Using Optimal Transport for Estimating Inharmonic Pitch Signals
(2017) 42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f27fa31f-353c-4834-89dd-7f9aec49849d
- author
- Elvander, Filip LU ; Adalbjörnsson, Stefan Ingi LU ; Karlsson, Johan and Jakobsson, Andreas LU
- organization
- publishing date
- 2017-06-19
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference location
- New Orleans, United States
- conference dates
- 2017-03-05 - 2017-03-09
- 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
- 2022-04-01 06:42:40
@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}}, doi = {{10.1109/ICASSP.2017.7952172}}, year = {{2017}}, }