We introduce the new audio analysis task of pedestrian detection and pre...
Cinematic audio source separation is a relatively new subtask of audio s...
Music classification has been one of the most popular tasks in the field...
Despite the recent proliferation of spatial audio technologies, the
eval...
The performance of approaches to Music Instrument Classification, a popu...
Transfer learning (TL) approaches have shown promising results when hand...
Recent years have seen considerable advances in audio synthesis with dee...
Labeling and maintaining a commercial sound effects library is a
time-co...
The three packages libACA, pyACA, and ACA-Code provide reference
impleme...
Feature representations derived from models pre-trained on large-scale
d...
Harsh vocal effects such as screams or growls are far more common in hea...
Latte (for LATent Tensor Evaluation) is a Python library for evaluation ...
Audio classification has seen great progress with the increasing availab...
Controllable music generation with deep generative models has become
inc...
Several automatic approaches for objective music performance assessment ...
Improving controllability or the ability to manipulate one or more attri...
A musical performance renders an acoustic realization of a musical score...
We propose a deep learning approach to predicting audio event onsets in
...
Preprint for a book chapter introducing Audio Content Analysis. With a f...
Automatic lyrics generation has received attention from both music and A...
We propose a visually conditioned music remixing system by incorporating...
Music source separation is a core task in music information retrieval wh...
The assessment of music performances in most cases takes into account th...
Representation learning focused on disentangling the underlying factors ...
In the field of music information retrieval, the task of simultaneously
...
Selective manipulation of data attributes using deep generative models i...
Deep generative models for symbolic music are typically designed to mode...
While the automatic recognition of musical instruments has seen signific...
Music Inpainting is the task of filling in missing or lost information i...
Music Information Retrieval (MIR) tends to focus on the analysis of audi...
FusionGAN is a novel genre fusion framework for music generation that
in...