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.
Originalspråk | engelska |
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Titel på värdpublikation | Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on |
Förlag | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Sidor | 331-335 |
Antal sidor | 5 |
DOI | |
Status | Published - 2017 juni 19 |
Evenemang | 42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 - New Orleans, USA Varaktighet: 2017 mars 5 → 2017 mars 9 http://www.ieee-icassp2017.org/ |
Konferens
Konferens | 42nd IEEE International Conference on Audio, Speech, and Signals Processing, ICASSP 2017 |
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Förkortad titel | ICASSP 2017 |
Land/Territorium | USA |
Ort | New Orleans |
Period | 2017/03/05 → 2017/03/09 |
Internetadress |
Ämnesklassifikation (UKÄ)
- Sannolikhetsteori och statistik
- Signalbehandling