Advanced

Sparse Multi-Pitch and Panning Estimation of Stereophonic Signals

Kronvall, Ted LU ; Jakobsson, Andreas LU ; Weiss Hansen, Martin; Jensen, Jesper Rindom and Græsbøll Christensen, Mads (2016) 11th IMA International Conference on Mathematics in Signal Processing
Abstract (Swedish)
In this paper, we propose a novel multi-pitch estimator for stereophonic mixtures, allowing for pitch estimation on multi-channel audio even if the amplitude and delay panning parameters are unknown. The presented method does not require prior knowledge of the number of sources present in the mixture, nor on the number of harmonics in each source. The estimator is formulated using a sparse signal framework, and an efficient implementation using the ADMM is introduced. Numerical simulations indicate the preferable performance of the proposed method as compared to several commonly used multi-channel single pitch estimators, and a commonly used multi-pitch estimator.
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
host publication
Proceedings of the 11th IMA International Conference on Mathematics in Signal Processing
pages
5 pages
publisher
Institute of Mathematics & its Applications
conference name
11th IMA International Conference on Mathematics in Signal Processing
conference location
Birmingham, United Kingdom
conference dates
2016-12-12 - 2016-12-14
language
English
LU publication?
yes
id
1d35bbe4-1761-4840-939e-3787381b53de
date added to LUP
2017-10-05 14:43:15
date last changed
2019-03-08 02:33:51
@inproceedings{1d35bbe4-1761-4840-939e-3787381b53de,
  abstract     = {In this paper, we propose a novel multi-pitch estimator for stereophonic mixtures, allowing for pitch estimation on multi-channel audio even if the amplitude and delay panning parameters are unknown. The presented method does not require prior knowledge of the number of sources present in the mixture, nor on the number of harmonics in each source. The estimator is formulated using a sparse signal framework, and an efficient implementation using the ADMM is introduced. Numerical simulations indicate the preferable performance of the proposed method as compared to several commonly used multi-channel single pitch estimators, and a commonly used multi-pitch estimator.},
  author       = {Kronvall, Ted and Jakobsson, Andreas and Weiss Hansen, Martin and Jensen, Jesper Rindom and Græsbøll Christensen, Mads},
  language     = {eng},
  location     = {Birmingham, United Kingdom},
  pages        = {5},
  publisher    = {Institute of Mathematics & its Applications},
  title        = {Sparse Multi-Pitch and Panning Estimation of Stereophonic Signals},
  year         = {2016},
}