Deep learning's shallow gains: A comparative evaluation of algorithms for automatic music generation
Deep learning methods are recognised as state-of-the-art for many applications of machine
learning. Recently, deep learning methods have emerged as a solution to the task of …
learning. Recently, deep learning methods have emerged as a solution to the task of …
3D-DCDAE: Unsupervised music latent representations learning method based on a deep 3d convolutional denoising autoencoder for music genre classification
L Qiu, S Li, Y Sung - Mathematics, 2021 - mdpi.com
With unlabeled music data widely available, it is necessary to build an unsupervised latent
music representation extractor to improve the performance of classification models. This …
music representation extractor to improve the performance of classification models. This …
A survey on artificial intelligence for music generation: Agents, domains and perspectives
C Hernandez-Olivan, J Hernandez-Olivan… - arXiv preprint arXiv …, 2022 - arxiv.org
Music is one of the Gardner's intelligences in his theory of multiple intelligences. How
humans perceive and understand music is still being studied and is crucial to develop …
humans perceive and understand music is still being studied and is crucial to develop …
Examining emotion perception agreement in live music performance
Current music emotion recognition (MER) systems rely on emotion data averaged across
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …
When in Rome: a meta-corpus of functional harmony
'When in Rome'brings together all human-made, computer-encoded, functional harmonic
analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The …
analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The …
Exploring emotions in Bach chorales: a multi-modal perceptual and data-driven study
E Parada-Cabaleiro, A Batliner… - Royal Society …, 2023 - royalsocietypublishing.org
The relationship between music and emotion has been addressed within several
disciplines, from more historico-philosophical and anthropological ones, such as musicology …
disciplines, from more historico-philosophical and anthropological ones, such as musicology …
CorpusVis: Visual analysis of digital sheet music collections
Manually investigating sheet music collections is challenging for music analysts due to the
magnitude and complexity of underlying features, structures, and contextual information …
magnitude and complexity of underlying features, structures, and contextual information …
A dataset of symbolic texture annotations in mozart piano sonatas
Musical scores are generally analyzed under different aspects, notably melody, harmony,
rhythm, but also through their texture, although this last concept is arguably more delicate to …
rhythm, but also through their texture, although this last concept is arguably more delicate to …
MIDI2vec: Learning MIDI embeddings for reliable prediction of symbolic music metadata
An important problem in large symbolic music collections is the low availability of high-
quality metadata, which is essential for various information retrieval tasks. Traditionally …
quality metadata, which is essential for various information retrieval tasks. Traditionally …
[HTML][HTML] Musicaiz: A python library for symbolic music generation, analysis and visualization
C Hernandez-Olivan, JR Beltran - SoftwareX, 2023 - Elsevier
In this article, we present musicaiz, an object-oriented library for analyzing, generating and
evaluating symbolic music. The submodules of the package allow the user to create …
evaluating symbolic music. The submodules of the package allow the user to create …