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Music Modeling

7 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. We conclude that the common association between sequence modeling and recurrent networks should be reconsidered, and convolutional networks should be regarded as a natural starting point for sequence modeling tasks.

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). Especially, we focus on more sophisticated units that implement a gating mechanism, such as a long short-term memory (LSTM) unit and a recently proposed gated recurrent unit (GRU).

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? This paper introduces stochastic recurrent neural networks which glue a deterministic recurrent neural network and a state space model together to form a stochastic and sequential neural generative model.

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. The novelty is simple: We use diagonal recurrent matrices instead of full.

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. Previous work in music generation has mainly been focused on creating a single melody.

MUSIC MODELING TIME SERIES

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. In recent years, these networks have become the state-of-the-art models for a variety of machine learning problems.

MUSIC MODELING SPEECH RECOGNITION

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

ICLR 2019 Kangmo/kogenta

Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at many different timescales. Fortunately, most music is also highly structured and can be represented as discrete note events played on musical instruments.

MUSIC MODELING PIANO MUSIC MODELING