MT3: Multi-Task Multitrack Music Transcription

Last update: Dec 29, 2022

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Deep Learning mt3

Overview

MT3: Multi-Task Multitrack Music Transcription

MT3 is a multi-instrument automatic music transcription model that uses the T5X framework.

This is not an officially supported Google product.

Transcribe your own audio

Use our colab notebook to transcribe WAV files of your choosing. You can use a pretrained checkpoint from either a) the piano transcription model described in our ISMIR 2021 paper or b) the multi-instrument transcription model described in our ICLR 2022 paper.

Train a model

For now, we do not (easily) support training. If you like, you can try to follow the T5X training instructions and use one of the tasks defined in tasks.py.

Owner

Magenta

An open source research project exploring the role of machine learning as a tool in the creative process.

GitHub Repository

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MT3: Multi-Task Multitrack Music Transcription

Related tags

Overview

MT3: Multi-Task Multitrack Music Transcription

Transcribe your own audio

Train a model

Owner

Magenta

Official Implementation of Swapping Autoencoder for Deep Image Manipulation (NeurIPS 2020)

Discretized Integrated Gradients for Explaining Language Models (EMNLP 2021)

For visualizing the dair-v2x-i dataset

Implementation of Hierarchical Transformer Memory (HTM) for Pytorch

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

PyTorch implementation of paper "StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement" (ICCV 2021 Oral)

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Constraint-based geometry sketcher for blender

Official Implement of CVPR 2021 paper “Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting”

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