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Determining normal infants' level-of-distress from cry sounds
In this research a set of ten "cry phonemes" is introduced to effectively characterize cry signals from normal infants. The cry phonemes of recorded cries are correlated with subjective parental assessments of the infants' distress levels. From these correlations a single parameter, t...
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container_end_page | 1096 vol.2 |
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container_start_page | 1094 |
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creator | Qiaobing Xie Ward, R.K. Laszlo, C.A. |
description | In this research a set of ten "cry phonemes" is introduced to effectively characterize cry signals from normal infants. The cry phonemes of recorded cries are correlated with subjective parental assessments of the infants' distress levels. From these correlations a single parameter, the H-value, is found as a reliable indicator to the infants' level-of-distress. The H-value can be measured and manipulated efficiently by using computerized signal analysis. This makes it suitable for computer-based automatic infant cry analysis.< > |
doi_str_mv | 10.1109/CCECE.1993.332267 |
format | conference_proceeding |
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The cry phonemes of recorded cries are correlated with subjective parental assessments of the infants' distress levels. From these correlations a single parameter, the H-value, is found as a reliable indicator to the infants' level-of-distress. The H-value can be measured and manipulated efficiently by using computerized signal analysis. This makes it suitable for computer-based automatic infant cry analysis.< ></description><identifier>ISBN: 0780324161</identifier><identifier>ISBN: 9780780314436</identifier><identifier>ISBN: 9780780324169</identifier><identifier>ISBN: 0780314433</identifier><identifier>DOI: 10.1109/CCECE.1993.332267</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computerized monitoring ; Deafness ; Nervous system ; Pediatrics ; Performance analysis ; Physiology ; Psychiatry ; Psychology ; Signal analysis ; Time frequency analysis</subject><ispartof>Proceedings of Canadian Conference on Electrical and Computer Engineering, 1993, p.1094-1096 vol.2</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/332267$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/332267$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Qiaobing Xie</creatorcontrib><creatorcontrib>Ward, R.K.</creatorcontrib><creatorcontrib>Laszlo, C.A.</creatorcontrib><title>Determining normal infants' level-of-distress from cry sounds</title><title>Proceedings of Canadian Conference on Electrical and Computer Engineering</title><addtitle>CCECE</addtitle><description>In this research a set of ten "cry phonemes" is introduced to effectively characterize cry signals from normal infants. The cry phonemes of recorded cries are correlated with subjective parental assessments of the infants' distress levels. From these correlations a single parameter, the H-value, is found as a reliable indicator to the infants' level-of-distress. The H-value can be measured and manipulated efficiently by using computerized signal analysis. This makes it suitable for computer-based automatic infant cry analysis.< ></description><subject>Computerized monitoring</subject><subject>Deafness</subject><subject>Nervous system</subject><subject>Pediatrics</subject><subject>Performance analysis</subject><subject>Physiology</subject><subject>Psychiatry</subject><subject>Psychology</subject><subject>Signal analysis</subject><subject>Time frequency analysis</subject><isbn>0780324161</isbn><isbn>9780780314436</isbn><isbn>9780780324169</isbn><isbn>0780314433</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKAzEYRgMiVGsfQFfZucqY-2XhQsbxAoVuui8x-SORmYwko9C3t1C_zVkcOPAhdMtoxxh1D30_9EPHnBOdEJxrc4GuqbFUcMk0W6FNa1_0NKmosvwKPT7DAnXKJZdPXOY6-RHnknxZ2j0e4RdGMicSc1sqtIZTnScc6hG3-afEdoMukx8bbP65RvuXYd-_ke3u9b1_2pJs3UKCi1GC5kbyEFSkzMgUlI1grNXeWxOocV4nfvI0UmcYk1qp5MDyDyedWKO7czYDwOG75snX4-H8T_wBdKNF2A</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Qiaobing Xie</creator><creator>Ward, R.K.</creator><creator>Laszlo, C.A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Determining normal infants' level-of-distress from cry sounds</title><author>Qiaobing Xie ; Ward, R.K. ; Laszlo, C.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-c9dd4e62742cc5d0174fc58de7886aa87c079a6f242c0d097114655f9e82b9493</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Computerized monitoring</topic><topic>Deafness</topic><topic>Nervous system</topic><topic>Pediatrics</topic><topic>Performance analysis</topic><topic>Physiology</topic><topic>Psychiatry</topic><topic>Psychology</topic><topic>Signal analysis</topic><topic>Time frequency analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Qiaobing Xie</creatorcontrib><creatorcontrib>Ward, R.K.</creatorcontrib><creatorcontrib>Laszlo, C.A.</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 Xplore</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>Qiaobing Xie</au><au>Ward, R.K.</au><au>Laszlo, C.A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Determining normal infants' level-of-distress from cry sounds</atitle><btitle>Proceedings of Canadian Conference on Electrical and Computer Engineering</btitle><stitle>CCECE</stitle><date>1993</date><risdate>1993</risdate><spage>1094</spage><epage>1096 vol.2</epage><pages>1094-1096 vol.2</pages><isbn>0780324161</isbn><isbn>9780780314436</isbn><isbn>9780780324169</isbn><isbn>0780314433</isbn><abstract>In this research a set of ten "cry phonemes" is introduced to effectively characterize cry signals from normal infants. The cry phonemes of recorded cries are correlated with subjective parental assessments of the infants' distress levels. From these correlations a single parameter, the H-value, is found as a reliable indicator to the infants' level-of-distress. The H-value can be measured and manipulated efficiently by using computerized signal analysis. This makes it suitable for computer-based automatic infant cry analysis.< ></abstract><pub>IEEE</pub><doi>10.1109/CCECE.1993.332267</doi></addata></record> |
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subjects | Computerized monitoring Deafness Nervous system Pediatrics Performance analysis Physiology Psychiatry Psychology Signal analysis Time frequency analysis |
title | Determining normal infants' level-of-distress from cry sounds |
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