A methodology based on wavelet packet for speaker transform recognition
A novel method based on wavelet packet transform (WPT) for speaker verification and identification is proposed in this paper. In this method, WPT, for its advantage in feature extraction in high frequency, is adopted in speech signal feature extraction. After the features are extracted, the artifici...
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| creator | Ya-Dong Zhang Fu-Yuan Sun |
| description | A novel method based on wavelet packet transform (WPT) for speaker verification and identification is proposed in this paper. In this method, WPT, for its advantage in feature extraction in high frequency, is adopted in speech signal feature extraction. After the features are extracted, the artificial neural network (ANN) is introduced as the classifier to verify and identify the speakers. The experimental results validate the effectiveness of the proposed method. |
| doi_str_mv | 10.1109/ICWAPR.2007.4420772 |
| format | Conference Proceeding |
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In this method, WPT, for its advantage in feature extraction in high frequency, is adopted in speech signal feature extraction. After the features are extracted, the artificial neural network (ANN) is introduced as the classifier to verify and identify the speakers. The experimental results validate the effectiveness of the proposed method.</description><identifier>ISSN: 2158-5695</identifier><identifier>ISBN: 9781424410651</identifier><identifier>ISBN: 1424410657</identifier><identifier>EISBN: 1424410665</identifier><identifier>EISBN: 9781424410668</identifier><identifier>DOI: 10.1109/ICWAPR.2007.4420772</identifier><language>eng</language><publisher>IEEE</publisher><subject>ANN ; Artificial neural networks ; Feature extraction ; Pattern recognition ; speaker ; Speaker recognition ; speaker verification ; Speech ; Testing ; Wavelet analysis ; Wavelet domain ; Wavelet packets ; Wavelet transforms ; WPT</subject><ispartof>2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007, Vol.2, p.767-771</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4420772$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4420772$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ya-Dong Zhang</creatorcontrib><creatorcontrib>Fu-Yuan Sun</creatorcontrib><title>A methodology based on wavelet packet for speaker transform recognition</title><title>2007 International Conference on Wavelet Analysis and Pattern Recognition</title><addtitle>ICWAPR</addtitle><description>A novel method based on wavelet packet transform (WPT) for speaker verification and identification is proposed in this paper. In this method, WPT, for its advantage in feature extraction in high frequency, is adopted in speech signal feature extraction. After the features are extracted, the artificial neural network (ANN) is introduced as the classifier to verify and identify the speakers. The experimental results validate the effectiveness of the proposed method.</description><subject>ANN</subject><subject>Artificial neural networks</subject><subject>Feature extraction</subject><subject>Pattern recognition</subject><subject>speaker</subject><subject>Speaker recognition</subject><subject>speaker verification</subject><subject>Speech</subject><subject>Testing</subject><subject>Wavelet analysis</subject><subject>Wavelet domain</subject><subject>Wavelet packets</subject><subject>Wavelet transforms</subject><subject>WPT</subject><issn>2158-5695</issn><isbn>9781424410651</isbn><isbn>1424410657</isbn><isbn>1424410665</isbn><isbn>9781424410668</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtKw0AYhUdUsNY8QTfzAolzvyxD0FooKKK4LJPOPzU2yYRMUPr2Bqxn83G-xVkchFaUFJQSe7-pPsqX14IRogshGNGaXaBbKpgQlCglL1Fmtfnvkl6hBaPS5FJZeYOylL7IHCG5EXyB1iXuYPqMPrbxcMK1S-Bx7PGP-4YWJjy4_XFGiCNOA7gjjHgaXZ9m0eER9vHQN1MT-zt0HVybIDtzid4fH96qp3z7vN5U5TZvqJZTzkUNHrzgXHFniNQ2WGWCA8MDE8qDUuBrpoyra2-pdz54bYIUzHPtwfIlWv3tNgCwG8amc-Npd_6B_wJhoFDS</recordid><startdate>200711</startdate><enddate>200711</enddate><creator>Ya-Dong Zhang</creator><creator>Fu-Yuan Sun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200711</creationdate><title>A methodology based on wavelet packet for speaker transform recognition</title><author>Ya-Dong Zhang ; Fu-Yuan Sun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-34beded43363a80579f968fae83f246de66edb268abbd91dadfd78f542d37de93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>ANN</topic><topic>Artificial neural networks</topic><topic>Feature extraction</topic><topic>Pattern recognition</topic><topic>speaker</topic><topic>Speaker recognition</topic><topic>speaker verification</topic><topic>Speech</topic><topic>Testing</topic><topic>Wavelet analysis</topic><topic>Wavelet domain</topic><topic>Wavelet packets</topic><topic>Wavelet transforms</topic><topic>WPT</topic><toplevel>online_resources</toplevel><creatorcontrib>Ya-Dong Zhang</creatorcontrib><creatorcontrib>Fu-Yuan Sun</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ya-Dong Zhang</au><au>Fu-Yuan Sun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A methodology based on wavelet packet for speaker transform recognition</atitle><btitle>2007 International Conference on Wavelet Analysis and Pattern Recognition</btitle><stitle>ICWAPR</stitle><date>2007-11</date><risdate>2007</risdate><volume>2</volume><spage>767</spage><epage>771</epage><pages>767-771</pages><issn>2158-5695</issn><isbn>9781424410651</isbn><isbn>1424410657</isbn><eisbn>1424410665</eisbn><eisbn>9781424410668</eisbn><abstract>A novel method based on wavelet packet transform (WPT) for speaker verification and identification is proposed in this paper. In this method, WPT, for its advantage in feature extraction in high frequency, is adopted in speech signal feature extraction. After the features are extracted, the artificial neural network (ANN) is introduced as the classifier to verify and identify the speakers. The experimental results validate the effectiveness of the proposed method.</abstract><pub>IEEE</pub><doi>10.1109/ICWAPR.2007.4420772</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007, Vol.2, p.767-771 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | ANN Artificial neural networks Feature extraction Pattern recognition speaker Speaker recognition speaker verification Speech Testing Wavelet analysis Wavelet domain Wavelet packets Wavelet transforms WPT |
| title | A methodology based on wavelet packet for speaker transform recognition |
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