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!

Publications.

ISMIR 2022 – LBD

On the Typicality of Musical Sequences

Mathias Rose Bjare, Stefan Lattner

musical sequences, typicality, typical sampling

TISMIR 2022

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

TISMIR 2022

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

2021

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

WASPAA 2021

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

2020

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