Modeling and inferring proto-voice structure in free polyphony

C Finkensiep, MA Rohrmeier - Proceedings of the 22nd …, 2021 - infoscience.epfl.ch
Voice leading is considered to play an important role in the structure of Western tonal music.
However, the explicit voice assignment of a piece (if present at all) generally does not reflect …

Modelling the syntax of north indian melodies with a generalized graph grammar

C Finkensiep, R Widdess… - Proceedings of the 19th …, 2019 - infoscience.epfl.ch
Hierarchical models of music allow explanation of highly complex musical structure based
on the general principle of recursive elaboration and a small set of orthogonal operations …

[HTML][HTML] Voice-leading transformation and generative theories of tonal structure

J Yust - Music Theory Online, 2015 - mtosmt.org
Numerous generative approaches to explaining tonal structure and/or Schenker's theories
have been proposed since Babbitt noted a resemblance between Schenker's analytical …

The structure of free polyphony

C Finkensiep - 2023 - infoscience.epfl.ch
The human ability to perceive and understand music is remarkable. From an unstructured
stream of acoustic input it creates a wide range of experiences, from psycho-acoustic effects …

MuseReduce: A Generic Framework for Hierarchical Music Analysis

P Ericson, Y Rammos, M Rohrmeier - Music Encoding Conference …, 2023 - diva-portal.org
In comparison to computational linguistics, with its abundance of natural-language datasets,
corpora of music analyses are rather fewer and generally smaller. This is partly due to …

Music Generation Using Supervised Learning and LSTM

SM Tony, S Sasikumar - … in Energy Technology: Select Proceedings of …, 2022 - Springer
In this paper, we propose a few methodologies for composing music using deep learning
algorithms and long short-term memory (LSTM) neural network. The LSTM model is created …

[PDF][PDF] Investigation on Automatic Music Generation Using Gan and Lstm Networks

SM Tony, S Sasikumar - 2022 - scholar.archive.org
In this article, the authors propose a few methodologies for composing music using deep
learning algorithms and Long-short term memory (LSTM) neural network and Generative …

Machine learning and music generation

JM Iñesta, D Conklin, R Ramírez - Journal of Mathematics and …, 2016 - Taylor & Francis
This special issue on machine learning and music generation features rigorously refereed
papers based on selected extended abstracts presented at the 8th International Workshop …

[图书][B] Machine Learning and Music Generation

JM Iñesta, DC Conklin, R Ramírez-Melendez, TM Fiore - 2018 - books.google.com
Computational approaches to music composition and style imitation have engaged
musicians, music scholars, and computer scientists since the early days of computing. Music …

The inconstancy of music: Dedicated to the memory of Laurence Maillard-Teyssier (1975–2020) Qui de nous A pu S'affranchir de l'absence ? (Eugène Guillevic)

F Levé, G Micchi, JP Allouche - Journal of Mathematics and Music, 2023 - Taylor & Francis
A melody is often described as a line of music that evolves through time and, therefore, it is
possible to draw its 2D pitch-time representation as a series of points implicitly defining a …