Dr Dave Moffat
Profiles

Dr Dave Moffat

Research Assistant in Audio Signal Processing and AI

Faculty of Arts, Humanities and Business

David Moffat is a lecturer in Sound and Music Computing. He is also a collaborator on the RadioMe project. His research focuses is on intelligent and assistive mixing and audio production tools through the implementation of semantic tools and machine learning.He previously worked as a postdoc within the Audio Engineering Group of the Centre for Digital Music at Queen Mary University London. His PhD, from Queen Mary University London, focused on sound effect synthesis and evaluation. He has since developed new methods and approaches for sound synthesis, from this understanding of the field. He received an MSc in Digital Music Processing from Queen Mary University of London, and a BSc in Artificial Intelligence and Computer Science from University of Edinburgh.

Qualifications

PhD in Computer Science and Audio, Queen Mary University of London.

Diploma in Researcher Development, Queen Mary University of London.

MSc (Dist.) in Digital Signal Processing, Queen Mary University of London.

BSc(Hons.) in Artificial Intelligence and Computer Science, University of Edinburgh.

Roles on external bodies

Digital Audio Effects Conference Paper Chair - September 2019
ACM Audio Mostly Conference Committee Member - August 2017
Chair, Audio Engineering Society (AES) Student Delegate Assembly (Europe and International) - June 2016 - May 2017
Vice Chair, AES Student Delegate Assembly - May 2015 - June 2016
Conference Committee, AES 61st Conference, Audio for Games - February 2016
AES Education Committee Member - May 2015 - Present
Member of the IEEE
Member of The Audio Engineering Society (AES)

Guest Editor for Audio Engineering Society Special Issue - Intelligent and Semantic Music Production - Guest Editor
Reviewer for AHRC (Arts and Humanities Research Council)
Reviewer for MDPI Electronics
Reviewer for Leonardo Journal
Reviewer for IEEE Transactions on Audio, Speech and Language
Reviewer for Web Audio Conference
Reviewer for International Conference on Digital Audio Effects
Reviewer for Audio Engineering Society Convention
Reviewer for Audio Mostly Conference
Reviewer for Computer Music Multidisciplinary Research Conference

Research interests

My research interests include audio production technology, artificial intelligence, real time and live mixing tools and DSP, machine learning and deep learning, sound synthesis, procedural audio, music information retrieval (MIR), source separation, audio engineering technology, genetic algorithms, audio effects and real time analysis and manipulation of audio. Perceptive, qualitative and objective measures and metrics for the evaluation of audio technologies.

Key publications

Key publications are highlighted

Journals
Articles
Wilmering T, Moffat D, Milo A & Sandler MB 2020 'A History of Audio Effects' Applied Sciences 10, (3) Publisher Site , DOI PEARL
Moffat D & Sandler MB 2019 'Approaches in Intelligent Music Production' Arts 8, (4) , DOI PEARL
Selfridge R, Moffat D, Avital EJ & Reiss JD 2018 'Creating Real-Time Aeroacoustic Sound Effects Using Physically Derived Models' Journal of the Audio Engineering Society 66, 594-607 , DOI
Moffat D & Reiss JD 2018 'Perceptual Evaluation of Synthesized Sound Effects' ACM Transactions on Applied Perception (TAP) 15, (2) 19-19 , DOI
Selfridge R, Moffat D & Reiss JD 2017 'Sound Synthesis of Objects Swinging Through Air Using Physical Models' Applied Sciences 7, (11) , DOI
Turchet L, Moffat D, Tajadura-Jiménez A, Reiss JD & Stockman T 2016 'What do your footsteps sound like? An investigation on interactive footstep sounds adjustment' Applied Acoustics 111, 77-85 , DOI
Martinez Ramirez M, Moffat D & Stoller D 0 'A Deep Learning Approach to Intelligent Drum Mixing with the Wave-U-Net' Journal of the Audio Engineering Society , DOI PEARL
Lefford MN, Bromham G, Fazekas G & Moffat D 0 'Context Aware Intelligent Mixing Systems' Journal of the Audio Engineering Society PEARL
Chapters
Moffat D, Selfridge R & Reiss JD 2019 'Sound Effect Synthesis' in Filimowicz M Foundations in Sound Design for Interactive Media: A Multidisciplinary Approach Routledge
Conference Papers
Lefford MN, Bromham G & Moffat D 2020 'Mixing with Intelligent Mixing Systems: Evolving Practices and Lessons from Computer Assisted Design' 148 Convention of the Audio Engineering Society Publisher Site PEARL
Venkatesh S, Moffat D & Miranda ER 2019 'RadioMe: Artificially Intelligent Radio for People with Dementia' Digital Music Research Network One-day Workshop: DMRN+14 PEARL
Moffat D & Sandler MB 2019 'An Automated Approach to the Application of Reverberation' Audio Engineering Society Convention 147 New York, USA , DOI
Moffat D & Sandler MB 2019 'Machine Learning Multitrack Gain Mixing of Drums' Audio Engineering Society Convention 147 New York, USA , DOI
Bromham G, Moffat D, Barthet M, Danielsen A & Fazekas G 2019 'The Impact of Audio Effects Processing on the Perception of Brightness and Warmth' ACM Audio Mostly Conference ACM Nottingham, UK , DOI
Moffat D & Sandler MB 2019 'Automatic Mixing Level Balancing Enhanced through Source Interference Identification Automatic Mixing Level Balancing Enhanced through Source Interference Identification' Audio Engineering Society Convention 146 Dublin, Ireland , DOI
Moffat D & Sandler MB 2018 'Adaptive Ballistics Control of Dynamic Range Compression for Percussive Tracks' Audio Engineering Society Convention 145 New York, USA
Bromham G, Moffat D, Fazekas G, Barthet M & Sandler MB 2018 'The impact of compressor ballistics on the perceived style of music' Audio Engineering Society Convention 145 New York, USA
Moffat D & Reiss JD 2018 'Objective Evaluations of Synthesised Environmental Sounds' Proc. 21th International Conference on Digital Audio Effects (DAFx-18) Aveiro, Portugal
Moffat D, Thalmann F & Sandler MB 2018 'Towards a Semantic Web Representation and Application of Audio Mixing Rules' Proceedings of the 4th Workshop on Intelligent Music Production (WIMP) Huddersfield, Uk
Moffat D, Ronan D & Reiss JD 2017 'Unsupervised Taxonomy of Sound Effects' Proc. 20th International Conference on Digital Audio Effects (DAFx-17) DAFx-17 Edinburgh, UK.
Selfridge R, Moffat D & Reiss JD 2017 'Physically Derived Sound Synthesis Model of a Propeller' ACM Audio Mostly Conference London, UK , DOI
Selfridge R, Moffat D, Reiss JD & Avital EJ 2017 'Real-Time Physical Model for an Aeolian Harp' Proc. 24th International Congress on Sound and Vibration London, UK
Selfridge R, Moffat D & Reiss JD 2017 'Real-Time Physical Model for Synthesis of Sword Swing Sounds' Helsinki, Finland
Moffat D & Reiss JD 2016 'Perceptual evaluation of synthesised sound effects' DMRN+11: Digital Music Research Network Workshop London, UK
De Man B, Jillings N, Moffat D, Reiss JD & Stables R 2016 'Subjective comparison of music production practices using the Web Audio Evaluation Tool' 2nd AES Workshop on Intelligent Music Production London, UK
Jillings N, De Man B, Moffat D & Reiss JD 2016 'Web Audio Evaluation Tool: A framework for subjective assessment of audio' Proc. 2nd Web Audio Conference Web Audio Conference
Moffat D & Reiss JD 2016 'Implementation and Assessment of Joint Source Separation and Dereverberation' Proc. Audio Engineering Society Conference: 60th International Conference: DREAMS (Dereverberation and Reverberation of Audio, Music, and Speech) Audio Engineering Society , DOI
Mengual L, Moffat D & Reiss JD 2016 'Modal Synthesis of Weapon Sounds' Proc. Audio Engineering Society Conference: 61st International Conference: Audio for Games Audio Engineering Society
Moffat D, Ronan D & Reiss JD 2015 'An Evaluation of Audio Feature Extraction Toolboxes' Proc. 18th International Conference on Digital Audio Effects (DAFx-15) DAFx-15
Ronan D, Moffat D, Gunes H & Reiss JD 2015 'Automatic Subgrouping of Multitrack Audio' Proc. 18th International Conference on Digital Audio Effects (DAFx-15) DAFx-15
Jillings N, De Man B, Moffat D & Reiss JD 2015 'Web Audio Evaluation Tool: A Browser-Based Listening Test Environment' Proc. Sound and Music Computing 2015 Sound and Music Computing
Patents
0 Generation of Sound Synthesis Models. UK Patent 1718800.4