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Sparse Chroma Estimation for Harmonic Non-Stationary Audio

Juhlin, Maria ; Kronvall, Ted LU ; Swärd, Johan LU and Jakobsson, Andreas LU orcid (2015) 23rd European Signal Processing Conference, 2015 p.26-30
Abstract
In this work, we extend on our recently proposed block sparse chroma estimator, such that the method also allows for signals with time-varying envelopes. Using a spline-based amplitude modulation of the chroma dictionary, the refined estimator is able to model longer frames than our earlier approach, as well as to model highly time-localized signals, and signals containing sudden bursts, such as trumpet or trombone signals, thus retaining more signal information than other methods for chroma estimation. The performance of the proposed estimator is evaluated on a recorded trumpet signal, clearly illustrating the improved performance, as compared to other used techniques.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
chromagram, amplitude modulation, block sparsity, convex optimization, ADMM
host publication
Signal Processing Conference (EUSIPCO), 2015 23rd European
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
23rd European Signal Processing Conference, 2015
conference location
Nice, France
conference dates
2015-08-31 - 2015-09-04
external identifiers
  • scopus:84963967602
DOI
10.1109/EUSIPCO.2015.7362338
language
English
LU publication?
yes
id
6578e77c-c7fb-4080-84e9-0f02b0eb99dd (old id 8046470)
date added to LUP
2016-04-04 11:40:08
date last changed
2022-01-29 22:14:54
@inproceedings{6578e77c-c7fb-4080-84e9-0f02b0eb99dd,
  abstract     = {{In this work, we extend on our recently proposed block sparse chroma estimator, such that the method also allows for signals with time-varying envelopes. Using a spline-based amplitude modulation of the chroma dictionary, the refined estimator is able to model longer frames than our earlier approach, as well as to model highly time-localized signals, and signals containing sudden bursts, such as trumpet or trombone signals, thus retaining more signal information than other methods for chroma estimation. The performance of the proposed estimator is evaluated on a recorded trumpet signal, clearly illustrating the improved performance, as compared to other used techniques.}},
  author       = {{Juhlin, Maria and Kronvall, Ted and Swärd, Johan and Jakobsson, Andreas}},
  booktitle    = {{Signal Processing Conference (EUSIPCO), 2015 23rd European}},
  keywords     = {{chromagram; amplitude modulation; block sparsity; convex optimization; ADMM}},
  language     = {{eng}},
  pages        = {{26--30}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Sparse Chroma Estimation for Harmonic Non-Stationary Audio}},
  url          = {{https://lup.lub.lu.se/search/files/5827446/8046471.pdf}},
  doi          = {{10.1109/EUSIPCO.2015.7362338}},
  year         = {{2015}},
}