# mt3

**Repository Path**: unidream/mt3

## Basic Information

- **Project Name**: mt3
- **Description**: MT3: Multi-Task Multitrack Music Transcription
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-04-01
- **Last Updated**: 2026-04-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MT3: Multi-Task Multitrack Music Transcription

MT3 is a multi-instrument automatic music transcription model that uses the [T5X framework](https://github.com/google-research/t5x).

This is not an officially supported Google product.

## Transcribe your own audio

Use our [colab notebook](https://colab.research.google.com/github/magenta/mt3/blob/main/mt3/colab/music_transcription_with_transformers.ipynb) to
transcribe audio files of your choosing.  You can use a pretrained checkpoint from
either a) the piano transcription model described in [our ISMIR 2021 paper](https://archives.ismir.net/ismir2021/paper/000030.pdf)
or b) the multi-instrument transcription model described in
[our ICLR 2022 paper](https://openreview.net/pdf?id=iMSjopcOn0p).


## Train a model

For now, we do not (easily) support training.  If you like, you can try to
follow the [T5X training instructions](https://github.com/google-research/t5x#training)
and use one of the tasks defined in [tasks.py](mt3/tasks.py).