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
Automatic Piano Transcription with Hierarchical Frequency-Time Transformer
This is especially helpful when determining the precise onset and offset for each note in the polyphonic piano content.
Cross-domain Neural Pitch and Periodicity Estimation
Pitch is a foundational aspect of our perception of audio signals.
M4Singer: a Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
m4singer/m4singer
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NIPS 2022
The lack of publicly available high-quality and accurately labeled datasets has long been a major bottleneck for singing voice synthesis (SVS).
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription
cwitkowitz/guitar-transcription-continuous
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In this paper, we present a GTT formulation that estimates continuous-valued pitch contours, grouping them according to their string and fret of origin.
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
lukewys/chamber-ensemble-generator
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We call this system the Chamber Ensemble Generator (CEG), and use it to generate a large dataset of chorales from four different chamber ensembles (CocoChorales).
Unaligned Supervision For Automatic Music Transcription in The Wild
benadar293/benadar293.github.io
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In order to overcome data collection barriers, previous AMT approaches attempt to employ musical scores in the form of a digitized version of the same song or piece.
Acoustics-specific Piano Velocity Estimation
This is due to 1) the different mappings between MIDI parameters used by different instruments, and 2) the fact that musicians adapt their way of playing to the surrounding acoustic environment.
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation
Despite its simplicity, benchmark results show our system's note estimation to be substantially better than a comparable baseline, and its frame-level accuracy to be only marginally below those of specialized state-of-the-art AMT systems.
A Perceptual Measure for Evaluating the Resynthesis of Automatic Music Transcriptions
This study focuses on the perception of music performances when contextual factors, such as room acoustics and instrument, change.
Semi-Supervised Convolutive NMF for Automatic Piano Transcription
Automatic Music Transcription, which consists in transforming an audio recording of a musical performance into symbolic format, remains a difficult Music Information Retrieval task.
