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Sparse Chroma Estimation for Harmonic Audio

Kronvall, Ted LU ; Juhlin, Maria LU ; Adalbjörnsson, Stefan Ingi LU and Jakobsson, Andreas LU (2015) 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015) In Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing p.579-583
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
chromagram, block sparsity, total variation, convex optimization, ADMM
in
Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing
pages
579 - 583
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015)
external identifiers
  • wos:000368452400116
  • scopus:84946079229
ISSN
2379-190X
ISBN
978-1-4673-6997-8
DOI
10.1109/ICASSP.2015.7178035
language
English
LU publication?
yes
id
e540815d-9d1a-40b1-8259-471d22c5de26 (old id 8046460)
date added to LUP
2015-10-02 11:11:08
date last changed
2017-07-30 04:14:03
@inproceedings{e540815d-9d1a-40b1-8259-471d22c5de26,
  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.},
  author       = {Kronvall, Ted and Juhlin, Maria and Adalbjörnsson, Stefan Ingi and Jakobsson, Andreas},
  booktitle    = {Proceedings of the IEEE International Conference on Acoustic, Speech and Signal Processing},
  isbn         = {978-1-4673-6997-8},
  issn         = {2379-190X},
  keyword      = {chromagram,block sparsity,total variation,convex optimization,ADMM},
  language     = {eng},
  month        = {04},
  pages        = {579--583},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Sparse Chroma Estimation for Harmonic Audio},
  url          = {http://dx.doi.org/10.1109/ICASSP.2015.7178035},
  year         = {2015},
}