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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karimian-Azari, S. Jensen, J.R. Christensen, M.G. |
| Copyright Year | 2014 |
| Description | Author affiliation: Audio Anal. Lab., Aalborg Univ., Aalborg, Denmark (Karimian-Azari, S.; Jensen, J.R.; Christensen, M.G.) |
| 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. |
| Starting Page | 1557 |
| Ending Page | 1561 |
| File Size | 1088877 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780992862619 |
| ISSN | 20761465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-01 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | EURASIP |
| Subject Keyword | Pitch estimation Maximum likelihood estimation Audio signal Harmonic model Gaussian noise Harmonic analysis Frequency estimation Minimum variance distortionless response (MVDR) Colored noise Maximum likelihood (ML) |
| Content Type | Text |
| Resource Type | Article |
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