An Efficient F0 Determination Algorithm Based on the Implicit Calculation of the Autocorrelation of the Temporal Excitation Signal
Identifieur interne : 002578 ( Crin/Corpus ); précédent : 002577; suivant : 002579An Efficient F0 Determination Algorithm Based on the Implicit Calculation of the Autocorrelation of the Temporal Excitation Signal
Auteurs : Joseph Di Martino ; Yves LaprieSource :
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Abstract
In this paper we are presenting a new formulation for determining the fundamental frequency. The evaluation of the pitch is a very difficult problem mainly because of the great variability and irregularity of the speech signals. The algorithm we are presenting is original so far as it relies on the implicit calculation of the autocorrelation of the temporal excitation signal. We have tested our algorithm on the Bagshaw database, created at the Centre for Speech Technology Research at Edinburgh, which is primarily dedicated to the evaluation of algorithms estimating the fundamental frequency of speech. The results of our experiments show that our approach is very reliable.
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="1070">An Efficient F0 Determination Algorithm Based on the Implicit Calculation of the Autocorrelation of the Temporal Excitation Signal</title></titleStmt><publicationStmt><idno type="RBID">CRIN:di_martino99a</idno><date when="1999" year="1999">1999</date><idno type="wicri:Area/Crin/Corpus">002578</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">An Efficient F0 Determination Algorithm Based on the Implicit Calculation of the Autocorrelation of the Temporal Excitation Signal</title><author><name sortKey="Di Martino, Joseph" sort="Di Martino, Joseph" uniqKey="Di Martino J" first="Joseph" last="Di Martino">Joseph Di Martino</name></author><author><name sortKey="Laprie, Yves" sort="Laprie, Yves" uniqKey="Laprie Y" first="Yves" last="Laprie">Yves Laprie</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>autocorrelation</term><term>excitation signal</term><term>frequency filtering</term><term>fundamental frequency</term><term>pitch</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="2142">In this paper we are presenting a new formulation for determining the fundamental frequency. The evaluation of the pitch is a very difficult problem mainly because of the great variability and irregularity of the speech signals. The algorithm we are presenting is original so far as it relies on the implicit calculation of the autocorrelation of the temporal excitation signal. We have tested our algorithm on the Bagshaw database, created at the Centre for Speech Technology Research at Edinburgh, which is primarily dedicated to the evaluation of algorithms estimating the fundamental frequency of speech. The results of our experiments show that our approach is very reliable.</div></front></TEI><BibTex type="inproceedings"><ref>di_martino99a</ref><crinnumber>99-R-104</crinnumber><category>3</category><equipe>PAROLE</equipe><author><e>Di Martino, Joseph</e><e>Laprie, Yves</e></author><title>An Efficient F0 Determination Algorithm Based on the Implicit Calculation of the Autocorrelation of the Temporal Excitation Signal</title><booktitle>{6th European Conference on Speech Communication and Technology - EUROSPEECH'99, Budapest, Hungary}</booktitle><year>1999</year><month>Sep</month><url>http://www.loria.fr/publications/1999/99-R-104/99-R-104.ps</url><keywords><e>excitation signal</e><e>pitch</e><e>fundamental frequency</e><e>autocorrelation</e><e>frequency filtering</e></keywords><abstract>In this paper we are presenting a new formulation for determining the fundamental frequency. The evaluation of the pitch is a very difficult problem mainly because of the great variability and irregularity of the speech signals. The algorithm we are presenting is original so far as it relies on the implicit calculation of the autocorrelation of the temporal excitation signal. We have tested our algorithm on the Bagshaw database, created at the Centre for Speech Technology Research at Edinburgh, which is primarily dedicated to the evaluation of algorithms estimating the fundamental frequency of speech. The results of our experiments show that our approach is very reliable.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
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