22 citations · 60 across the 10 of their papers we have counts for
13 papers
The Piano Inpainting Application
Gaëtan Hadjeres, Léopold Crestel
Autoregressive models are now capable of generating high-quality minute-long expressive MIDI piano performances. Even though this progress suggests new tools to assist music compos…
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Théis Bazin, Gaëtan Hadjeres, Philippe Esling +1
Modern approaches to sound synthesis using deep neural networks are hard to control, especially when fine-grained conditioning information is not available, hindering their adoptio…
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Alisa Liu, Alexander Fang, Gaëtan Hadjeres +2
Deep learning has rapidly become the state-of-the-art approach for music generation. However, training a deep model typically requires a large training set, which is often not avai…
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres, Léopold Crestel
In this work, we propose a flexible method for generating variations of discrete sequences in which tokens can be grouped into basic units, like sentences in a text or bars in musi…
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof
Frank Nielsen, Gaëtan Hadjeres
We first introduce the class of strictly quasiconvex and strictly quasiconcave Jensen divergences which are oriented (asymmetric) distances, and study some of their properties. We…
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting
Théis Bazin, Gaëtan Hadjeres
Inpainting-based generative modeling allows for stimulating human-machine interactions by letting users perform stylistically coherent local editions to an object using a statistic…