Speech Classification of Glottal Closure Instants in the Dypsa Algorithm

The Dynamic Programming Projected-Phase Slope Algorithm (DYPSA) detects glottal closure instants (GCI) in speech signals. We present an improvement in the algorithm in which a voiced/unvoiced/silence discrimination measure is applied in order to reduce the spurious Gels detected incorrectly for sil...

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Main Authors: Hania Maqsood, Patrick A. Naylor
Format: Article
Language:English
Published: National University of Sciences and Technology, Islamabad 2008-12-01
Series:NUST Journal of Engineering Sciences
Online Access:https://journals.nust.edu.pk/index.php/njes/article/view/71
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author Hania Maqsood
Patrick A. Naylor
author_facet Hania Maqsood
Patrick A. Naylor
author_sort Hania Maqsood
collection DOAJ
description The Dynamic Programming Projected-Phase Slope Algorithm (DYPSA) detects glottal closure instants (GCI) in speech signals. We present an improvement in the algorithm in which a voiced/unvoiced/silence discrimination measure is applied in order to reduce the spurious Gels detected incorrectly for silence and unvoiced speech. Speech classification is addressed by formulating a decision rule for the glottal closure instant candidates which classifies the candidates as voiced or non-voiced (the ones occurring in silence and unvoiced speech) on the basis of feature measurements extracted from the speech signal alone. The technique of Dynamic Programming is then employed in order to select an optimum set of epochs from the GCI candidates. The algorithm has been tested on the APLA WD speech database with 87.23% improvement achieved in reduction of spurious GCis.
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spelling doaj.art-319460366bd14793b3d68ac420b85df32023-04-02T23:24:39ZengNational University of Sciences and Technology, IslamabadNUST Journal of Engineering Sciences2070-99002411-63192008-12-011110.24949/njes.v1i1.71Speech Classification of Glottal Closure Instants in the Dypsa AlgorithmHania MaqsoodPatrick A. Naylor The Dynamic Programming Projected-Phase Slope Algorithm (DYPSA) detects glottal closure instants (GCI) in speech signals. We present an improvement in the algorithm in which a voiced/unvoiced/silence discrimination measure is applied in order to reduce the spurious Gels detected incorrectly for silence and unvoiced speech. Speech classification is addressed by formulating a decision rule for the glottal closure instant candidates which classifies the candidates as voiced or non-voiced (the ones occurring in silence and unvoiced speech) on the basis of feature measurements extracted from the speech signal alone. The technique of Dynamic Programming is then employed in order to select an optimum set of epochs from the GCI candidates. The algorithm has been tested on the APLA WD speech database with 87.23% improvement achieved in reduction of spurious GCis. https://journals.nust.edu.pk/index.php/njes/article/view/71
spellingShingle Hania Maqsood
Patrick A. Naylor
Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
NUST Journal of Engineering Sciences
title Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
title_full Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
title_fullStr Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
title_full_unstemmed Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
title_short Speech Classification of Glottal Closure Instants in the Dypsa Algorithm
title_sort speech classification of glottal closure instants in the dypsa algorithm
url https://journals.nust.edu.pk/index.php/njes/article/view/71
work_keys_str_mv AT haniamaqsood speechclassificationofglottalclosureinstantsinthedypsaalgorithm
AT patrickanaylor speechclassificationofglottalclosureinstantsinthedypsaalgorithm