We introduce a method for imposing higher-level structure on generated, polyphonic music.
A Convolutional Restricted Boltzmann Machine (C-RBM) as a generative model is combined …

Deep learning has given AI-based methods for music creation a boost by over the past
years. An important challenge in this field is to balance user control and autonomy in music …

When using ultrasound video as input, Deep Neural Network-based Silent Speech
Interfaces usually rely on the whole image to estimate the spectral parameters required for …

Many music theoretical constructs (such as scale types, modes, cadences, and chord types)
are defined in terms of pitch intervals---relative distances between pitches. Therefore, when …

Connectionist sequence models (eg, RNNs) applied to musical sequences suffer from two
known problems: First, they have strictly" absolute pitch perception". Therefore, they fail to …

In this thesis, we approach these questions by defining and implementing a multi-scale
model for music segment structure description, called Polytopic Graph of Latent Relations …

Kivonat A neurális hálón alapuló némabeszéd-interfészek általában a teljes ultrahangkép
alapján becslik meg a spektrális paramétereket, melyekből a vokóder aztán beszédet …