Chord Recognition
7 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Chord Recognition
RWC
Latest papers with no code
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training
Jointist consists of an instrument recognition module that conditions the other two modules: a transcription module that outputs instrument-specific piano rolls, and a source separation module that utilizes instrument information and transcription results.
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications
However, its novelty necessitates a new perspective on how to evaluate such a model.
Chord Recognition- Music and Audio Information Retrieval
All of the findings indicate that modern rock and metal music can be analysed, despite its complexity, but that further research is needed in this area to make it useful.
Improving the Classification of Rare Chords with Unlabeled Data
In this work, we explore techniques to improve performance for rare classes in the task of Automatic Chord Recognition (ACR).
An efficient supervised dictionary learning method for audio signal recognition
Motivated by this need of a principled framework across domain applications for machine listening, we propose a generic and data-driven representation learning approach.
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling
Common temporal models for automatic chord recognition model chord changes on a frame-wise basis.
Improved Chord Recognition by Combining Duration and Harmonic Language Models
Chord recognition systems typically comprise an acoustic model that predicts chords for each audio frame, and a temporal model that casts these predictions into labelled chord segments.
A Large-Scale Study of Language Models for Chord Prediction
We conduct a large-scale study of language models for chord prediction.
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition
Chord recognition systems use temporal models to post-process frame-wise chord preditions from acoustic models.
A Fully Convolutional Deep Auditory Model for Musical Chord Recognition
We show that the learned auditory system extracts musically interpretable features, and that the proposed chord recognition system achieves results on par or better than state-of-the-art algorithms.
