research
∙
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...
share
research
∙
08/18/2023
Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model
Research in natural language processing has demonstrated that the qualit...
research
∙
11/23/2022
On the Typicality of Musical Sequences
It has been shown in a recent publication that words in human-produced E...
research
∙
08/01/2022
SampleMatch: Drum Sample Retrieval by Musical Context
Modern digital music production typically involves combining numerous ac...
research
∙
07/04/2022
Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks
Lossy audio codecs compress (and decompress) digital audio streams by re...
research
∙
06/29/2022
DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks
In contemporary popular music production, drum sound design is commonly ...
research
∙
08/03/2021
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs
Generative Adversarial Networks (GANs) have achieved excellent audio syn...
research
∙
05/04/2021
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding
Influenced by the field of Computer Vision, Generative Adversarial Netwo...
research
∙
06/16/2020
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks
In this paper, we compare different audio signal representations, includ...
research
∙
01/06/2020
Modeling Musical Structure with Artificial Neural Networks
In recent years, artificial neural networks (ANNs) have become a univers...
research
∙
08/02/2019
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction
Spurred by the potential of deep learning, computational music generatio...
research
∙
07/13/2019
Learning Complex Basis Functions for Invariant Representations of Audio
Learning features from data has shown to be more successful than using h...
research
∙
07/19/2018
Audio-to-Score Alignment using Transposition-invariant Features
Audio-to-score alignment is an important pre-processing step for in-dept...
research
∙
06/22/2018
A Predictive Model for Music Based on Learned Interval Representations
Connectionist sequence models (e.g., RNNs) applied to musical sequences ...
research
∙
06/21/2018
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio
Many music theoretical constructs (such as scale types, modes, cadences,...
research
∙
08/17/2017
Learning Musical Relations using Gated Autoencoders
Music is usually highly structured and it is still an open question how ...
research
∙
07/05/2017
Improving Content-Invariance in Gated Autoencoders for 2D and 3D Object Rotation
Content-invariance in mapping codes learned by GAEs is a useful feature ...
research
∙
12/14/2016