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Music Generation

26 papers with code · Audio

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Greatest papers with code

Jukebox: A Generative Model for Music

Preprint 2020 openai/jukebox

We introduce Jukebox, a model that generates music with singing in the raw audio domain.

MUSIC GENERATION

NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting

23 Jul 2019djipco/webmidi

Inpainting-based generative modeling allows for stimulating human-machine interactions by letting users perform stylistically coherent local editions to an object using a statistical model.

MUSIC GENERATION

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

ICLR 2020 fatchord/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

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

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

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