Music Transcription
36 papers with code • 2 benchmarks • 9 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 implementationsDatasets
MAESTRO
MusicNet
Music21
Slakh2100
ASAP (Aligned Scores and Performances)
CocoChorales
JS Fake Chorales
EGDB
ErhuPT
Latest papers with no code
MR-MT3: Memory Retaining Multi-Track Music Transcription to Mitigate Instrument Leakage
This paper presents enhancements to the MT3 model, a state-of-the-art (SOTA) token-based multi-instrument automatic music transcription (AMT) model.
High Resolution Guitar Transcription via Domain Adaptation
Focusing on the guitar, we refine this approach to training on score data using a dataset of commercially available score-audio pairs.
Engraving Oriented Joint Estimation of Pitch Spelling and Local and Global Keys
The evaluation of this number is coupled with an estimation of the global key and some local keys, one for each measure.
Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion
To tackle this issue, we propose a transcription model that does not require any MIDI-audio paired data through the utilization of scalable synthetic audio for pre-training and adversarial domain confusion using unannotated real audio.
Improving Drumming Robot Via Attention Transformer Network
In this paper, we focus on the topic of drumming robots in entertainment.
Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription
Several works have explored multi-instrument transcription as a means to bolster the performance of models on low-resource tasks, but these methods face the same data availability issues.
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks
With the development of information technology, robot technology has made great progress in various fields.
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization
By combining related objects, unsupervised machine learning techniques aim to reveal the underlying patterns in a data set.
Multitrack Music Transcription with a Time-Frequency Perceiver
Multitrack music transcription aims to transcribe a music audio input into the musical notes of multiple instruments simultaneously.
Transfer of knowledge among instruments in automatic music transcription
Achieved results prove that using synthesized data for training may be a good base for pretraining general-purpose models, where the task of transcription is not focused on one instrument.
