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 …
20 years of automatic chord recognition from audio
In 1999, Fujishima published" Realtime Chord Recognition of Musical Sound: a System
using Common Lisp Music". This paper kickstarted an active research topic that has been …
using Common Lisp Music". This paper kickstarted an active research topic that has been …
Towards automatic extraction of harmony information from music signals
C Harte - 2010 - qmro.qmul.ac.uk
In this thesis we address the subject of automatic extraction of harmony information from
audio recordings. We focus on chord symbol recognition and methods for evaluating …
audio recordings. We focus on chord symbol recognition and methods for evaluating …
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 …
Joint estimation of chords and downbeats from an audio signal
H Papadopoulos, G Peeters - IEEE Transactions on Audio …, 2010 - ieeexplore.ieee.org
We present a new technique for joint estimation of the chord progression and the downbeats
from an audio file. Musical signals are highly structured in terms of harmony and rhythm. In …
from an audio file. Musical signals are highly structured in terms of harmony and rhythm. In …
Adaptive music retrieval–a state of the art
With the development of more and more sophisticated Music Information Retrieval
approaches, aspects of adaptivity are becoming an increasingly important research topic …
approaches, aspects of adaptivity are becoming an increasingly important research topic …
[書籍][B] Music data analysis: Foundations and applications
This book provides a comprehensive overview of music data analysis, from introductory
material to advanced concepts. It covers various applications including transcription and …
material to advanced concepts. It covers various applications including transcription and …
[PDF][PDF] Use of Hidden Markov Models and Factored Language Models for Automatic Chord Recognition.
M Khadkevich, M Omologo - ISMIR, 2009 - ismir2009.ismir.net
This paper focuses on automatic extraction of acoustic chord sequences from a musical
piece. Standard and factored language models are analyzed in terms of applicability to the …
piece. Standard and factored language models are analyzed in terms of applicability to the …
Comparing cqt and reassignment based chroma features for template-based automatic chord recognition
Automatic Chord Recognition (ACR) seeks to extract chords from musical signals. Recently,
deep neural network (DNN) approaches have become popular for this task, being employed …
deep neural network (DNN) approaches have become popular for this task, being employed …