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An end-to-end machine learning system for harmonic analysis of music

An end-to-end machine learning system for harmonic analysis of music

25 July 2011
Y. Ni
Matt McVicar
Raúl Santos-Rodríguez
T. D. Bie
ArXiv (abs)PDFHTML

Papers citing "An end-to-end machine learning system for harmonic analysis of music"

5 / 5 papers shown
Title
ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
Muhammad Waseem Akram
Stefano Dettori
V. Colla
Giorgio Buttazzo
90
0
0
17 Feb 2025
DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment
  and Integration of Crowd-Sourced Symbolic Representations
DECIBEL: Improving Audio Chord Estimation for Popular Music by Alignment and Integration of Crowd-Sourced Symbolic Representations
D. Odekerken
Hendrik Vincent Koops
A. Volk
39
3
0
22 Feb 2020
Adversarial Learning for Improved Onsets and Frames Music Transcription
Adversarial Learning for Improved Onsets and Frames Music Transcription
Jong Wook Kim
J. P. Bello
163
49
0
20 Jun 2019
End-to-End Musical Key Estimation Using a Convolutional Neural Network
End-to-End Musical Key Estimation Using a Convolutional Neural Network
Filip Korzeniowski
Gerhard Widmer
58
44
0
09 Jun 2017
On the Futility of Learning Complex Frame-Level Language Models for
  Chord Recognition
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition
Filip Korzeniowski
Gerhard Widmer
38
22
0
01 Feb 2017
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