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Speech signal resampling by arbitrary rate

Identifieur interne : 007219 ( Main/Exploration ); précédent : 007218; suivant : 007220

Speech signal resampling by arbitrary rate

Auteurs : Sen Zhang [France] ; Yves Laprie [France]

Source :

RBID : Hal:inria-00107718

Descripteurs français

Abstract

In this paper we discussed issues related to resampling speech signal at arbitrary frequency by using interpolation methods. The implementation of four resampling methods, 1. direct interpolation, 2. Lagrange interpolation, 3. sine interpolation, and 4. Taylor series, is presented. These methods have been tested with some speech data and various resampling frequencies. The quality of the resampled speech signal is analyzed and evaluated by human listening. The experiment results showed that either for upsampling or downsampling, sine and Lagrange methods generate additive high frequency noise like metal sounds, but the direct and Taylor methods do not present such problems. The resampled speech by the direct and Taylor methods sounds more natural than that by sine and Langrange methods.

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Le document en format XML

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<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Institut national polytechnique de Lorraine</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
</affiliation>
</author>
</analytic>
</biblStruct>
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<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="fr">
<term>parole</term>
<term>sampling</term>
<term>signal processing</term>
<term>speech</term>
<term>traitement du signal</term>
<term>échantillonnage</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>échantillonnage</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">In this paper we discussed issues related to resampling speech signal at arbitrary frequency by using interpolation methods. The implementation of four resampling methods, 1. direct interpolation, 2. Lagrange interpolation, 3. sine interpolation, and 4. Taylor series, is presented. These methods have been tested with some speech data and various resampling frequencies. The quality of the resampled speech signal is analyzed and evaluated by human listening. The experiment results showed that either for upsampling or downsampling, sine and Lagrange methods generate additive high frequency noise like metal sounds, but the direct and Taylor methods do not present such problems. The resampled speech by the direct and Taylor methods sounds more natural than that by sine and Langrange methods.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Nancy</li>
</settlement>
<orgName>
<li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree>
<country name="France">
<region name="Grand Est">
<name sortKey="Zhang, Sen" sort="Zhang, Sen" uniqKey="Zhang S" first="Sen" last="Zhang">Sen Zhang</name>
</region>
<name sortKey="Laprie, Yves" sort="Laprie, Yves" uniqKey="Laprie Y" first="Yves" last="Laprie">Yves Laprie</name>
</country>
</tree>
</affiliations>
</record>

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