{"id":"https://openalex.org/W2903224046","doi":"https://doi.org/10.1109/icacci.2018.8554815","title":"Personality Identification Using Auditory Nerve Modelling of Human Speech","display_name":"Personality Identification Using Auditory Nerve Modelling of Human Speech","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903224046","doi":"https://doi.org/10.1109/icacci.2018.8554815","mag":"2903224046"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2018.8554815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022019564","display_name":"K Gokul","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K Gokul","raw_affiliation_strings":["Department of Electronics & Communication Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101462441","display_name":"S. Lalitha","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Lalitha","raw_affiliation_strings":["Department of Electronics & Communication Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022019564"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.3319,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58883017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1731","last_page":"1737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8008759021759033},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6210564374923706},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6088296175003052},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.5741595029830933},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.541122317314148},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5382726788520813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5249355435371399},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5162632465362549},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.478794664144516},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4409346878528595},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4390576481819153},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13757264614105225},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.08850407600402832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8008759021759033},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6210564374923706},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6088296175003052},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.5741595029830933},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.541122317314148},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5382726788520813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5249355435371399},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5162632465362549},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.478794664144516},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4409346878528595},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4390576481819153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13757264614105225},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08850407600402832},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2018.8554815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2018.8554815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W147964346","https://openalex.org/W1501669607","https://openalex.org/W1986032978","https://openalex.org/W1993507917","https://openalex.org/W1999354778","https://openalex.org/W2021736981","https://openalex.org/W2074788634","https://openalex.org/W2341459366","https://openalex.org/W2423024114","https://openalex.org/W2580937268","https://openalex.org/W2583666947","https://openalex.org/W2591183831","https://openalex.org/W2604025027","https://openalex.org/W2774853474","https://openalex.org/W2787782253","https://openalex.org/W2928604842","https://openalex.org/W6605980550","https://openalex.org/W6760817185"],"related_works":["https://openalex.org/W3176621072","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2726838704","https://openalex.org/W2995475466","https://openalex.org/W4210430843","https://openalex.org/W4220802396","https://openalex.org/W2356785732","https://openalex.org/W20047544","https://openalex.org/W4378417285"],"abstract_inverted_index":{"Identifying":[0],"human":[1,44,48],"personality":[2,13,49],"is":[3,26,71,93,98],"one":[4],"among":[5],"the":[6,51,57,61,90,106],"emerging":[7],"research":[8],"area.":[9],"This":[10],"paper":[11],"addresses":[12],"identification":[14],"through":[15],"introvert":[16],"and":[17,80,89,102],"extrovert":[18],"classification":[19],"using":[20,83,100],"speech":[21,35,110],"samples.":[22],"A":[23,28],"self-recorded":[24],"datbase":[25],"considered.":[27],"novel":[29],"method":[30],"of":[31,43,56,109,115],"feature":[32,36],"extraction":[33],"involves":[34],"derived":[37],"from":[38],"Auditory":[39],"Nerve":[40],"(AN)":[41],"Modelling":[42],"ear":[45],"in":[46],"identifying":[47],"for":[50,60,73],"first":[52],"time.":[53],"The":[54,95],"effect":[55],"features":[58,111],"proposed":[59],"task":[62],"are":[63,87],"compared":[64],"with":[65,112],"Interspeech":[66],"2010":[67],"features.":[68],"Bayes-Net":[69],"Classifier":[70],"applied":[72,88],"classification.":[74],"Furthermore,":[75],"Voice":[76],"Activity":[77],"Detection":[78],"(VAD)":[79],"dimensionality":[81],"reduction":[82],"Attribute":[84,103],"Selection":[85,104],"technique":[86],"system":[91],"performance":[92,97],"investigated.":[94],"best":[96],"obtained":[99],"VAD":[101],"on":[105],"chosen":[107],"combination":[108],"an":[113],"accuracy":[114],"88.3%.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}