People
Primary academic staff and fellows
| Name | Project/interests/keywords |
|---|---|
| Dr Mathieu Barthet Senior Lecturer in Digital Media | Music information research, Internet of musical things, Extended reality, New interfaces for musical expression, Semantic audio, Music perception (timbre, emotions), Audience-Performer interaction, Participatory art |
| Dr Emmanouil Benetos Reader in Machine Listening, Turing Fellow | Machine listening, music information retrieval, computational sound scene analysis, machine learning for audio analysis, language models for music and audio, computational musicology |
| Dr Nick Bryan-Kinns Professor of Interaction Design. Visiting Professor of Interaction Design, Hunan University, China. Turing Fellow. | Interaction Design with Audio #IDwA. Interactive Art, Interactive Music, Interactive Sonification. Design, Evaluation. Collaboration, Multi-person Interaction. Cross-Modal Interaction, Tangible Interaction. |
| Prof. Simon Dixon Professor of Computer Science, Deputy Director of C4DM, Director of the AIM CDT, Turing Fellow | Music informatics, music signal processing, artificial intelligence, music cognition; extraction of musical content (e.g. rhythm, harmony, intonation) from audio signals: beat tracking, audio alignment, chord and note transcription, singing intonation; using signal processing approaches, probabilistic models, and deep learning. |
| Dr George Fazekas Senior Lecturer | Semantic Audio, Music Information Retrieval, Semantic Web for Music, Machine Learning and Data Science, Music Emotion Recognition, Interactive music sytems (e.g. intellignet editing, audio production and performance systems) |
| Prof Andrew McPherson Professor of Musical Interaction | new interfaces for musical expression, augmented instruments, performance study, human-computer interaction, embedded hardware |
| Dr Johan Pauwels Lecturer in Audio Signal Processing | automatic music labelling, music information retrieval, music signal processing, machine learning for audio, chord/key/structure (joint) estimation, instrument identification, multi-track/channel audio, music transcription, graphical models, big data science |
| Prof. Joshua D Reiss Professor of Audio Engineering | sound engineering, intelligent audio production, sound synthesis, audio effects, automatic mixing |
| Dr Charalampos Saitis Lecturer in Digital Music Processing, Turing Fellow | Communication acoustics, crossmodal correspondences, sound synthesis, cognitive audio, musical haptics |
| Prof Mark Sandler C4DM Director, Turing Fellow, Royal Society Wolfson Research Merit award holder | Digital Signal Processing, Digital Audio, Music Informatics, Audio Features, Semantic Audio, Immersive Audio, Studio Science, Music Data Science, Music Linked Data. |
| Dr Tony Stockman Senior Lecturer | Interaction Design, auditory displays, Data Sonification, Collaborative Systems, Cross-modal Interaction, Assistive Technology, Accessibility |
| Dr Lin Wang Lecturer in Applied Data Science and Signal Processing | signal processing; machine learning; robot perception |
Associate academic staff and fellows
| Name | Project/interests/keywords |
|---|---|
| Prof Pat Healey Professor of Human Interaction, Turing Fellow | |
| Dr Marcus Pearce Senior Lecturer in Sound & Music Processing | Music Cognition, Auditory Perception, Empirical Aesthetics, Statistical Learning, Probabilistic Modelling. |
| Prof Matthew Purver Professor of Computational Linguistics, Turing Fellow | computational linguistics including models of language and music |
| Prof Geraint Wiggins Professor of Computational Creativity | Computational Creativity, Artificial Intelligence, Music Cognition |
Research support staff
| Name | Project/interests/keywords |
|---|---|
| Alvaro Bort Research Programme Manager | Projects: UKRI Centre for Doctoral Training in Artificial Intelligence and Music, New Frontiers in Music Information Processing (MIP-Frontiers) |
| Jonathan Winfield Research Programme Manager | Project: Centre for Doctoral Training in Media and Arts Technology |
Postdoctoral research assistants
| Name | Project/interests/keywords |
|---|---|
| Dr Jacob Harrison | Bridging the gap: visually impaired and sighted music industry professionals working side by side |
| Dr Yuanyuan Liu | Project: Digital Platforms for Craft in the UK and China |
Research assistants
| Name | Project/interests/keywords |
|---|---|
| Sungkyun Chang | Deep learning technologies for multi-instrument automatic music transcription |
Research students
| Name | Project/interests/keywords |
|---|---|
| Berker Banar | Towards Composing Contemporary Classical Music using Generative Deep Learning |
| Adán Benito | Beyond the fret: gesture analysis on fretted instruments and its applications to instrument augmentation |
| Aditya Bhattacharjee | Self-supervision in Audio Fingerprinting |
| James Bolt | Intelligent audio and music editing with deep learning |
| Gary Bromham | The role of nostalga in music production |
| Carey Bunks | Cover Song Identification |
| Marco Comunità | Machine learning applied to sound synthesis models |
| Ruby Crocker | Continuous mood recognition in film music |
| Andrew (Drew) Edwards | Deep Learning for Jazz Piano: Transcription + Generative Modeling |
| Oluremi Falowo | E-AIM - Embodied Cognition in Intelligent Musical Systems |
| Corey Ford | Artificial Intelligence for Supporting Musical Creativity and Engagement in Child-Computer Interaction |
| David Foster | Modelling the Creative Process of Jazz Improvisation |
| Nelly Garcia | An investigation evaluating realism in sound design |
| Adam Andrew Garrow | : Probabilistic learning of sequential structures in music cognition |
| Iacopo Ghinassi | Semantic understanding of TV programme content and structure to enable automatic enhancement and adjustment |
| Max Graf | PERFORM-AI (Provide Extended Realities for Musical Performance using AI) |
| Andrea Guidi | Design for auditory imagery |
| Edward Hall | Probabilistic modelling of thematic development and structural coherence in music |
| Madeline Hamilton | Improving AI-generated Music with Pleasure Models |
| Benjamin Hayes | Perceptually motivated deep learning approaches to creative sound synthesis |
| Jiawen Huang | Lyrics Alignment For Polyphonic Music |
| Ilias Ibnyahya | Audio Effects design optimization |
| Thomas Kaplan | Probabilistic modelling of rhythm perception and production |
| Harnick Khera | Informed source separation for multi-mic production |
| Giacomo Lepri | Exploring the role of culture and community in the design of new musical instruments |
| Yukun Li | Computational Comparison Between Different Genres of Music in Terms of the Singing Voice |
| Jinhua Liang | AI for everyday sounds |
| Lele Liu | Automatic music transcription with end-to-end deep neural networks |
| Carlos Lordelo | Instrument modelling to aid polyphonic transcription |
| Yin-Jyun Luo | Industry-scale Machine Listening for Music and Audio Data |
| Yinghao Ma | Self-supervision in machine listening |
| Ilaria Manco | Multimodal Deep Learning for Music Information Retrieval |
| Luca Marinelli | Gender-coded sound: A multimodal data-driven analysis of gender encoding strategies in sound and music for advertising |
| Andrea Martelloni | Real-Time Gesture Classification on an Augmented Acoustic Guitar using Deep Learning to Improve Extended-Range and Percussive Solo Playing |
| Tyler Howard McIntosh | Expressive Performance Rendering for Music Generation Systems |
| Christopher Mitcheltree | Representation Learning for Audio Production Style and Modulations |
| Ashley Noel-Hirst | Latent Spaces for Human-AI music generation |
| Inês Nolasco | Towards an automatic acoustic identification of individuals in the wild |
| Brendan O'Connor | Singing Voice Attribute Transformation |
| Arjun Pankajakshan | Computational sound scene analysis |
| Teresa Pelinski | Sensor mesh as performance interface |
| Mary Pilataki | Deep Learning methods for Multi-Instrument Music Transcription |
| Vjosa Preniqi | Predicting demographics, personalities, and global values from digital media behaviours |
| Xavier Riley | Pitch tracking for music applications - beyond 99% accuracy |
| Eleanor Row | Automatic micro-composition for professional/novice composers using generative models as creativity support tools |
| Sebastián Ruiz | Physiological Responses to Ensemble Interaction |
| Saurjya Sarkar | New perspectives in instrument-based audio source separation |
| Pedro Sarmento | Guitar-Oriented Neural Music Generation in Symbolic Format |
| Dalia Senvaityte | Audio Source Separation for Advanced Digital Audio Effects |
| Bleiz Del Sette | The Sound of Care: researching the use of Deep Learning and Sonification for the daily support of people with Chronic Primary Pain |
| Elona Shatri | Optical music recognition using deep learning |
| Jordie Shier | Real-time timbral mapping for synthesized percussive performance |
| Shubhr Singh | Audio Applications of Novel Mathematical Methods in Deep Learning |
| Christian Steinmetz | End-to-end generative modeling of multitrack mixing with non-parallel data and adversarial networks |
| David Südholt | Machine Learning of Physical Models for Voice Synthesis |
| Jingjing Tang | End-to-End System Design for Music Style Transfer with Neural Networks |
| Louise Thorpe | Using Signal-informed Source Separation (SISS) principles to improve instrument separation from legacy recordings |
| Antonella Torrisi | Computational analysis of chick vocalisations: from categorisation to live feedback |
| Maryam Torshizi | Music emotion modelling using graph analysis |
| Cyrus Vahidi | Perceptual end to end learning for music understanding |
| Soumya Sai Vanka | Music Production Style Transfer and Mix Similarity |
| Yannis (John) Vasilakis | Active Learning for Interactive Music Transcription |
| Ningzhi Wang | Generative Models For Music Audio Representation And Understanding |
| James Weaver | Space and Intelligibility of Musical Performance |
| Alexander Williams | User-driven deep music generation in digital audio workstations |
| Elizabeth Wilson | Co-creative Algorithmic Composition Based on Models of Affective Response |
| Chris Winnard | Music Interestingness in the Brain |
| Lewis Wolstanholme | Meta-Physical Modelling |
| Chengye Wu | Leveraging cross-sensory associations in communication |
| Chin-Yun Yu | Neural Audio Synthesis with Expressiveness Control |
| Huan Zhang | Computational Modelling of Expressive Piano Performance |
| Jincheng Zhang | Emotion-specific Music Generation Using Deep Learning |
| Yixiao Zhang | Machine Learning Methods for Artificial Musicality |
Visiting academics
| Name | Project/interests/keywords |
|---|---|
| Dr Helen Bear Honorary Lecturer | Integrating sound and context recognition for acoustic scene analysis |
| Dr Matthias Mauch Visiting Academic | music transcription (chords, beats, drums, melody, ...), interactive music annotation, singing research, research in the evolution of musical styles |
| Dr Veronica Morfi | Machine transcription of wildlife bird sound scenes |
| Dr Montserrat Pàmies-Vilà University of Music and Performing Arts Vienna | Timbre modelling for non-conventional cello techniques |
Visitors
| Name | Project/interests/keywords |
|---|---|
| Domenico Stefani University of Trento, Italy | Embedded machine learning for smart musical instruments |
