People

spatial and immersive audio, music signal processing, machine learning for audio, music information retrieval

new interfaces for musical expression, performance study, human-computer interaction, interaction design

Communication acoustics, crossmodal correspondences, sound synthesis, cognitive audio, musical haptics

Machine listening, music information retrieval, computational sound scene analysis, machine learning for audio analysis, language models for music and audio, computational musicology

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)

theoretical neuroscience, machine perception, artificial intelligence

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

signal processing; machine learning; robot perception

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

Interaction Design, auditory displays, Data Sonification, Collaborative Systems, Cross-modal Interaction, Assistive Technology, Accessibility

new interfaces for musical expression, augmented instruments, performance study, human-computer interaction, embedded hardware

Digital Signal Processing, Digital Audio, Music Informatics, Audio Features, Semantic Audio, Immersive Audio, Studio Science, Music Data Science, Music Linked Data.

sound engineering, intelligent audio production, sound synthesis, audio effects, automatic mixing

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.

Music Cognition, Auditory Perception, Empirical Aesthetics, Statistical Learning, Probabilistic Modelling.

Computational Creativity, Artificial Intelligence, Music Cognition

computational linguistics including models of language and music

human interaction, human communication

Probabilistic learning of sequential structures in music cognition

Neuro-evolved Heuristics for Meta-composition

Self-supervision in Audio Fingerprinting

Beyond the fret: gesture analysis on fretted instruments and its applications to instrument augmentation

User-driven deep music generation in digital audio workstations

Real-Time Gesture Classification on an Augmented Acoustic Guitar using Deep Learning to Improve Extended-Range and Percussive Solo Playing

Deep Learning for Jazz Piano: Transcription + Generative Modeling

Computational analysis of chick vocalisations: from categorisation to live feedback

Latent Spaces for Human-AI music generation

Perceptually motivated deep learning approaches to creative sound synthesis

Towards Composing Contemporary Classical Music using Generative Deep Learning

The Sound of Care: researching the use of Deep Learning and Sonification for the daily support of people with Chronic Primary Pain

Advancing music generation via accelerated deep learning

Cover Song Identification

Neural Drum Synthesis

Neural Audio Synthesis with Expressiveness Control

Music Interestingness in the Brain

End-to-end generative modeling of multitrack mixing with non-parallel data and adversarial networks

Representation Learning for Audio Production Style and Modulations

Deep learning for low-resource music

Perceptual end to end learning for music understanding

Modelling the Creative Process of Jazz Improvisation

Machine Learning of Physical Models for Voice Synthesis

Emotion-based Personalised Music Recommendation

Automatic micro-composition for professional/novice composers using generative models as creativity support tools

Optical music recognition using deep learning

Information-theoretic neural networks for online perception of auditory objects

AI-assisted FM synthesis for sound design and control mapping

The role of nostalga in music production

Representation learning for musical audio using graph neural network-based recommender engines

Timbre Tools for the Digital Instrument Maker

Informed source separation for multi-mic production

Computational Modelling of Expressive Piano Performance

Semantic understanding of TV programme content and structure to enable automatic enhancement and adjustment

Multimodal Deep Learning for Music Information Retrieval

Time to vibe together: cloud-based guitar and intelligent agent

Intelligent audio and music editing with deep learning

Lyrics Alignment For Polyphonic Music

End-to-End System Design for Music Style Transfer with Neural Networks

AI for everyday sounds

Real-time timbral mapping for synthesized percussive performance

Beyond Supervised Learning for Musical Audio

Predicting hit songs: multimodal and data-driven approach

Neuro-Symbolic Automated Music Composition

Automatic music transcription with end-to-end deep neural networks

Meta-Physical Modelling

Neuro-symbolic music models

Gender-coded sound: A multimodal data-driven analysis of gender encoding strategies in sound and music for advertising

Improving AI-generated Music with Pleasure Models

Machine learning applied to sound synthesis models

Fast and Controllable Music Generation

Deep Learning methods for Multi-Instrument Music Transcription

PERFORM-AI (Provide Extended Realities for Musical Performance using AI)

An investigation evaluating realism in sound design

Generative Models For Music Audio Representation And Understanding

E-AIM - Embodied Cognition in Intelligent Musical Systems

Machine Learning of Physical Models

Multimodal AI for musical collaboration in immersive environments

Multi-modal Learning for Music Understanding

Hybrid Neural Methods for Sound Synthesis

Continuous mood recognition in film music

Character-based adaptive generative music for film and video games using Deep Learning and Hidden Markov Models

Physiological Responses to Ensemble Interaction

Style classification of podcasts using audio

Audio Applications of Novel Mathematical Methods in Deep Learning

Explainability of AI Music Generation

Music Production Style Transfer and Mix Similarity

Sabotaging, errors and other mistakes as a source of new techniques in music improvisation

Sensor mesh as performance interface

Expressive Performance Rendering for Music Generation Systems

Predicting demographics, personalities, and global values from digital media behaviours

Pitch tracking for music applications - beyond 99% accuracy

Composition-aware music recommendation system for music production

Active Learning for Interactive Music Transcription

Virtual Placement of Objects in Acoustic Scenes

Film score composer AI assistant: generating expressive mockups

Industry-scale Machine Listening for Music and Audio Data

Self-supervision in machine listening

Machine Learning Methods for Artificial Musicality

Computational Comparison Between Different Genres of Music in Terms of the Singing Voice

Towards Tonality-Aware Music Understanding: Modeling Complex Tonal Harmony

Networks able to display relationships between human and nonhuman actors. Project: Sensing the Forest.

music information retrieval, language models for music generation, guitar tablature generation, automatic guitar transcription, deep learning

Audio Source Separation, Music Information Retrieval, Sample Detection

Project: Digital Platforms for Craft in the UK and China

Sample Identification in Mastered Songs using Deep Learning Methods

Audio ML, Automatic Lyrics Transcription

Deep learning technologies for multi-instrument automatic music transcription

Projects: UKRI Centre for Doctoral Training in Artificial Intelligence and Music, New Frontiers in Music Information Processing (MIP-Frontiers)

music transcription (chords, beats, drums, melody, ...), interactive music annotation, singing research, research in the evolution of musical styles

Online Speech Enhancement In Scenarios With Low Direct-to-Reverberant-Ratio

Automated Music Performance Assessment and Critique