 Responsibilities : Supervision of doctoral theses, teaching units, and academic programs like TSIA and Master ATIAM

• Audiology
• Hearing Science
• Speech Perception
• +3 more

Joshua Alexander is Associate Professor in Speech Language and Hearing Sciences at Purdue University. His research focuses on hearing aid technology, speech perception mechanisms, and auditory rehabilitation. Key areas include frequency compression algorithms, music quality enhancement in hearing devices, and neural coding of auditory signals in hearing impairment. Recent work develops novel diagnostic methods like the PHIG technique for feedback quantification and investigates tonotopic distortions in sensorineural hearing loss. His lab also explores open-source hearing aid platforms and ear monitoring systems using speakers as sensors.

• Spatial Audio
• Multimodal Perception
• Auditory Display
• +2 more

Peter Lennox is a Senior Lecturer in Performance at the University of Derby's School of Arts. His research explores spatial audio, multimodal perception, and embodied cognition through innovative sound technologies. Research focuses on tissue-conducted sound fields, perceptual augmentation, and spatial music composition. His work bridges auditory display, cognitive mapping, and sensory substitution for immersive experiences. Publications demonstrate strong emphasis on auditory-tactile integration, spatial sound perception, and creative pedagogy. Recent projects investigate sensory augmentation techniques for artistic expression and educational innovation. Achievements include Higher Education Academy Fellowship. His research has received international recognition in audio engineering and perceptual studies communities.

Rajmil FischmanView profile

Professor

• Electroacoustic Composition
• Sonic Arts
• Music Technology
• +3 more

Professor Rajmil Fischman is a composer and researcher at Keele University's School of Humanities, where he founded the Digital Music Technology MA/MSc programs. His work integrates composition, sonic arts theory, and software development to create structured interactive musical experiences using gestures, spatialization, and real-time control systems. Research focuses on: Interactive immersive music systems Gesture-controlled composition Multi-channel spatial audio Algorithmic composition tools He develops open-source software including AL (algorithmic composition), MAES (gesture control), and Clouds (granular synthesis).

Andrew Knight-HillView profile

Professor

• Electroacoustic Music
• Audiovisual Composition
• Sound Studies
• +6 more

Andrew Knight-Hill is a Professor of Music and Sound Arts at the University of Greenwich, affiliated with the School of Design and Creative Industries and the Faculty of Law, Arts and Social Sciences . He is the lead of the SOUND/IMAGE Research Centre, director of the Shared Hub for Immersive Future Technologies (SHIFT), and co-director of the Loudspeaker Orchestra Concert Series. Education: PhD in Electroacoustic Audio-visual Music from De Montfort University (2013). His research focuses on electroacoustic music, audiovisual composition, and immersive soundscapes, with a particular interest in how everyday sounds and materials are interpreted by audiences. He explores the interplay between reality and virtuality through studio-composed acousmatic and audio-visual works. The articles and publications span 2008–2021, covering topics like spatial audiovisual composition , sound studies , film sound diegesis , and practice-based research methodologies . His work often intersects heritage, technology, and sensory perception. Scientific Awards: AHRC Leadership Fellowship (2021–2022) AHRC New Generation Thinkers 2020 Semi-Finalist He has contributed to BBC Radio 3 and Radio 4 programs, and his compositions have been performed at major international festivals. Collaborations include institutions like L Acoustics, NOTAM, and the New York Public Library.

Zach LaytonView profile

Assistant Professor

• Music Composition
• Electroacoustic Music
• Experimental Music
• +3 more

Zach Layton is an Assistant Professor of Music Production at Ramapo College of New Jersey since 2017, affiliated with the School of Contemporary Arts. His roles include teaching courses such as Music Production Technology, Recording Arts, and Electronic and Computer Music. He holds a Ph.D. from Rensselaer Polytechnic Institute, M.F.A. from Bard College, and additional degrees from NYU and Oberlin Conservatory. Research interests span electroacoustic composition, spectral music, and visual music, with a focus on interdisciplinary projects blending sound, technology, and performance. Notable works include orchestral pieces like expanded field and installations at venues like EMPAC and the Guggenheim. Layton has received prestigious awards including the MacDowell Fellowship and Foundation for Contemporary Arts grant. Advising and grants include collaborations with institutions like the Guggenheim and MoMA/PS1. His curatorial work includes founding Darmstadt: Classics of the Avant Garde and curating at ISSUE Project Room. Layton’s creative output spans albums on Bandcamp and visual art series like photograms and Sonic X-Ray prints.

Andrea CavallaroView profile

Professor

• Machine Learning
• Computer Vision
• Audio Processing
• +4 more

Andrea Cavallaro is a Full Professor and Director of the Centre for Intelligent Sensing at Queen Mary University of London (QMUL), a Russell Group university. He also serves as Editor-in-Chief of Signal Processing: Image Communication and a Fellow of the International Association for Pattern Recognition (IAPR) and the Higher Education Academy. His roles include Director of Research for the School of Electronic Engineering and Computer Science. Education: Received a Ph.D. in Electrical Engineering from the École polytechnique fédérale de Lausanne (EPFL) in 2002. Prior roles include Research Fellow at British Telecommunications (BT) and multiple editorial roles across IEEE journals. Research Interests: Focus on machine learning for multimodal perception, computer vision, audio processing, robot perception, and privacy in multimedia systems. He leads projects like CORSMAL (Collaborative Object Recognition, Shared Manipulation, and Learning) and GraphNEx (Graph Neural Networks for Explainable AI). Notable Contributions: Over 270 journal/conference papers, one monograph on video tracking (Wiley, 2011), and three edited books. Awards include the Royal Academy of Engineering Teaching Prize (2007), IEEE AVSS Best Paper Award (2009), and Turing Fellowship (2018). Labs & Affiliations: Leads the Centre for Intelligent Sensing and contributes to the Centre for Multimodal AI. Active in IEEE technical committees and international research collaborations.

Aidan HoggView profile

Lecturer

• Spatial Acoustics
• Immersive Audio
• Deep Learning
• +3 more

Aidan Hogg is a Lecturer in Computer Science at Queen Mary University of London (QMUL), affiliated with the Centre for Digital Music (C4DM) and the School of Electronic Engineering and Computer Science. He holds a PhD and is an Honorary Research Associate at Imperial College London. His research focuses on deep learning applications for spatial acoustics, immersive audio, and statistical signal processing in audio systems. Key interests include HRTF upsampling, speaker diarization, and binaural audio technologies. He holds qualifications including PhD, DIC, MEng, ACGI, and AFHEA. His work bridges theoretical advancements with practical applications in virtual and augmented reality audio, with notable contributions to the SONICOM HRTF dataset and GAN-based spatial audio rendering techniques. He teaches advanced control systems (ECS654U) and leads the Virtual, Immersive, Augmented and Binaural Audio Lab (VIABAL). Recent grants include £65,621 from L-ACOUSTICS UK LIMITED for 'Online Speech Enhancement in Low Direct-to-Reverberant-Ratio Scenarios' (2024–2025). His research outputs span over 15 peer-reviewed articles between 2019–2025, emphasizing machine learning for audio signal processing and multimodal AI integration. Aidan collaborates widely, hosting international institutions such as the Central Conservatory of Music, China, and presents at major conferences like IEEE WASPAA and ICASSP. His lab focuses on advancing immersive audio technologies through interdisciplinary approaches.

Søren BechView profile

Professor

• Acoustics
• Audio Engineering
• Sound Zones
• +4 more

Søren Bech is a Professor at the Department of Electronic Systems within The Technical Faculty of IT and Design at Aalborg University. His academic qualifications include a PhD from the Technical University of Denmark (1988) and an MSc in Electrical Engineering (1982). His primary research focuses on audio quality, acoustics, and sound zone technologies, with emphasis on perceptual audio evaluation, spatial audio systems, and cortical auditory attention decoding. He leads projects such as ISOBEL (Interactive Sound Zones) and SOUNDS (Service-Oriented, Ubiquitous, Network-Driven Sound), addressing challenges in dynamic audio environments and networked audio systems. Key research areas include automotive audio systems, headphone technology, and the integration of EEG-based attention decoding for personalized sound experiences. He has received recognition, including the Best Student Paper award in 2024. Collaborations span academia and industry, with involvement in organizations like the Danish Sound Cluster and Danmarks Forsknings- og Innovationspolitiske Råd. His work bridges theoretical acoustics with practical applications in consumer electronics and immersive media.

Jesper JensenView profile

Professor

• Acoustic Signal Processing
• Machine Learning
• Speech Enhancement
• +5 more

Jesper Jensen is a Professor at the Department of Electronic Systems, part of The Technical Faculty of IT and Design at Aalborg University. His research focuses on acoustic signal processing, machine learning, and speech enhancement, with particular expertise in applications like hearing aids, noise reduction algorithms, and deep learning architectures for audio systems. He serves as a project supervisor at institutions including Oticon A/S since 2007, and co-leads the CASPR (Centre for Acoustic Signal Processing Research) center. Key research interests include multichannel signal processing, robust speech enhancement in reverberant environments, and adaptive filtering techniques. His work integrates Bayesian methods, deep neural networks (DNNs), and sparse modeling to address challenges in audio localization, speech presence probability estimation, and sound zone control systems. Notable Achievements: Recipient of the prestigious 'Stor international pris' award in 2017 Over 135 publications in journals like IEEE Signal Processing Letters and conference proceedings Active collaborations with industry partners such as Oticon A/S His research outputs emphasize practical applications, including voice control systems for hearing aids, binaural speech enhancement in noisy environments, and acoustic reflector localization for robotics. Recent work explores transformer networks and learning-based frameworks for real-time audio processing.