Sparse Chroma Estimation for Harmonic Audio

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Abstract

This work treats the estimation of the chromagram for harmonic audio signals using a block sparse reconstruction framework. Chroma has been used for decades as a key tool in audio analysis, and is typically formed using a Fourier-based framework that maps the fundamental frequency of a musical tone to its corresponding chroma. Such an approach often leads to problems with tone ambiguity, which we avoid by taking into account the harmonic structure and perceptional attributes in music. The performance of the proposed method is evaluated using real audio files, clearly showing preferable performance as compared to other commonly used methods.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • chromagram, block sparsity, total variation, convex optimization, ADMM
Original languageEnglish
Title of host publication2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages579-583
ISBN (Electronic)978-1-4673-6997-8
Publication statusPublished - 2015 Apr 19
Publication categoryResearch
Peer-reviewedYes
Event2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015) - Brisbane, Australia
Duration: 2015 Apr 192015 Apr 25

Publication series

NameProceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing
PublisherIEEE
ISSN (Electronic)2379-190X

Conference

Conference2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)
CountryAustralia
CityBrisbane
Period2015/04/192015/04/25

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