Speaker verification using phoneme-based neural tree networks and phonetic weighting scoring method
A text-dependent speaker verification system based on neural tree network (NTN) phoneme model and phonetic weighting scoring method is presented. The system uses a set of concatenated NTNs trained on phonemes to model a password. In contrast to the conventional stochastic approaches which model the...
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| creator | Han-Sheng Liou Mammone, R.J. |
| description | A text-dependent speaker verification system based on neural tree network (NTN) phoneme model and phonetic weighting scoring method is presented. The system uses a set of concatenated NTNs trained on phonemes to model a password. In contrast to the conventional stochastic approaches which model the phonemes by hidden Markov models (HMMs), the new approach utilizes the discriminative training scheme to train a NTN for each phoneme. The phoneme-based NTN is trained to discriminate the phoneme spoken by the speaker with respect to those spoken by other speakers. A weighted scoring method depending on the phoneme's ability for speaker verification is used to improve the performance. The proposed system is evaluated by experiments on the YOHO database. Performance improvements are obtained over conventional techniques. |
| doi_str_mv | 10.1109/NNSP.1995.514895 |
| format | Conference Proceeding |
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The system uses a set of concatenated NTNs trained on phonemes to model a password. In contrast to the conventional stochastic approaches which model the phonemes by hidden Markov models (HMMs), the new approach utilizes the discriminative training scheme to train a NTN for each phoneme. The phoneme-based NTN is trained to discriminate the phoneme spoken by the speaker with respect to those spoken by other speakers. A weighted scoring method depending on the phoneme's ability for speaker verification is used to improve the performance. The proposed system is evaluated by experiments on the YOHO database. Performance improvements are obtained over conventional techniques.</description><identifier>ISBN: 9780780327399</identifier><identifier>ISBN: 078032739X</identifier><identifier>DOI: 10.1109/NNSP.1995.514895</identifier><language>eng</language><publisher>IEEE</publisher><subject>Classification tree analysis ; Concatenated codes ; Decision trees ; Feedforward systems ; Hidden Markov models ; Neural networks ; Neurons ; Speech ; Stochastic processes</subject><ispartof>Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing, 1995, p.213-222</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/514895$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/514895$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Han-Sheng Liou</creatorcontrib><creatorcontrib>Mammone, R.J.</creatorcontrib><title>Speaker verification using phoneme-based neural tree networks and phonetic weighting scoring method</title><title>Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing</title><addtitle>NNSP</addtitle><description>A text-dependent speaker verification system based on neural tree network (NTN) phoneme model and phonetic weighting scoring method is presented. The system uses a set of concatenated NTNs trained on phonemes to model a password. In contrast to the conventional stochastic approaches which model the phonemes by hidden Markov models (HMMs), the new approach utilizes the discriminative training scheme to train a NTN for each phoneme. The phoneme-based NTN is trained to discriminate the phoneme spoken by the speaker with respect to those spoken by other speakers. A weighted scoring method depending on the phoneme's ability for speaker verification is used to improve the performance. The proposed system is evaluated by experiments on the YOHO database. Performance improvements are obtained over conventional techniques.</description><subject>Classification tree analysis</subject><subject>Concatenated codes</subject><subject>Decision trees</subject><subject>Feedforward systems</subject><subject>Hidden Markov models</subject><subject>Neural networks</subject><subject>Neurons</subject><subject>Speech</subject><subject>Stochastic processes</subject><isbn>9780780327399</isbn><isbn>078032739X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1995</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9TlELgjAYHERQlO_R0_6A5rKhe46iJwnsXZZ-6lI32WbSv0-x546DO7g7OIR2xPcI8dkhjpO7RxijHiWniNEFclgY-SODYxgwtkKOMS9_BKURDekaZUkHvAaN36BFITJuhZK4N0KWuKuUhBbcJzeQYwm95g22GmD0dlC6NpjLfK5ZkeEBRFnZaWkypSdtwVYq36JlwRsDzk83aH-9PM43VwBA2mnRcv1J58fB3_AL2dtHJQ</recordid><startdate>1995</startdate><enddate>1995</enddate><creator>Han-Sheng Liou</creator><creator>Mammone, R.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1995</creationdate><title>Speaker verification using phoneme-based neural tree networks and phonetic weighting scoring method</title><author>Han-Sheng Liou ; Mammone, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_5148953</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Classification tree analysis</topic><topic>Concatenated codes</topic><topic>Decision trees</topic><topic>Feedforward systems</topic><topic>Hidden Markov models</topic><topic>Neural networks</topic><topic>Neurons</topic><topic>Speech</topic><topic>Stochastic processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Han-Sheng Liou</creatorcontrib><creatorcontrib>Mammone, R.J.</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>Han-Sheng Liou</au><au>Mammone, R.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Speaker verification using phoneme-based neural tree networks and phonetic weighting scoring method</atitle><btitle>Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing</btitle><stitle>NNSP</stitle><date>1995</date><risdate>1995</risdate><spage>213</spage><epage>222</epage><pages>213-222</pages><isbn>9780780327399</isbn><isbn>078032739X</isbn><abstract>A text-dependent speaker verification system based on neural tree network (NTN) phoneme model and phonetic weighting scoring method is presented. The system uses a set of concatenated NTNs trained on phonemes to model a password. In contrast to the conventional stochastic approaches which model the phonemes by hidden Markov models (HMMs), the new approach utilizes the discriminative training scheme to train a NTN for each phoneme. The phoneme-based NTN is trained to discriminate the phoneme spoken by the speaker with respect to those spoken by other speakers. A weighted scoring method depending on the phoneme's ability for speaker verification is used to improve the performance. The proposed system is evaluated by experiments on the YOHO database. Performance improvements are obtained over conventional techniques.</abstract><pub>IEEE</pub><doi>10.1109/NNSP.1995.514895</doi></addata></record> |
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| ispartof | Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing, 1995, p.213-222 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Classification tree analysis Concatenated codes Decision trees Feedforward systems Hidden Markov models Neural networks Neurons Speech Stochastic processes |
| title | Speaker verification using phoneme-based neural tree networks and phonetic weighting scoring method |
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