Using Optimal Transport for Estimating Inharmonic Pitch Signals

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

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på värdpublikation Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor331-335
Antal sidor5
DOI
StatusPublished - 2017 juni 19
Evenemang42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 - New Orleans, USA
Varaktighet: 2017 mars 52017 mars 9
http://www.ieee-icassp2017.org/

Konferens

Konferens42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017
Förkortad titelICASSP 2017
Land/TerritoriumUSA
OrtNew Orleans
Period2017/03/052017/03/09
Internetadress

Ämnesklassifikation (UKÄ)

  • Sannolikhetsteori och statistik
  • Signalbehandling

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