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 language | English |
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Title of host publication | Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 331-335 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2017 Jun 19 |
Event | 42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 - New Orleans, United States Duration: 2017 Mar 5 → 2017 Mar 9 http://www.ieee-icassp2017.org/ |
Conference
Conference | 42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 |
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Abbreviated title | ICASSP 2017 |
Country/Territory | United States |
City | New Orleans |
Period | 2017/03/05 → 2017/03/09 |
Internet address |
Subject classification (UKÄ)
- Probability Theory and Statistics
- Signal Processing