Using optimal transport for estimating inharmonic pitch signals
2017 (Engelska)Ingår i: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 331-335, artikel-id 7952172Konferensbidrag (Refereegranskat)
Abstract [en]
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 performance of the proposed method is illustrated using both simulated and real audio signals.
Ort, förlag, år, upplaga, sidor
Institute of Electrical and Electronics Engineers (IEEE), 2017. s. 331-335, artikel-id 7952172
Serie
ICASSP, IEEE International CConference on Acoustics, Speech and Signal Processing - Proceedings, ISSN 1520-6149, E-ISSN 2379-190X
Nyckelord [en]
convex optimization, frequency clustering, inharmonicity, Multi-pitch estimation, optimal transport distance
Nationell ämneskategori
Beräkningsmatematik
Identifikatorer
URN: urn:nbn:se:kth:diva-212112DOI: 10.1109/ICASSP.2017.7952172ISI: 000414286200067Scopus ID: 2-s2.0-85023779451ISBN: 9781509041176 (tryckt)OAI: oai:DiVA.org:kth-212112DiVA, id: diva2:1133662
Konferens
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, Hilton New Orleans RiversideNew Orleans, United States, 5 March 2017 through 9 March 2017
Forskningsfinansiär
VetenskapsrådetCarl Tryggers stiftelse för vetenskaplig forskning
Anmärkning
QC 20170816
2017-08-162017-08-162024-03-18Bibliografiskt granskad