AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Research work examining audio generation, music/audio representation learning.
Research
Papers, projects and labs working on AI music.
140 results
AVATAR
Machine-learning-aided performance system that listens to live audio and plays collaboratively with a human musician.
Beyond Artifacts: Towards Generalizable Synthetic Song Detection via Music-Intrinsic Features
Research work examining evaluation benchmark, music/audio representation learning.
Beyond the Prompt
Conservatorium van Amsterdam research project on real-time collaboration between musicians and AI systems.
BioMúsica
BioMúsica: Aplicações de Inteligência Artificial e Algoritmos Bio-Inspirados em Música
Brazilian research project applying artificial intelligence and bio-inspired algorithms to composition and improvisation.
Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network
Paper on classifying Brazilian music genres from a large lyrics dataset using a BLSTM network.
BumaStemra AI detection programme
Pilot and 2026 catalogue-level expansion testing detection of likely AI-generated musical works.
ChatMusician: Understanding and Generating Music Intrinsically with LLM
Research work examining evaluation benchmark, music/audio representation learning.
CLAP: Learning Audio Concepts From Natural Language Supervision
Research work examining music/audio AI research.
ComMU: Dataset for Combinatorial Music Generation
Research work examining music generation, symbolic music.
Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
Peer-reviewed review of computational creativity and music-generation systems by CSC researchers.
Creative Dialogues between Human and Machine
Research project investigating joint improvisation between human musicians and AI systems.
DeRA-MOS: Optimizing Text-to-Music Evaluation via Decoupled Listwise Ranking and Modality Alignment
Research work examining text-to-music generation.
Distant Listening: Transitions of Tonality
EPFL project using computational methods to study historical transitions of tonality.
Efficient Neural Music Generation
Research work examining music generation.
EgoMusic: A Dataset for Egocentric Audiovisual Music Understanding
ACM Multimedia 2025 dataset paper from Dublin City University researchers.