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!


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
ISMIR 2020
Ultra-light deep MIR by trimming lottery tickets
Philippe Esling, Theis Bazin, Adrien Bitton, Tristan Carsault, Ninon Devis
mir, lottery ticket, pruning, deep learning, model compression
ISMIR 2020
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using GANs
Javier Nistal, Stefan Lattner, Gaël Richard
drum synthesis, progressive growing GANs, perceptual features, control parameters
ISMIR 2020
Connective Fusion: Learning Transformational Joining of Sequences with Application to Melody Creation
Taketo Akama
sequence joining, latent space exploration, melody creation
Applied Sciences 2020 (Special Issue)
BassNet: A Variational Gated Autoencoder for Conditional Generation of Bass Guitar Tracks with Learned Interactive Control
Maarten Grachten, Stefan Lattner, Emmanuel Deruty
conditional bassline generation, gated autoencoder, features prediction, latent space exploration
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks
Javier Nistal, Stefan Lattner, Gaël Richard
audio representation, GANs, sound synthesis, comparative study
ISMIR 2019
Learning Complex Basis Functions For Invariant Representations Of Audio
Stefan Lattner, Monika Dörfler, Andreas Arzt
complex autoencoder, transformation invariance, representation learning, music information retrieval
ISMIR 2019
Auto-adaptive Resonance Equalization using Dilated Residual Networks
Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy
resonance equalization, subjective ratings
ISMIR 2019
Learning to Traverse Latent Spaces for Musical Score Inpainting
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres
VAEs, music inpainting, latent space
DrumNet: High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction
Stefan Lattner, Maarten Grachten
drumnet, drum patterns, gated autoencoder, user control
ICCC 2019
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting
Théis Bazin, Gaëtan Hadjeres
web interface, interactive music composition, music inpainting
ICCC 2019
Neural Drum Machine: An Interactive System for Real-time Synthesis of Drum Sounds
Cyran Aouameur, Philippe Esling, Gaëtan Hadjeres
VAE, drum synthesis, controlable system, latent space exploration