Automatic chord estimation from audio: A review of the state of the art
In this overview article, we review research on the task of Automatic Chord Estimation (ACE).
The major contributions from the last 14 years of research are summarized, with detailed …
The major contributions from the last 14 years of research are summarized, with detailed …
[PDF][PDF] Moving beyond feature design: Deep architectures and automatic feature learning in music informatics.
The short history of content-based music informatics research is dominated by hand-crafted
feature design, and our community has grown admittedly complacent with a few de facto …
feature design, and our community has grown admittedly complacent with a few de facto …
Rethinking automatic chord recognition with convolutional neural networks
EJ Humphrey, JP Bello - 2012 11th International Conference on …, 2012 - ieeexplore.ieee.org
Despite early success in automatic chord recognition, recent efforts are yielding diminishing
returns while basically iterating over the same fundamental approach. Here, we abandon …
returns while basically iterating over the same fundamental approach. Here, we abandon …
Open-source practices for music signal processing research: Recommendations for transparent, sustainable, and reproducible audio research
In the early years of music information retrieval (MIR), research problems were often
centered around conceptually simple tasks, and methods were evaluated on small …
centered around conceptually simple tasks, and methods were evaluated on small …
[PDF][PDF] Chord detection using deep learning
X Zhou, A Lerch - Proceedings of the 16th ISMIR …, 2015 - musicinformatics.gatech.edu
In this paper, we utilize deep learning to learn high-level features for audio chord detection.
The learned features, obtained by a deep network in bottleneck architecture, give promising …
The learned features, obtained by a deep network in bottleneck architecture, give promising …
An end-to-end machine learning system for harmonic analysis of music
We present a new system for the harmonic analysis of popular musical audio. It is focused
on chord estimation, although the proposed system additionally estimates the key sequence …
on chord estimation, although the proposed system additionally estimates the key sequence …
On the relative importance of individual components of chord recognition systems
Most chord recognition systems share a common architecture comprising two main stages:
feature extraction and pattern matching, and two optional sub stages: pre-filtering and post …
feature extraction and pattern matching, and two optional sub stages: pre-filtering and post …
[PDF][PDF] Four Timely Insights on Automatic Chord Estimation.
EJ Humphrey, JP Bello - ISMIR, 2015 - ismir2015.uma.es
Automatic chord estimation (ACE) is a hallmark research topic in content-based music
informatics, but like many other tasks, system performance appears to be converging to yet …
informatics, but like many other tasks, system performance appears to be converging to yet …
Learning a robust tonnetz-space transform for automatic chord recognition
Temporal pitch class profiles-commonly referred to as a chromagrams-are the de facto
standard signal representation for content-based methods of musical harmonic analysis …
standard signal representation for content-based methods of musical harmonic analysis …
Analyzing chroma feature types for automated chord recognition
The computer-based harmonic analysis of music recordings with the goal to automatically
extract chord labels directly from the given audio data constitutes a major task in music …
extract chord labels directly from the given audio data constitutes a major task in music …