{"id":"https://openalex.org/W3015641485","doi":"https://doi.org/10.1109/ncc48643.2020.9056084","title":"Classifying Speech of ASD Affected and Normal Children Using Acoustic Features","display_name":"Classifying Speech of ASD Affected and Normal Children Using Acoustic Features","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015641485","doi":"https://doi.org/10.1109/ncc48643.2020.9056084","mag":"3015641485"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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/A5062228488","display_name":"Abhijit Mohanta","orcid":"https://orcid.org/0000-0002-6368-0328"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]},{"id":"https://openalex.org/I4387155292","display_name":"Indian Institute of Information Technology Sri City","ror":"https://ror.org/026873d40","country_code":null,"type":"education","lineage":["https://openalex.org/I4387155292"]},{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhijit Mohanta","raw_affiliation_strings":["Indian Institute of Information Technology,Sri City, Chittoor,Andhra Pradesh,India","Indian Institute of Information Technology, Sri City, Chittoor, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Sri City, Chittoor,Andhra Pradesh,India","institution_ids":["https://openalex.org/I4210109292"]},{"raw_affiliation_string":"Indian Institute of Information Technology, Sri City, Chittoor, Andhra Pradesh, India","institution_ids":["https://openalex.org/I26072440","https://openalex.org/I4387155292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109497771","display_name":"Vinay Kumar Mittal","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinay Kumar Mittal","raw_affiliation_strings":["K L University,Vijayawada,Andhra Pradesh,India","K L University, Vijayawada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"K L University,Vijayawada,Andhra Pradesh,India","institution_ids":["https://openalex.org/I875944469"]},{"raw_affiliation_string":"K L University, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5062228488"],"corresponding_institution_ids":["https://openalex.org/I26072440","https://openalex.org/I4210109292","https://openalex.org/I4387155292"],"apc_list":null,"apc_paid":null,"fwci":1.4501,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.80573097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/formant","display_name":"Formant","score":0.7826160788536072},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6624892354011536},{"id":"https://openalex.org/keywords/vocal-tract","display_name":"Vocal tract","score":0.6179137229919434},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6047242283821106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5613338947296143},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5385966897010803},{"id":"https://openalex.org/keywords/autism-spectrum-disorder","display_name":"Autism spectrum disorder","score":0.513239860534668},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47464069724082947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4711509943008423},{"id":"https://openalex.org/keywords/speech-production","display_name":"Speech production","score":0.4688376486301422},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.4676871597766876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39364859461784363},{"id":"https://openalex.org/keywords/autism","display_name":"Autism","score":0.30028271675109863},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1791793406009674},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.12310326099395752}],"concepts":[{"id":"https://openalex.org/C158215666","wikidata":"https://www.wikidata.org/wiki/Q1414685","display_name":"Formant","level":3,"score":0.7826160788536072},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6624892354011536},{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.6179137229919434},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6047242283821106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5613338947296143},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5385966897010803},{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.513239860534668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47464069724082947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4711509943008423},{"id":"https://openalex.org/C43617652","wikidata":"https://www.wikidata.org/wiki/Q7575399","display_name":"Speech production","level":2,"score":0.4688376486301422},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.4676871597766876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39364859461784363},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.30028271675109863},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1791793406009674},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.12310326099395752},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W15066456","https://openalex.org/W100877936","https://openalex.org/W1534477342","https://openalex.org/W1538323930","https://openalex.org/W1560724230","https://openalex.org/W1610836425","https://openalex.org/W1759039720","https://openalex.org/W1835526064","https://openalex.org/W1966264494","https://openalex.org/W1976761624","https://openalex.org/W1981976602","https://openalex.org/W1995828869","https://openalex.org/W2022554507","https://openalex.org/W2024753239","https://openalex.org/W2047852850","https://openalex.org/W2051427934","https://openalex.org/W2054807655","https://openalex.org/W2074894864","https://openalex.org/W2084719069","https://openalex.org/W2094382385","https://openalex.org/W2107807807","https://openalex.org/W2112164460","https://openalex.org/W2112844139","https://openalex.org/W2120064584","https://openalex.org/W2122213363","https://openalex.org/W2131864930","https://openalex.org/W2132566726","https://openalex.org/W2141458274","https://openalex.org/W2146403509","https://openalex.org/W2148310284","https://openalex.org/W2150676001","https://openalex.org/W2155359203","https://openalex.org/W2293270307","https://openalex.org/W2331999831","https://openalex.org/W2398521182","https://openalex.org/W2952790857","https://openalex.org/W2972559945","https://openalex.org/W2972725946","https://openalex.org/W4409109312","https://openalex.org/W6600593648","https://openalex.org/W6604140036","https://openalex.org/W6632075054","https://openalex.org/W6632208634","https://openalex.org/W6636497728","https://openalex.org/W6697066199","https://openalex.org/W6712654940","https://openalex.org/W6878916410"],"related_works":["https://openalex.org/W2046073792","https://openalex.org/W4254341835","https://openalex.org/W1748856376","https://openalex.org/W2086580720","https://openalex.org/W1909584822","https://openalex.org/W2001425423","https://openalex.org/W2061217898","https://openalex.org/W2894697037","https://openalex.org/W2131046383","https://openalex.org/W2021612972"],"abstract_inverted_index":{"Children":[0],"affected":[1,29,75,204],"with":[2,57,76,215],"autism":[3],"spectrum":[4],"disorder":[5],"(ASD)":[6],"produce":[7],"speech":[8,26,48,54,72,81,100,201],"that":[9,32,50],"consists":[10],"of":[11,27,33,47,55,73,82,87,118,159,172,186,202,212],"distinctive":[12],"acoustic":[13,21,88],"patterns,":[14],"as":[15],"compared":[16],"to":[17,42,134,193],"normal":[18,34,60,83,207],"children.":[19,35,61,84],"Hence,":[20],"analyses":[22,86],"can":[23],"help":[24,51],"classifying":[25],"ASD":[28,58,77,203,239],"children":[30,56,74,205],"from":[31],"In":[36],"this":[37,68],"study,":[38],"the":[39,70,79,99,111,126,131,146,160],"aim":[40],"is":[41,181],"identify":[43],"those":[44],"discriminating":[45],"characteristics":[46,102],"production":[49,101],"classification":[52,198],"between":[53,200],"and":[59,78,116,136,152,176,189,206],"Two":[62],"separate":[63],"datasets":[64,93],"were":[65],"recorded":[66],"for":[67,91,170,197,237],"study:":[69],"English":[71,80],"Comparative":[85],"features":[89,114,130,149,187],"derived":[90],"both":[92],"are":[94,103,121,141,155,163,195,220],"carried":[95,182],"out.":[96],"Changes":[97],"in":[98,105,110,125,145,232,241],"examined":[104],"three":[106,167],"parts.":[107],"Firstly,":[108],"changes":[109,124,144],"excitation":[112,119],"source":[113],"F0":[115],"strength":[117],"(SoE)":[120],"analyzed.":[122,142,156],"Secondly,":[123],"vocal":[127],"tract":[128],"filter":[129],"formants":[132],"(F1":[133],"F5)":[135],"dominant":[137],"frequencies":[138],"(FD1,":[139],"FD2)":[140],"Thirdly,":[143],"combined":[147],"source-filter":[148],"signal":[150],"energy":[151],"zero-crossing":[153],"rate":[154],"Different":[157],"combinations":[158,185],"feature":[161,213],"sets":[162,188],"then":[164],"classified":[165],"using":[166,183,209],"different":[168,184],"classifiers":[169],"validation":[171],"results:":[173],"SVM,":[174],"KNN":[175],"ensemble":[177],"classifiers.":[178,190],"Performance":[179],"evaluation":[180],"Results":[191],"up":[192],"97.1%":[194],"obtained":[196],"accuracy":[199],"children,":[208],"a":[210],"combination":[211],"set":[214],"SVM":[216],"classifier.":[217],"The":[218],"results":[219],"better":[221],"than":[222],"other":[223],"similar":[224],"few":[225],"studies.":[226],"This":[227],"study":[228],"should":[229],"be":[230],"helpful":[231],"developing":[233],"an":[234],"automated":[235],"system":[236],"identffying":[238],"speech,":[240],"future.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
