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Music Generation

18 papers with code · Audio

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Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation

25 Apr 2018salu133445/musegan

Experimental results show that using binary neurons instead of HT or BS indeed leads to better results in a number of objective measures.

MUSIC GENERATION

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

19 Sep 2017salu133445/musegan

The three models, which differ in the underlying assumptions and accordingly the network architectures, are referred to as the jamming model, the composer model and the hybrid model.

MUSIC GENERATION

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

12 Jun 2018chrisdonahue/nesmdb

Existing research on music generation focuses on composition, but often ignores the expressive performance characteristics required for plausible renditions of resultant pieces.

MUSIC GENERATION

MelNet: A Generative Model for Audio in the Frequency Domain

4 Jun 2019fatchord/MelNet

Capturing high-level structure in audio waveforms is challenging because a single second of audio spans tens of thousands of timesteps.

AUDIO GENERATION MUSIC GENERATION SPEECH SYNTHESIS TEXT-TO-SPEECH SYNTHESIS

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

30 May 2017gablg1/ORGAN

In unsupervised data generation tasks, besides the generation of a sample based on previous observations, one would often like to give hints to the model in order to bias the generation towards desirable metrics.

MUSIC GENERATION

MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

31 Mar 2017RichardYang40148/MidiNet

We conduct a user study to compare the melody of eight-bar long generated by MidiNet and by Google's MelodyRNN models, each time using the same priming melody.

MUSIC GENERATION

SING: Symbol-to-Instrument Neural Generator

NeurIPS 2018 facebookresearch/SING

On the generalization task of synthesizing notes for pairs of pitch and instrument not seen during training, SING produces audio with significantly improved perceptual quality compared to a state-of-the-art autoencoder based on WaveNet as measured by a Mean Opinion Score (MOS), and is about 32 times faster for training and 2, 500 times faster for inference.

MUSIC GENERATION

LakhNES: Improving multi-instrumental music generation with cross-domain pre-training

10 Jul 2019chrisdonahue/LakhNES

We are interested in the task of generating multi-instrumental music scores.

MUSIC GENERATION TRANSFER LEARNING

Latent Normalizing Flows for Discrete Sequences

29 Jan 2019harvardnlp/TextFlow

Normalizing flows are a powerful class of generative models for continuous random variables, showing both strong model flexibility and the potential for non-autoregressive generation.

LANGUAGE MODELLING MUSIC GENERATION

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

30 Jul 2018liuhaumin/LeadsheetArrangement

A new recurrent convolutional generative model for the task is proposed, along with three new symbolic-domain harmonic features to facilitate learning from unpaired lead sheets and MIDIs.

MUSIC GENERATION