Chord Recognition
7 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Chord Recognition
RWC
Latest papers
Melody transcription via generative pre-training
The combination of generative pre-training and a new dataset for this task results in $77$% stronger performance on melody transcription relative to the strongest available baseline.
AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks
napulen/AugmentedNet
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ISMIR 2021
This layout is further enhanced by using synthetic training examples for data augmentation, and a greater number of tonal tasks to solve simultaneously via multitask learning.
Omnizart: A General Toolbox for Automatic Music Transcription
We present and release Omnizart, a new Python library that provides a streamlined solution to automatic music transcription (AMT).
A Bi-directional Transformer for Musical Chord Recognition
It turns out that the model was able to divide segments of chords by utilizing adaptive receptive field of the attention mechanism.
Chord Recognition in Symbolic Music: A Segmental CRF Model, Segment-Level Features, and Comparative Evaluations on Classical and Popular Music
We present a new approach to harmonic analysis that is trained to segment music into a sequence of chord spans tagged with chord labels.
Feature Learning for Chord Recognition: The Deep Chroma Extractor
We explore frame-level audio feature learning for chord recognition using artificial neural networks.
Explaining Deep Convolutional Neural Networks on Music Classification
Deep convolutional neural networks (CNNs) have been actively adopted in the field of music information retrieval, e. g. genre classification, mood detection, and chord recognition.
