Simultaneous estimation of chord progression and downbeats from an audio file

Hélène Papadopoulos, Geoffroy Peeters

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Harmony and metrical structure are some of the most important attributes of Western tonal music. In this paper, we present a new method for simultaneously estimating the chord progression and the downbeats from an audio file. For this, we propose a specific topology of hidden Markov models that allows us to model chords dependency on metrical structure. The model is evaluated on a dataset of 66 popular music songs from the Beatles and shows improvement over the state of the art.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages121-124
Number of pages4
DOIs
Publication statusPublished - 16 Sept 2008
Externally publishedYes
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: 31 Mar 20084 Apr 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Country/TerritoryUnited States
CityLas Vegas, NV
Period31/03/084/04/08

Keywords

  • Chord
  • Chroma
  • Downbeat
  • HMM
  • Metrical structure

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