Accession Number:

ADA038701

Title:

Pole-Zero Modeling and its Applications to Speech Processing

Descriptive Note:

Technical rept.

Corporate Author:

UTAH UNIV SALT LAKE CITY SCHOOL OF COMPUTING

Personal Author(s):

Report Date:

1976-08-01

Pagination or Media Count:

109.0

Abstract:

Autocorrelation Pole-Zero modeling identifies the parameters of a rational transfer function Hz whose short time-lag autocorrelations either exactly match Autocorrelation Partial Realization--APR or closely APPROXIMATEAutocorrelation Prediction--AP those of a given spectrum. As a result, the spectrum of the Hz obtained from either method approximates the gross structure of the given spectrum. APR uses the Pade approximation to determine the denominator coefficients of Hz. In contrast, AP uses only Linear Prediction LP to determine both the denominator and numerator coefficients. Therefore, once the autocorrelation function of the given spectrum is known, AP uses only linear operations and no Fourier Transformations to determine the parameters of Hz. Moreover, the resulting rational transfer function is guaranteed to be minimum phase and consequently stable. A dynamic filtering process, based on Wiener filtering and Autocorrelation Prediction, was developed to suppress the background noise from degraded speech.

Subject Categories:

  • Cybernetics
  • Acoustics
  • Non-Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE