Results 1 to 10 of about 3,977,783 (295)
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer [PDF]
arXiv, 2018 We introduce MIDI-VAE, a neural network model based on Variational Autoencoders that is capable of handling polyphonic music with multiple instrument tracks, as well as modeling the dynamics of music by incorporating note durations and velocities. We show that MIDI-VAE can perform style transfer on symbolic music by automatically changing pitches ...
Brunner, Gino +3 more
arxiv +6 more sources
Dynamical systems theory for music dynamics [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 1994 We show that, when music pieces are cast in the form of time series of pitch variations, the concepts and tools of dynamical systems theory can be applied to the analysis of {\it temporal dynamics} in music. (i) Phase space portraits are constructed from the time series wherefrom the dimensionality is evaluated as a measure of the {\pit global ...
Boon, Jean Pierre, Decroly, Olivier
arxiv +7 more sources
Modelling the perception of music in brain network dynamics [PDF]
Frontiers in Network Physiology, 2022 We analyze the influence of music in a network of FitzHugh-Nagumo oscillators with empirical structural connectivity measured in healthy human subjects.
Jakub Sawicki +3 more
openalex +3 more sources
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music [PDF]
ACM Multimedia, 2020 Definitive embeddings remain a fundamental challenge of computational musicology for symbolic music in deep learning today. Analogous to natural language, music can be modeled as a sequence of tokens. This motivates the majority of existing solutions to explore the utilization of word embedding models to build music embeddings.
Hongru Liang +5 more
arxiv +3 more sources
Applications of system dynamics modelling to computer music [PDF]
, 2000 Based on a composer's psycho-acoustic imagination or response to music, system dynamics modelling and simulation tools can be used as a scoring device to map the structural dynamic shape of interest of computer music compositions.
Whalley, Ian
core +4 more sources
Dynamic cluster structure and predictive modelling of music creation style distributions [PDF]
Royal Society Open Science, 2022 We investigate the dynamics of music creation style distributions to understand cultural evolution involving intelligence to create complex artefacts.
Rajsuryan Singh, Eita Nakamura
doaj +2 more sources
Synchronization between music dynamics and heart rhythm is modulated by the musician’s emotional involvement: A single case study [PDF]
Frontiers in Psychology, 2022 In this study we evaluated heart rate variability (HRV) changes in a pianist, playing in a laboratory, to investigate whether HRV changes are guided by music temporal features or by technical difficulty and/or subjective factors (e.g., experienced effort)
Laura Sebastiani +4 more
openalex +2 more sources
Complexity Measures of Music [PDF]
, 2017 We present a technique to search for the presence of crucial events in music, based on the analysis of the music volume. Earlier work on this issue was based on the assumption that crucial events correspond to the change of music notes, with the interesting result that the complexity index of the crucial events is mu ~ 2, which is the same inverse ...
Mahmoodi, Korosh +2 more
arxiv +5 more sources
Music Gesture for Visual Sound Separation [PDF]
arXiv, 2020 Recent deep learning approaches have achieved impressive performance on visual sound separation tasks. However, these approaches are mostly built on appearance and optical flow like motion feature representations, which exhibit limited abilities to find the correlations between audio signals and visual points, especially when separating multiple ...
Chuang Gan +4 more
arxiv +3 more sources
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment [PDF]
AAAI Conference on Artificial Intelligence, 2017 Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed of multiple instruments/tracks with their own temporal dynamics, but ...
Dong, Hao-Wen +3 more
core +2 more sources