Performance enhancement of speaker identification systems using speech encryption and cancelable features
Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote a...
Gespeichert in:
| Veröffentlicht in: | International journal of speech technology 2017-12, Vol.20 (4), p.977-1004 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1004 |
|---|---|
| container_issue | 4 |
| container_start_page | 977 |
| container_title | International journal of speech technology |
| container_volume | 20 |
| creator | Soliman, Naglaa F. Mostfa, Zhraa El-Samie, Fathi E. Abd Abdalla, Mahmoud I. |
| description | Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote access systems with speaker identification concepts by introducing efficient cryptosystems to achieve a large degree of security in these remote access speaker identification systems. The proposed approaches depend on chaos theory to maintain a low sensitivity to noise effect. Moreover, the concepts of cancelable biometrics are developed in this paper for more secure speaker identification. As known in the literature, cancelable image biometrics are used to save the features of the users from being stolen. If a similar approach is adopted in wireless access speaker identification systems as in this paper, the security can be enhanced to a great extent. |
| doi_str_mv | 10.1007/s10772-017-9435-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1958290239</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1958290239</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-ee71103c7b1db31e998e5062de25d09f21978f55ec943bdeee1a6cda1de7a2823</originalsourceid><addsrcrecordid>eNp1UD1PwzAQtRBIlMIPYLPEHPA5TRyPqOJLqgQDzJZjn9uUxgl2MrS_HocysDC909177-4eIdfAboExcReBCcEzBiKTi7zIDidkBkXqVADsNNV5BRlfQHlOLmLcMsakkHxGmjcMrgut9gYp-s2ELfqBdo7GHvUnBtrY1GhcY_TQdJ7GfRywjXSMjV9PJDSbJDVh3__MtbfUTD47Xe-QOtTDGDBekjOndxGvfnFOPh4f3pfP2er16WV5v8pMDuWQIYp0cW5EDbbOAaWssGAlt8gLy6TjIEXligJN-rO2iAi6NFaDRaF5xfM5uTn69qH7GjEOatuNwaeVCmRRccl4LhMLjiwTuhgDOtWHptVhr4CpKVF1TFSlRNWUqDokDT9qYuL6NYY_zv-KvgHEHXxW</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1958290239</pqid></control><display><type>article</type><title>Performance enhancement of speaker identification systems using speech encryption and cancelable features</title><source>SpringerLink Journals - AutoHoldings</source><creator>Soliman, Naglaa F. ; Mostfa, Zhraa ; El-Samie, Fathi E. Abd ; Abdalla, Mahmoud I.</creator><creatorcontrib>Soliman, Naglaa F. ; Mostfa, Zhraa ; El-Samie, Fathi E. Abd ; Abdalla, Mahmoud I.</creatorcontrib><description>Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote access systems with speaker identification concepts by introducing efficient cryptosystems to achieve a large degree of security in these remote access speaker identification systems. The proposed approaches depend on chaos theory to maintain a low sensitivity to noise effect. Moreover, the concepts of cancelable biometrics are developed in this paper for more secure speaker identification. As known in the literature, cancelable image biometrics are used to save the features of the users from being stolen. If a similar approach is adopted in wireless access speaker identification systems as in this paper, the security can be enhanced to a great extent.</description><identifier>ISSN: 1381-2416</identifier><identifier>EISSN: 1572-8110</identifier><identifier>DOI: 10.1007/s10772-017-9435-z</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Artificial Intelligence ; Biometrics ; Cepstral analysis ; Chaos theory ; Computer systems ; Cryptography ; Encryption ; Engineering ; Identification systems ; Neural networks ; Noise ; Noise sensitivity ; Performance enhancement ; Remote searching ; Security ; Signal,Image and Speech Processing ; Social Sciences ; Speaker identification</subject><ispartof>International journal of speech technology, 2017-12, Vol.20 (4), p.977-1004</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-ee71103c7b1db31e998e5062de25d09f21978f55ec943bdeee1a6cda1de7a2823</citedby><cites>FETCH-LOGICAL-c316t-ee71103c7b1db31e998e5062de25d09f21978f55ec943bdeee1a6cda1de7a2823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10772-017-9435-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10772-017-9435-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Soliman, Naglaa F.</creatorcontrib><creatorcontrib>Mostfa, Zhraa</creatorcontrib><creatorcontrib>El-Samie, Fathi E. Abd</creatorcontrib><creatorcontrib>Abdalla, Mahmoud I.</creatorcontrib><title>Performance enhancement of speaker identification systems using speech encryption and cancelable features</title><title>International journal of speech technology</title><addtitle>Int J Speech Technol</addtitle><description>Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote access systems with speaker identification concepts by introducing efficient cryptosystems to achieve a large degree of security in these remote access speaker identification systems. The proposed approaches depend on chaos theory to maintain a low sensitivity to noise effect. Moreover, the concepts of cancelable biometrics are developed in this paper for more secure speaker identification. As known in the literature, cancelable image biometrics are used to save the features of the users from being stolen. If a similar approach is adopted in wireless access speaker identification systems as in this paper, the security can be enhanced to a great extent.</description><subject>Artificial Intelligence</subject><subject>Biometrics</subject><subject>Cepstral analysis</subject><subject>Chaos theory</subject><subject>Computer systems</subject><subject>Cryptography</subject><subject>Encryption</subject><subject>Engineering</subject><subject>Identification systems</subject><subject>Neural networks</subject><subject>Noise</subject><subject>Noise sensitivity</subject><subject>Performance enhancement</subject><subject>Remote searching</subject><subject>Security</subject><subject>Signal,Image and Speech Processing</subject><subject>Social Sciences</subject><subject>Speaker identification</subject><issn>1381-2416</issn><issn>1572-8110</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1UD1PwzAQtRBIlMIPYLPEHPA5TRyPqOJLqgQDzJZjn9uUxgl2MrS_HocysDC909177-4eIdfAboExcReBCcEzBiKTi7zIDidkBkXqVADsNNV5BRlfQHlOLmLcMsakkHxGmjcMrgut9gYp-s2ELfqBdo7GHvUnBtrY1GhcY_TQdJ7GfRywjXSMjV9PJDSbJDVh3__MtbfUTD47Xe-QOtTDGDBekjOndxGvfnFOPh4f3pfP2er16WV5v8pMDuWQIYp0cW5EDbbOAaWssGAlt8gLy6TjIEXligJN-rO2iAi6NFaDRaF5xfM5uTn69qH7GjEOatuNwaeVCmRRccl4LhMLjiwTuhgDOtWHptVhr4CpKVF1TFSlRNWUqDokDT9qYuL6NYY_zv-KvgHEHXxW</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Soliman, Naglaa F.</creator><creator>Mostfa, Zhraa</creator><creator>El-Samie, Fathi E. Abd</creator><creator>Abdalla, Mahmoud I.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7T9</scope></search><sort><creationdate>20171201</creationdate><title>Performance enhancement of speaker identification systems using speech encryption and cancelable features</title><author>Soliman, Naglaa F. ; Mostfa, Zhraa ; El-Samie, Fathi E. Abd ; Abdalla, Mahmoud I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-ee71103c7b1db31e998e5062de25d09f21978f55ec943bdeee1a6cda1de7a2823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Artificial Intelligence</topic><topic>Biometrics</topic><topic>Cepstral analysis</topic><topic>Chaos theory</topic><topic>Computer systems</topic><topic>Cryptography</topic><topic>Encryption</topic><topic>Engineering</topic><topic>Identification systems</topic><topic>Neural networks</topic><topic>Noise</topic><topic>Noise sensitivity</topic><topic>Performance enhancement</topic><topic>Remote searching</topic><topic>Security</topic><topic>Signal,Image and Speech Processing</topic><topic>Social Sciences</topic><topic>Speaker identification</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Soliman, Naglaa F.</creatorcontrib><creatorcontrib>Mostfa, Zhraa</creatorcontrib><creatorcontrib>El-Samie, Fathi E. Abd</creatorcontrib><creatorcontrib>Abdalla, Mahmoud I.</creatorcontrib><collection>CrossRef</collection><collection>Linguistics and Language Behavior Abstracts (LLBA)</collection><jtitle>International journal of speech technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Soliman, Naglaa F.</au><au>Mostfa, Zhraa</au><au>El-Samie, Fathi E. Abd</au><au>Abdalla, Mahmoud I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance enhancement of speaker identification systems using speech encryption and cancelable features</atitle><jtitle>International journal of speech technology</jtitle><stitle>Int J Speech Technol</stitle><date>2017-12-01</date><risdate>2017</risdate><volume>20</volume><issue>4</issue><spage>977</spage><epage>1004</epage><pages>977-1004</pages><issn>1381-2416</issn><eissn>1572-8110</eissn><abstract>Biometric systems based on speech features constitute a new and evolving trend in security. This paper is concerned with speaker identification systems. It studies traditional speaker identification systems based on cepstral analysis and neural classification. The paper develops the idea of remote access systems with speaker identification concepts by introducing efficient cryptosystems to achieve a large degree of security in these remote access speaker identification systems. The proposed approaches depend on chaos theory to maintain a low sensitivity to noise effect. Moreover, the concepts of cancelable biometrics are developed in this paper for more secure speaker identification. As known in the literature, cancelable image biometrics are used to save the features of the users from being stolen. If a similar approach is adopted in wireless access speaker identification systems as in this paper, the security can be enhanced to a great extent.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10772-017-9435-z</doi><tpages>28</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1381-2416 |
| ispartof | International journal of speech technology, 2017-12, Vol.20 (4), p.977-1004 |
| issn | 1381-2416 1572-8110 |
| language | eng |
| recordid | cdi_proquest_journals_1958290239 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Artificial Intelligence Biometrics Cepstral analysis Chaos theory Computer systems Cryptography Encryption Engineering Identification systems Neural networks Noise Noise sensitivity Performance enhancement Remote searching Security Signal,Image and Speech Processing Social Sciences Speaker identification |
| title | Performance enhancement of speaker identification systems using speech encryption and cancelable features |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T23%3A58%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Performance%20enhancement%20of%20speaker%20identification%20systems%20using%20speech%20encryption%20and%20cancelable%20features&rft.jtitle=International%20journal%20of%20speech%20technology&rft.au=Soliman,%20Naglaa%20F.&rft.date=2017-12-01&rft.volume=20&rft.issue=4&rft.spage=977&rft.epage=1004&rft.pages=977-1004&rft.issn=1381-2416&rft.eissn=1572-8110&rft_id=info:doi/10.1007/s10772-017-9435-z&rft_dat=%3Cproquest_cross%3E1958290239%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1958290239&rft_id=info:pmid/&rfr_iscdi=true |