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 2024

Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models

Javier Nistal, Marco Pasini, Cyran Aouameur, Maarten Grachten, Stefan Lattner

latent diffusion, musical accompaniment, co-creator, high-quality

ICASSP 2024

Bass Accompaniment Generation via Latent Diffusion

Marco Pasini, Maarten Grachten, Stefan Lattner

latent diffusion, diffusion sampling, music accompaniment generation

NeurIPS 2023 – MLA Workshop

Self-Supervised Music Source Separation Using Vector-Quantized Source Category Estimates

Marco Pasini, Stefan Lattner, George Fazekas

source separation, self-supervised learning, clustering

ISMIR 2023

Singer Identity Representation Learning Using Self-Supervised Techniques

Bernardo Torres, Stefan Lattner, Gael Richard

singer identity, representation learning, self-supervised

ISMIR 2023

Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model

Mathias Rose Bjare, Stefan Lattner, Gerhard Widmer

transformers, sequence generation, typical sampling, folk melody

ISMIR 2023

PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective

Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters

pitch estimation, Self Supervised Learning (SSL), lightweight, Toeplitz matrices

ICASSP 2023

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

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