Classification of speech accents with neural networks
Several neural network models including competitive learning and counter propagation are developed to identify individuals as either native or non-native speakers based on their accents. Some important speech features, such as pitch period and the first three formant frequencies, are used as inputs...
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| container_end_page | 4486 vol.7 |
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| container_volume | 7 |
| creator | Chan, M.V. Xin Feng Heinen, J.A. Niederjohn, R.J. |
| description | Several neural network models including competitive learning and counter propagation are developed to identify individuals as either native or non-native speakers based on their accents. Some important speech features, such as pitch period and the first three formant frequencies, are used as inputs to the neural networks. Comparison results based on experiments are also presented. The primary contribution is that it provides a feasible approach for an assisting automatic speech recognition system in an environment in which different English accents may be used.< > |
| doi_str_mv | 10.1109/ICNN.1994.374994 |
| format | Conference Proceeding |
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Some important speech features, such as pitch period and the first three formant frequencies, are used as inputs to the neural networks. Comparison results based on experiments are also presented. The primary contribution is that it provides a feasible approach for an assisting automatic speech recognition system in an environment in which different English accents may be used.< ></description><identifier>ISBN: 078031901X</identifier><identifier>ISBN: 9780780319011</identifier><identifier>DOI: 10.1109/ICNN.1994.374994</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial neural networks ; Automatic speech recognition ; Computer architecture ; Counting circuits ; Frequency ; Neural networks ; Pattern recognition ; Speech processing ; Speech recognition ; Supervised learning</subject><ispartof>Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994, Vol.7, p.4483-4486 vol.7</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/374994$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/374994$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chan, M.V.</creatorcontrib><creatorcontrib>Xin Feng</creatorcontrib><creatorcontrib>Heinen, J.A.</creatorcontrib><creatorcontrib>Niederjohn, R.J.</creatorcontrib><title>Classification of speech accents with neural networks</title><title>Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)</title><addtitle>ICNN</addtitle><description>Several neural network models including competitive learning and counter propagation are developed to identify individuals as either native or non-native speakers based on their accents. 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The primary contribution is that it provides a feasible approach for an assisting automatic speech recognition system in an environment in which different English accents may be used.< ></description><subject>Artificial neural networks</subject><subject>Automatic speech recognition</subject><subject>Computer architecture</subject><subject>Counting circuits</subject><subject>Frequency</subject><subject>Neural networks</subject><subject>Pattern recognition</subject><subject>Speech processing</subject><subject>Speech recognition</subject><subject>Supervised learning</subject><isbn>078031901X</isbn><isbn>9780780319011</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1994</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj81KxDAURgMiqOPsxVVfoPXeJultllL8GRjGjQOzG2J6w0RrOzSRwbc3MH6bs_s4R4g7hAoRzMOq22wqNEZVklTGhbgBakGiAdxdiWWMn5CnNIKka6G7wcYYfHA2hWksJl_EI7M7FNY5HlMsTiEdipF_ZjtkpNM0f8VbcentEHn5z4XYPj-9d6_l-u1l1T2uy4CgUsmN9U5pQ4y-tdR_kCHf1zILaTLaesqi5Fj2rWtqIEIJtWkc974GJVEuxP35NzDz_jiHbzv_7s9h8g8pukMz</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>Chan, M.V.</creator><creator>Xin Feng</creator><creator>Heinen, J.A.</creator><creator>Niederjohn, R.J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1994</creationdate><title>Classification of speech accents with neural networks</title><author>Chan, M.V. ; Xin Feng ; Heinen, J.A. ; Niederjohn, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-e6afc4597e1f8a7db797fd230785795af71997ce3d8c62077130296cedf204313</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Artificial neural networks</topic><topic>Automatic speech recognition</topic><topic>Computer architecture</topic><topic>Counting circuits</topic><topic>Frequency</topic><topic>Neural networks</topic><topic>Pattern recognition</topic><topic>Speech processing</topic><topic>Speech recognition</topic><topic>Supervised learning</topic><toplevel>online_resources</toplevel><creatorcontrib>Chan, M.V.</creatorcontrib><creatorcontrib>Xin Feng</creatorcontrib><creatorcontrib>Heinen, J.A.</creatorcontrib><creatorcontrib>Niederjohn, 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>Chan, M.V.</au><au>Xin Feng</au><au>Heinen, J.A.</au><au>Niederjohn, R.J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Classification of speech accents with neural networks</atitle><btitle>Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)</btitle><stitle>ICNN</stitle><date>1994</date><risdate>1994</risdate><volume>7</volume><spage>4483</spage><epage>4486 vol.7</epage><pages>4483-4486 vol.7</pages><isbn>078031901X</isbn><isbn>9780780319011</isbn><abstract>Several neural network models including competitive learning and counter propagation are developed to identify individuals as either native or non-native speakers based on their accents. Some important speech features, such as pitch period and the first three formant frequencies, are used as inputs to the neural networks. Comparison results based on experiments are also presented. The primary contribution is that it provides a feasible approach for an assisting automatic speech recognition system in an environment in which different English accents may be used.< ></abstract><pub>IEEE</pub><doi>10.1109/ICNN.1994.374994</doi></addata></record> |
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| identifier | ISBN: 078031901X |
| ispartof | Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994, Vol.7, p.4483-4486 vol.7 |
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| language | eng |
| recordid | cdi_ieee_primary_374994 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial neural networks Automatic speech recognition Computer architecture Counting circuits Frequency Neural networks Pattern recognition Speech processing Speech recognition Supervised learning |
| title | Classification of speech accents with neural networks |
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