Perceptually-motivated all-pole modeling

Venkatraman Atti; Andreas Spanias

doi:10.1109/LSP.2009.2021693

Perceptually-motivated all-pole modeling

Venkatraman Atti, Andreas Spanias

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

A new speech analysis-synthesis approach that is based on a perceptually-motivated all-pole (PMAP) modeling is described. The main idea is to directly estimate the perceptually relevant pole locations using an auditory excitation pattern-matching method. The all-pole model is synthesized using the perceptual poles and produces improved spectral fitting. We show that the prediction residual obtained from the PMAP analysis has lower perceptual loudness relative to that of the conventional LP.

Original language	English (US)
Pages (from-to)	695-698
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	8
DOIs	https://doi.org/10.1109/LSP.2009.2021693
State	Published - 2009

Keywords

Auditory excitation pattern
Linear prediction
Perceptual poles
Psychoacoustic principles
Speech analysis-synthesis

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/LSP.2009.2021693

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abstract = "A new speech analysis-synthesis approach that is based on a perceptually-motivated all-pole (PMAP) modeling is described. The main idea is to directly estimate the perceptually relevant pole locations using an auditory excitation pattern-matching method. The all-pole model is synthesized using the perceptual poles and produces improved spectral fitting. We show that the prediction residual obtained from the PMAP analysis has lower perceptual loudness relative to that of the conventional LP.",

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AB - A new speech analysis-synthesis approach that is based on a perceptually-motivated all-pole (PMAP) modeling is described. The main idea is to directly estimate the perceptually relevant pole locations using an auditory excitation pattern-matching method. The all-pole model is synthesized using the perceptual poles and produces improved spectral fitting. We show that the prediction residual obtained from the PMAP analysis has lower perceptual loudness relative to that of the conventional LP.

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KW - Psychoacoustic principles

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Perceptually-motivated all-pole modeling

Abstract

Keywords

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