Using Optimal Transport for Estimating Inharmonic Pitch Signals

Filip Elvander, Stefan Ingi Adalbjörnsson, Johan Karlsson, Andreas Jakobsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.
Original languageEnglish
Title of host publication Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages331-335
Number of pages5
DOIs
Publication statusPublished - 2017 Jun 19
Event42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 - New Orleans, United States
Duration: 2017 Mar 52017 Mar 9
http://www.ieee-icassp2017.org/

Conference

Conference42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017
Abbreviated titleICASSP 2017
Country/TerritoryUnited States
CityNew Orleans
Period2017/03/052017/03/09
Internet address

Subject classification (UKÄ)

  • Probability Theory and Statistics
  • Signal Processing

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