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Music Modeling

8 papers with code · Music

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An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

4 Mar 2018locuslab/TCN

Our results indicate that a simple convolutional architecture outperforms canonical recurrent networks such as LSTMs across a diverse range of tasks and datasets, while demonstrating longer effective memory.

LANGUAGE MODELLING MACHINE TRANSLATION MUSIC MODELING SEQUENTIAL IMAGE CLASSIFICATION

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

11 Dec 2014michaelfarrell76/End-To-End-Generative-Dialogue

In this paper we compare different types of recurrent units in recurrent neural networks (RNNs).

MUSIC MODELING

Sequential Neural Models with Stochastic Layers

NeurIPS 2016 marcofraccaro/srnn

How can we efficiently propagate uncertainty in a latent state representation with recurrent neural networks?

MUSIC MODELING

Diagonal RNNs in Symbolic Music Modeling

18 Apr 2017ycemsubakan/diagonal_rnns

In this paper, we propose a new Recurrent Neural Network (RNN) architecture.

MUSIC MODELING

Generative timbre spaces: regularizing variational auto-encoders with perceptual metrics

Conference 2018 acids-ircam/variational-timbre

Based on this, we introduce a method for descriptor-based synthesis and show that we can control the descriptors of an instrument while keeping its timbre structure.

AUDIO CLASSIFICATION AUDIO GENERATION MUSIC INFORMATION RETRIEVAL MUSIC MODELING

LSTM: A Search Space Odyssey

13 Mar 2015tmatha/lstm

Several variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995.

MUSIC MODELING SPEECH RECOGNITION

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

ICLR 2019 junhoyeo/magenta-school-song

Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at many different timescales.

MUSIC MODELING PIANO MUSIC MODELING

Deep Learning for Music

15 Jun 2016sarthak15169/Deep-Music

Our goal is to be able to build a generative model from a deep neural network architecture to try to create music that has both harmony and melody and is passable as music composed by humans.

DENSITY ESTIMATION MUSIC MODELING TIME SERIES