Text-based LSTM networks for Automatic Music Composition

18 April 2016

Papers citing "Text-based LSTM networks for Automatic Music Composition"

10 / 10 papers shown

Title
Everybody Compose: Deep Beats To Music Conghao Shen Violet Z. Yao Yixin Liu 13 0 0 09 Jun 2023
Differential Music: Automated Music Generation Using LSTM Networks with Representation Based on Melodic and Harmonic Intervals Hooman Rafraf MGen 27 1 0 23 Aug 2021
Can GAN originate new electronic dance music genres? -- Generating novel rhythm patterns using GAN with Genre Ambiguity Loss N. Tokui MGen GAN 33 10 0 25 Nov 2020
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions Shulei Ji Jing Luo Xinyu Yang MGen 15 125 0 13 Nov 2020
Identity Recognition in Intelligent Cars with Behavioral Data and LSTM-ResNet Classifier Michael Hammann Maximilian Kraus S. Shafaei Alois C. Knoll 24 3 0 02 Mar 2020
Classical Music Prediction and Composition by means of Variational Autoencoders Daniel Rivero Enrique Fernández-Blanco A. Pazos DRL 33 6 0 21 Jun 2019
Deep Learning Techniques for Music Generation -- A Survey Jean-Pierre Briot Gaëtan Hadjeres F. Pachet MGen 39 298 0 05 Sep 2017
Music generation with variational recurrent autoencoder supported by history Ivan P. Yamshchikov Alexey Tikhonov GAN MGen 26 44 0 15 May 2017
Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints Stefan Lattner M. Grachten Gerhard Widmer 22 66 0 14 Dec 2016
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 34 353 0 14 Dec 2016