Remi

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remi is an Audio & Music tool that enables beat-based modeling and generation of expressive pop piano compositions. It uses a novel event representation called REMI to convert MIDI scores into text-like discrete tokens.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is remi?

remi, which stands for REvamped MIDI-derived events, is an innovative event representation designed for converting MIDI scores into discrete, text-like tokens. This approach provides sequence models with a metrical context, enhancing their ability to model rhythmic patterns in music. Utilizing REMI, the system trains a Transformer-XL model to generate minute-long Pop piano music that is expressive, coherent, and structurally clear in terms of rhythm and harmony, without requiring post-processing. The model also offers control over local tempo changes and chord progression, making it a powerful tool for music composition and research.

Best used for

Ideal for music researchers and developers who need to generate expressive pop piano compositions, experiment with novel music event representations, and explore beat-based modeling. Especially valuable for those seeking to create coherent and rhythmically structured music without extensive post-processing.

Common actions

generate music

compose piano music

model music rhythm

convert MIDI

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Capabilities

Key features

MIDI to REMI conversion
Beat-based music modeling
Expressive piano generation
Tempo and chord control
Pre-trained checkpoints
Sample generation

Target Audience

content creator

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is REMI and how does it improve music generation?

REMI (REvamped MIDI-derived events) is a new event representation that converts MIDI scores into text-like discrete tokens. It provides sequence models with a metrical context, allowing for more expressive, coherent, and rhythmically structured pop piano compositions compared to traditional MIDI-like representations.

Can I control aspects of the generated music with remi?

Yes, the remi model offers controllability over local tempo changes and chord progression. This allows users to guide the generation process and achieve specific musical outcomes, enhancing the creative potential of the tool.

What are the system requirements to run remi?

To run remi, you will need Python 3.6 (Anaconda recommended), tensorflow-gpu 1.14.0, and miditoolkit. Pre-trained checkpoints are available for download to facilitate sample generation and experimentation.

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