Power-Weighted LPC Formant Estimation

Research output: Contribution to journalArticlepeer-review

Abstract

A power-weighted formant frequency estimation procedure based on Linear Predictive Coding (LPC) is presented. It works by pre-emphasizing the dominant spectral components of an input signal, which allows a subsequent estimation step to extract formant frequencies with greater accuracy. The accuracy of traditional LPC formant estimation is improved by this new power-weighted formant estimator for different classes of synthetic signals and for speech. Power-weighted LPC significantly and reliably outperforms LPC and variants of LPC at the task of formant estimation using the VTR formants dataset, a database consisting of the Vocal Tract Resonance (VTR) frequency trajectories obtained by human experts for the first three formant frequencies. This performance gain is evident over a range of filter orders.

Original languageEnglish
Article number9268171
Pages (from-to)2207-2211
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume68
Issue number6
DOIs
Publication statusPublished - Jun 2021

Keywords

  • Least squares methods
  • all-pole filter
  • power weighted estimators
  • spectral estimation

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