manoskary
Ph.D. Student of artificial intelligence at the Computational Perception Institute of Johannes Kepler University.
@CPJKU Austria
Pinned Repositories
asap-dataset
A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.
cadet
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
ChordGNN
This is the repository of the paper: Roman Numeral Analysis with Graph Neural Networks
graphmuse
A Graph Deep Learning Library for Music.
MusGConv
Implementation and experiment of the MusGConv paper.
musym-GDL
Geometric Deep Learning Applied on Symbolic Music Scores
SMUG-Explain
A Framework for Symbolic MUsic Graph Explanations
tonnetzcad
A Data-Set for GDL containing heterogeneous graphs produced by Tonnetz trajectories with cadence labels.
Topological-Descriptors-for-Symbolic-Music-Genre-Classification
During the period of November 2019 and August 2020 I carried out my internship atT ́el ́ecom Paris in Paris. I worked under the Supervision of Isabelle Block as part of theImages team. We overtook the endeavour of automated musical analysis for musical genreclassification. The goal was to refine the notion of harmonic trajectory descriptor andinvestigate how to improve classification on symbolic music data. The hypothesis is thatthe harmonic trajectory of musical piece is an imprint that defines the genre of the pieceat a certain level.In this work, we focus on different methods to utilize the harmonic trajectory descriptoreither for classification purposes or transcription and key estimation purposes. We workedwith large databases of symbolic music scores, such as the Lakh Data-set. We presented amodular, in regards to descriptors, system for supervised learning, mainly using supportvector machines.
vocsep_ijcai2023
Code for the paper Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
manoskary's Repositories
manoskary/graphmuse
A Graph Deep Learning Library for Music.
manoskary/MusGConv
Implementation and experiment of the MusGConv paper.
manoskary/ChordGNN
This is the repository of the paper: Roman Numeral Analysis with Graph Neural Networks
manoskary/SMUG-Explain
A Framework for Symbolic MUsic Graph Explanations
manoskary/vocsep_ijcai2023
Code for the paper Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
manoskary/musym-GDL
Geometric Deep Learning Applied on Symbolic Music Scores
manoskary/cadet
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
manoskary/tonnetzcad
A Data-Set for GDL containing heterogeneous graphs produced by Tonnetz trajectories with cadence labels.
manoskary/asap-dataset
A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.
manoskary/AudioLDM
AudioLDM: Generate speech, sound effects, music and beyond, with text.
manoskary/AugmentedNet
A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks
manoskary/bach-wtc-fugues
Fugues from J.S. Bach's The Well-Tempered Clavier, Books I and II with each part on their own staff.
manoskary/basismixer
The Basis Mixer is an implementation of the Basis Function Modeling framework for musical expression
manoskary/bench-partitura
manoskary/CRGNN
This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization
manoskary/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
manoskary/GraphMAE2
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
manoskary/humdrum-data
Humdrum data files download interface.
manoskary/humdrum-haydn-quartets
Digital edition of Joseph Haydn's string quartets in the Humdrum file format.
manoskary/humdrum-mozart-quartets
Digital edition of W.A. Mozart's string quartets in the Humdrum and in MusicXML file format.
manoskary/impact-analysis-example-python
How to do impact analysis with CodeCov
manoskary/intervals
manoskary/kern_piano_datasets
A Collection of Humdrum **kern Piano Datasets
manoskary/manoskary
My profile
manoskary/match-documentation
manoskary/mir_conference_deadlines
:alarm_clock: MIR conference deadline countdowns
manoskary/musicgen-dreamboothing
Fine-tune your own MusicGen with LoRA
manoskary/partitura
A python package for handling modern staff notation of music
manoskary/stable-audio-tools
Generative models for conditional audio generation
manoskary/starter-academic