Robust Pitch Estimation Using an Optimal Filter on Frequency Estimates

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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 languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014)
Number of pages5
PublisherIEEE
Publication date2014
Pages1557 - 1561
ISBN (Print)9781479946037
Publication statusPublished - 2014
EventEuropean Signal Processing Conference (EUSIPCO) - Lisbon, Portugal
Duration: 1 Sept 20145 Sept 2014

Conference

ConferenceEuropean Signal Processing Conference (EUSIPCO)
Country/TerritoryPortugal
CityLisbon
Period01/09/201405/09/2014

Keywords

  • Audio signal
  • harmonic model
  • pitch estimation
  • minimum variance distortionless response (MVDR)
  • maximum likelihood (ML)

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