People
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 Senior Lecturer, 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 Reader in Interaction Design. Visiting Professor of Interaction Design, Hunan University, China. | 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, Deputy Director of C4DM, Director of the AIM CDT | 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 Pat Healey Professor of Human Interaction | |
| Dr Andrew McPherson Reader in Digital Media | new interfaces for musical expression, augmented instruments, performance study, human-computer interaction, embedded hardware |
| Dr Marcus Pearce Senior Lecturer in Sound & Music Processing | Music Cognition, Auditory Perception, Empirical Aesthetics, Statistical Learning, Probabilistic Modelling. |
| Dr Huy Phan Lecturer in Artificial Intelligence | Machine listening, computational auditory scene analysis, machine learning for speech processing, machine learning for biosignal analysis, longitudinal sleep monitoring, healthcare applications |
| Prof Matthew Purver Professor in Computational Linguistics | computational linguistics including models of language and music |
| Prof. Joshua D Reiss Professor in Audio Engineering | sound engineering, intelligent audio production, sound synthesis, audio effects, automatic mixing |
| Dr Charalampos Saitis Lecturer in Digital Music Processing | Auditory perception and cognition, crossmodal correspondences, musical acoustics, musical haptics, musician-instrument interaction, affective computing |
| 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 Dan Stowell Lecturer | Machine listening, birdsong, bird calls, multi-source, probabilistic models, machine learning, beatboxing |
Research support staff
| Name | Project/interests/keywords |
|---|---|
| Dr Jasmina Bolfek-Radovani Research Programme Manager | Project: UKRI Centre for Doctoral Training in Artificial Intelligence and Music |
| 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 Yuanyuan Liu | Project: Digital Platforms for Craft in the UK and China |
| Veronica Morfi Postdoctoral Research Assistant | Machine transcription of wildlife bird sound scenes |
| Ken O'Hanlon | Development of next generation music recognition algorithm for content monitoring |
| Dr Thomas Wilmering |
Research assistants
| Name | Project/interests/keywords |
|---|
Research students
| Name | Project/interests/keywords |
|---|---|
| Ruchit Agrawal | Adaptive Semi-Supervised Music Alignment |
| Jack Armitage | Supporting craft in digital musical instrument design |
| Berker Banar | Generating emotional music using AI |
| Adán Benito | Beyond the fret: gesture analysis on fretted instruments and its applications to instrument augmentation |
| Gary Bromham | The role of nostalga in music production |
| Fred Bruford | |
| Marco Comunità | Machine learning applied to sound synthesis models |
| Alejandro Delgado | Fine grain time resolution audio features for MIR |
| Emir Demirel Marie Curie Skladowska Actions Fellow | Automatic Lyrics Transcription and Alignment |
| Corey Ford | Artificial Intelligence for Supporting Musical Creativity and Engagement in Child-Computer Interaction |
| David Foster | Modelling the Creative Process of Jazz Improvisation |
| Max Graf | PERFORM-AI (Provide Extended Realities for Musical Performance using AI) |
| Madeline Hamilton | Improving AI-generated Music with Pleasure Models |
| Jacob Harrison | Music interfaces for stroke neuro-rehabilitation |
| Benjamin Hayes | Perceptually motivated deep learning approaches to creative sound synthesis |
| Jiawen Huang | Lyrics Alignment For Polyphonic Music |
| 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 |
| 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 |
| Ilaria Manco | Deep learning and multi-modal models for the music industry |
| Luca Marinelli | Gender-coded sound: A multimodal data-driven analysis of gender encoding strategies in sound and music for advertising |
| Liang Men | |
| Alessia Milo | |
| Giulio Moro | IoT (as in instruments of things), low latency audio and sensors, embedded devices, why-do-people-think-analog-is-better |
| Inês Nolasco | Towards an automatic acoustic identification of individuals in the wild |
| Brendan O'Connor | Voice Transformation |
| Iretiolowa Olowe | |
| Arjun Pankajakshan | Computational sound scene analysis |
| Mary Pilataki-Manika | Polyphonic Music Transcription using Deep Learning |
| Vanessa Pope | Automated Analysis of Rhythm in Performed Speech |
| Vjosa Preniqi | Predicting demographics, personalities, and global values from digital media behaviours |
| Xavier Riley | Digging Deeper - expanding the “Dig That Lick” corpus with new sources and techniques |
| 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 |
| Dalia Senvaityte | Audio Source Separation for Advanced Digital Audio Effects |
| Elona Shatri | Optical music recognition using deep learning |
| Rishi Shukla | Binaural virtual auditory display for music content recommendation and navigation |
| Shubhr Singh | Audio Applications of Novel Mathematical Methods in Deep Learning |
| Janis Sokolovskis | New Technologies for Music Learning: Computer-assisted approaches to analysis and shaping of music instrument practice |
| Christian Steinmetz | End-to-end generative modeling of multitrack mixing with non-parallel data and adversarial networks |
| Vinod Subramanian | Note level audio features for understanding and visualising musical performance |
| Jingjing Tang | End-to-End System Design for Music Style Transfer with Neural Networks |
| Cyrus Vahidi | Perceptual end to end learning for music understanding |
| Changhong Wang | Automatic Classification of Chinese Bamboo Flute Playing Techniques |
| James Weaver | Space and Intelligibility of Musical Performance |
| William J. Wilkinson | Probabilistic machine listening. Generative models for natural sounds. |
| Lewis Wolstanholme | Real-time instrument transformation and augmentation with deep learning |
| Yongmeng Wu | |
| Simin Yang | Analysis and Prediction of Listeners' Time-varying Emotion Responses in Live Music Performance |
| 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 |
| Roger Dean Visiting Professor | |
| Dr Matthias Mauch Visiting Academic | music transcription (chords, beats, drums, melody, ...), interactive music annotation, singing research, research in the evolution of musical styles |
| Martyn Ware Visiting Professorial Fellow |
Visitors
| Name | Project/interests/keywords |
|---|
