ashispati/dmelodies_controllability

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Python
Created about 3 years ago
Updated about 3 years ago

ashispati/dmelodies_controllability

ashispati

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Code for running experiments in our ISMIR'21 paper titled: "Is Disentanglement enough? On Latent Representations for Controllable Music Generation"

InpaintNet

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

dmelodies_dataset

Dataset to study disentanglement in the context of symbolic music. Published as an ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"

ar-vae

Code accompanying NCA paper titled "Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders"

GuitarSoloDetection

Code accompanying AES Semantic Audio Conference paper titled "A Dataset and Method for Guitar Solo Detection in Rock Music"

AttributeModelling

Code accompanying ML4MD paper titled "Latent Space Regularization for Explicit Control of Musical Attributes"

MusicPerfAssessment

Code accompanying Applied Sciences paper titled "Assessment of Student Music Performances Using Deep Neural Networks"

dmelodies_benchmarking

Code for running benchmarking experiments on the dMelodies dataset. Supplementary to the ISMIR'20 paper titled: "dMelodies: A Music Dataset for Disentanglement Learning"

ChordIt

MacOS application for chord generation and accompaniment from sung or played monophonic melody using an HMM based algorithm - Final project for Audio Software Engineering (MUSI8903)