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Using Optimal Transport for Estimating Inharmonic Pitch Signals

Elvander, Filip LU ; Adalbjörnsson, Stefan Ingi LU ; Karlsson, Johan and Jakobsson, Andreas LU (2017) 42nd IEEE International Conference on Audio, Speech, and Signals Processing (ICASSP 2017) In Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on p.331-335
Abstract
In this work, we propose a novel multi-pitch estimation technique that is robust with respect to the inharmonicity commonly occurring in many applications. The method does not require any a priori knowledge of the number of signal sources, the number of harmonics of each source, nor the structure or scope of any possibly occurring inharmonicity. Formulated as a minimum transport distance problem, the proposed method finds an estimate of the present pitches by mapping any found spectral line to the closest harmonic structure. The resulting optimization is a convex and highly tractable linear programming problem. The preferable per- formance of the proposed method is illustrated using both simulated and real audio signals.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on
pages
5 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
42nd IEEE International Conference on Audio, Speech, and Signals Processing (ICASSP 2017)
external identifiers
  • scopus:85023779451
DOI
10.1109/ICASSP.2017.7952172
language
English
LU publication?
yes
id
f27fa31f-353c-4834-89dd-7f9aec49849d
date added to LUP
2017-02-18 11:06:15
date last changed
2018-01-07 11:50:56
@inproceedings{f27fa31f-353c-4834-89dd-7f9aec49849d,
  abstract     = {In this work, we propose a novel multi-pitch estimation technique that is robust with respect to the inharmonicity commonly occurring in many applications. The method does not require any a priori knowledge of the number of signal sources, the number of harmonics of each source, nor the structure or scope of any possibly occurring inharmonicity. Formulated as a minimum transport distance problem, the proposed method finds an estimate of the present pitches by mapping any found spectral line to the closest harmonic structure. The resulting optimization is a convex and highly tractable linear programming problem. The preferable per- formance of the proposed method is illustrated using both simulated and real audio signals.},
  author       = {Elvander, Filip and Adalbjörnsson, Stefan Ingi and Karlsson, Johan and Jakobsson, Andreas},
  booktitle    = { Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on},
  language     = {eng},
  month        = {06},
  pages        = {331--335},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Using Optimal Transport for Estimating Inharmonic Pitch Signals},
  url          = {http://dx.doi.org/10.1109/ICASSP.2017.7952172},
  year         = {2017},
}