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Conference Paper: FAST AND ACCURATE PITCH DETECTION USING PATTERN RECOGNITION AND ADAPTIVE TIME-DOMAIN ANALYSIS.

TitleFAST AND ACCURATE PITCH DETECTION USING PATTERN RECOGNITION AND ADAPTIVE TIME-DOMAIN ANALYSIS.
Authors
Prezas, Dimitrios PPicone, JoeThomson, David L
Issue Date1986
Citation
Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1986, p. 109-112 How to Cite?
AbstractA method of determining pitch and voicing information from speech signals is presented. The algorithm, which uses time-domain analysis and pattern recognition techniques, is fast and yields accurate pitch and voicing estimates. A search routine is used to find periodicity in each of four signals derived from the speech waveform, and the results are combined to form a pitch estimate. The voicing decision uses linear discriminant analysis and declares speech frames voiced or unvoiced based on a weighted sum of 13 parameters. Performance comparisons with other pitch detectors are reported.
Persistent Identifierhttp://hdl.handle.net/10722/179564
ISSN
0736-7791
2023 SCImago Journal Rankings: 1.050

 

DC FieldValueLanguage
dc.contributor.authorPrezas, Dimitrios Pen_US
dc.contributor.authorPicone, Joeen_US
dc.contributor.authorThomson, David Len_US
dc.date.accessioned2012-12-19T09:59:52Z-
dc.date.available2012-12-19T09:59:52Z-
dc.date.issued1986en_US
dc.identifier.citationIcassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings, 1986, p. 109-112en_US
dc.identifier.issn0736-7791en_US
dc.identifier.urihttp://hdl.handle.net/10722/179564-
dc.description.abstractA method of determining pitch and voicing information from speech signals is presented. The algorithm, which uses time-domain analysis and pattern recognition techniques, is fast and yields accurate pitch and voicing estimates. A search routine is used to find periodicity in each of four signals derived from the speech waveform, and the results are combined to form a pitch estimate. The voicing decision uses linear discriminant analysis and declares speech frames voiced or unvoiced based on a weighted sum of 13 parameters. Performance comparisons with other pitch detectors are reported.en_US
dc.languageengen_US
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.titleFAST AND ACCURATE PITCH DETECTION USING PATTERN RECOGNITION AND ADAPTIVE TIME-DOMAIN ANALYSIS.en_US
dc.typeConference_Paperen_US
dc.identifier.emailThomson, David L: dthomson@hku.hken_US
dc.identifier.authorityThomson, David L=rp00788en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0022867955en_US
dc.identifier.spage109en_US
dc.identifier.epage112en_US
dc.identifier.scopusauthoridPrezas, Dimitrios P=6602510241en_US
dc.identifier.scopusauthoridPicone, Joe=7007035977en_US
dc.identifier.scopusauthoridThomson, David L=7202586830en_US
dc.identifier.issnl0736-7791-

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