Pole-Zero modeling and its applications to speech processing

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Publication Type technical report
School or College College of Engineering
Department Computing, School of
Creator Atashroo, Mohammad Ali
Title Pole-Zero modeling and its applications to speech processing
Date 1976
Description Autocorrelation Pole-Zero modeling identifies the parameters of a rational transfer function H(z) whose short time-lag autocorrelations either exactly match (Autocorrelation partial Realization) or closely approximate (Autocorrelation Prediction) those of a given spectrum. As a result, the spectrum of the H(z) obtained from either method approximates the gross structure of the given spectrum. Autocorrelation Partial Realization (APR) uses the Pade approximation to determine the denominator coefficients of H(z). To compute the numerator coefficients of H(z), APR uses an iterative algorithm such as Fejer's or Newton-Raphson's. In contrast, Autocorrelation Prediction (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 H(z). Moreover, the resulting rational transfer function is guaranteed to be minimum phase and consequently stable . AP can also automatically determine the least (parsimonious) denominator and numerator orders required to model efficiently a given spectral envelope. A dynamic filtering process, based on Wiener filtering and Autocorrelation Prediction, was developed to suppress the background noise from degraded speech. More important, using AP, a Linear Predictive Vocoder was integrated into the so called "Pole-Zero Vocoder"(PZV). Computer simulations of both, the dynamic filtering process and the PZV were successfully used in speech processing.
Type Text
Publisher University of Utah
First Page 1
Last Page 97
Subject Pole-Zero modeling; Speech processing
Subject LCSH Speech processing systems
Language eng
Bibliographic Citation Atashroo, M. A. (1976). Pole-Zero modeling and its applications to speech processing. 1-97. UTEC-CSc-76-271.
Series University of Utah Computer Science Technical Report
Relation is Part of ARPANET
Rights Management ©University of Utah
Format Medium application/pdf
Format Extent 3,159,030 bytes
Identifier ir-main,16405
ARK ark:/87278/s6j399z6
Setname ir_uspace
ID 705096
Reference URL https://collections.lib.utah.edu/ark:/87278/s6j399z6
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