Efficient Calculation of Spectral Tilt from Various LPC Parameters,

Abstract

A coarse measure of a discrete signal's power distribution vs. frequency is its 'spectral tilt,' which we define as the slope of least squares linear fit to the log power spectrum (0 < or = omega < or = (pi)rads/sec). One application of calculating spectral tilt is to help discriminate between voiced and unvoiced - silent time segments while processing sampled speech signals. When linear predictive coding (LPC) of speech is used to model its short time spectrum, it is computationally more efficient to calculate spectral tilt directly from the LPC model parameters instead of from the log power spectrum. In this paper we present methods for calculating spectral tilt from cepstral coefficients, pole values, and polynomial coefficients. These methods are all based on calculating spectral tilt as a weighted sum of cepstral coefficients.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA308580

Entities

People

  • E. Voncolln
  • R. Morris
  • V. Goncharoff

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Diffraction
  • Frequency
  • Polynomials
  • Power Distribution
  • Power Spectra
  • Spectra

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Speech Processing/Speech Recognition.