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09/05/2023
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective
In this paper, we address the problem of pitch estimation using Self Sup...
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07/13/2021
The Piano Inpainting Application
Autoregressive models are now capable of generating high-quality minute-...
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06/14/2021
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis
In this paper, we propose a novel score-base generative model for uncond...
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04/15/2021
Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Modern approaches to sound synthesis using deep neural networks are hard...
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06/23/2020
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Deep learning has rapidly become the state-of-the-art approach for music...
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04/21/2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
In this work, we propose a flexible method for generating variations of ...
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02/19/2020
Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances
Distances between probability distributions that take into account the g...
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09/19/2019
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof
We first introduce the class of quasiconvex and quasiconcave Jensen dive...
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07/23/2019
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting
Inpainting-based generative modeling allows for stimulating human-machin...
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07/04/2019
Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds
In this work, we introduce a system for real-time generation of drum sou...
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07/02/2019
Learning to Traverse Latent Spaces for Musical Score Inpainting
Music Inpainting is the task of filling in missing or lost information i...
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03/14/2019
On power chi expansions of f-divergences
We consider both finite and infinite power chi expansions of f-divergenc...
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01/11/2019
Variation Network: Learning High-level Attributes for Controlled Input Manipulation
This paper presents the Variation Network (VarNet), a generative model p...
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03/20/2018
Monte Carlo Information Geometry: The dually flat case
Exponential families and mixture families are parametric probability mod...
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09/19/2017
Interactive Music Generation with Positional Constraints using Anticipation-RNNs
Recurrent Neural Networks (RNNS) are now widely used on sequence generat...
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09/05/2017
Deep Learning Techniques for Music Generation - A Survey
This book is a survey and an analysis of different ways of using deep le...
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09/03/2017
Deep rank-based transposition-invariant distances on musical sequences
Distances on symbolic musical sequences are needed for a variety of appl...
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07/14/2017
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
VAEs (Variational AutoEncoders) have proved to be powerful in the contex...
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12/03/2016
DeepBach: a Steerable Model for Bach Chorales Generation
This paper introduces DeepBach, a graphical model aimed at modeling poly...
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09/16/2016