We are always happy to have PhD interns on the team. If you are a PhD student interested in our activities, feel free to contact us!


GANStrument: Adversarial Instrument Sound Synthesis with Pitch-Invariant Instance Conditioning
Gaku Narita, Junichi Shimizu, Taketo Akama
neural synthesizer, generative adversarial networks, adversarial feature extraction
ISMIR 2022 – LBD
On the Typicality of Musical Sequences
Mathias Rose Bjare, Stefan Lattner
musical sequences, typicality, typical sampling
Differentiable Short-Term Models for Efficient Online Learning and Prediction in Monophonic Music
Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer
short-term models, online-learning, meta-learning, music prediction, Markov chains
ISMIR 2022
SampleMatch: Drum Sample Retrieval by Musical Context
Stefan Lattner
contrastive learning, drum samples selection, musical context
AIMC 2022
“Melatonin”: A Case Study on AI-induced Musical Style
Emmanuel Deruty, Maarten Grachten
musical style, bassnet, music production
ICML 2022 – MLAS Workshop
DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis with Autoencoding GANs
Javier Nistal, Cyran Aouameur, Ithan Velarde, Stefan Lattner
GANs, sound synthesis, drums, encoder
On the Development and Practice of AI Technology for Contemporary Popular Music Production
Emmanuel Deruty, Maarten Grachten, Stefan Lattner, Javier Nistal, Cyran Aouameur
AI music production, user study, development, popular music
The Piano Inpainting Application
Gaëtan Hadjeres, Léopold Crestel
piano inpainting, max for live, expressivity
ISMIR 2021
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence
Taketo Akama
musical inpainting, latent spaces, subsequence modulation, context
ISMIR 2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
Simon Rouard, Gaëtan Hadjeres
drums generation, diffusion, high resolution
ISMIR 2021
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs
Javier Nistal, Stefan Lattner, Gaël Richard
knowledge distillation, GANs, audio tagging, controllable sound synthesis
Electronics 2021 (Special Issue)
Stochastic Restoration of Heavily Compressed Musical Audio Using Generative Adversarial Networks
Stefan Lattner, Javier Nistal
audio restoration, GANs
VQCPC-GAN: Variable-length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding
Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
contrastive predictive coding, vector quantizagion, GAN conditionning, variable-length audio generation
AIMC 2020
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt
spectrogram inpainting, web interface, interaction, sound synthesis, VQVAE
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres, Léopold Crestel
self supervised learning, Bach chorales, control, variations, quantization