Music Transcription

35 papers with code • 1 benchmarks • 8 datasets

Music transcription is the task of converting an acoustic musical signal into some form of music notation.

( Image credit: ISMIR 2015 Tutorial - Automatic Music Transcription )

Libraries

Use these libraries to find Music Transcription models and implementations

Most implemented papers

Deep Complex Networks

ChihebTrabelsi/deep_complex_networks ICLR 2018

Despite their attractive properties and potential for opening up entirely new neural architectures, complex-valued deep neural networks have been marginalized due to the absence of the building blocks required to design such models.

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

BShakhovsky/PolyphonicPianoTranscription ICLR 2019

Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at many different timescales.

Music transcription modelling and composition using deep learning

IraKorshunova/folk-rnn 29 Apr 2016

We apply deep learning methods, specifically long short-term memory (LSTM) networks, to music transcription modelling and composition.

Learning Features of Music from Scratch

benadar293/benadar293.github.io 29 Nov 2016

This paper introduces a new large-scale music dataset, MusicNet, to serve as a source of supervision and evaluation of machine learning methods for music research.

Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences

LUMII-Syslab/RSE 6 Apr 2020

Attention is a commonly used mechanism in sequence processing, but it is of O(n^2) complexity which prevents its application to long sequences.

The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy

KinWaiCheuk/ICPR2020 20 Oct 2020

We attempt to use only the pitch labels (together with spectrogram reconstruction loss) and explore how far this model can go without introducing supervised sub-tasks.

Sequence-to-Sequence Piano Transcription with Transformers

rlax59us/MT3-MAESTRO-pytorch 19 Jul 2021

Automatic Music Transcription has seen significant progress in recent years by training custom deep neural networks on large datasets.

MT3: Multi-Task Multitrack Music Transcription

magenta/mt3 ICLR 2022

Automatic Music Transcription (AMT), inferring musical notes from raw audio, is a challenging task at the core of music understanding.

An End-to-End Neural Network for Polyphonic Piano Music Transcription

9552nZ/SmartSheetMusic 7 Aug 2015

We compare performance of the neural network based acoustic models with two popular unsupervised acoustic models.

Deep convolutional neural networks for predominant instrument recognition in polyphonic music

iooops/CS221-Audio-Tagging 31 May 2016

We train our network from fixed-length music excerpts with a single-labeled predominant instrument and estimate an arbitrary number of predominant instruments from an audio signal with a variable length.