Abstract
In many scenarios, a periodic signal of interest is often contaminated by different types of noise that may render many existing pitch estimation methods suboptimal, e.g., due to an incorrect white Gaussian noise assumption. In this paper, a method is established to estimate the pitch of such signals from unconstrained frequency estimates (UFEs). A minimum variance distortionless response (MVDR) method is proposed as an optimal solution to minimize the variance of UFEs considering the constraint of integer harmonics. The MVDR filter is designed based on noise statistics making it robust against different noise situations. The simulation results confirm that the proposed MVDR method outperforms the state-of-the-art weighted least squares (WLS) pitch estimator in colored noise and has robust pitch estimates against missing harmonics in some time-frames.
Original language | English |
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Title of host publication | 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014) |
Number of pages | 5 |
Publisher | IEEE |
Publication date | 2014 |
Pages | 1557 - 1561 |
ISBN (Print) | 9781479946037 |
Publication status | Published - 2014 |
Event | European Signal Processing Conference (EUSIPCO) - Lisbon, Portugal Duration: 1 Sept 2014 → 5 Sept 2014 |
Conference
Conference | European Signal Processing Conference (EUSIPCO) |
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Country/Territory | Portugal |
City | Lisbon |
Period | 01/09/2014 → 05/09/2014 |
Keywords
- Audio signal
- harmonic model
- pitch estimation
- minimum variance distortionless response (MVDR)
- maximum likelihood (ML)