{"id":"https://openalex.org/W3009133288","doi":"https://doi.org/10.1109/icspcs47537.2019.9008704","title":"Phoneme Based Model for Gender Identification and Adult-Child Classification","display_name":"Phoneme Based Model for Gender Identification and Adult-Child Classification","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3009133288","doi":"https://doi.org/10.1109/icspcs47537.2019.9008704","mag":"3009133288"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs47537.2019.9008704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs47537.2019.9008704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)","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/A5004083560","display_name":"Mohan Bansal","orcid":"https://orcid.org/0000-0003-0524-8251"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohan Bansal","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050410429","display_name":"Pradip Sircar","orcid":"https://orcid.org/0000-0001-5794-0376"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradip Sircar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.5785,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77210965,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9991999864578247,"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/T11309","display_name":"Music and Audio Processing","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7291553020477295},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6862133741378784},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6715290546417236},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6658293008804321},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6274546384811401},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5814792513847351},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5760133266448975},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5325233936309814},{"id":"https://openalex.org/keywords/speaker-identification","display_name":"Speaker identification","score":0.4679756462574005},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.4635671079158783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.450725793838501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4384782910346985},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4229119122028351},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.2706921696662903},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12011528015136719},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07109349966049194}],"concepts":[{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7291553020477295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6862133741378784},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6715290546417236},{"id":"https://openalex.org/C2776756274","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6658293008804321},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6274546384811401},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5814792513847351},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5760133266448975},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5325233936309814},{"id":"https://openalex.org/C2986627078","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker identification","level":3,"score":0.4679756462574005},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.4635671079158783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.450725793838501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4384782910346985},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4229119122028351},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.2706921696662903},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12011528015136719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07109349966049194},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcs47537.2019.9008704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs47537.2019.9008704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W15106243","https://openalex.org/W765622655","https://openalex.org/W1512098439","https://openalex.org/W1597732836","https://openalex.org/W1967477266","https://openalex.org/W1975235033","https://openalex.org/W1981552604","https://openalex.org/W1993822631","https://openalex.org/W2004495669","https://openalex.org/W2008291900","https://openalex.org/W2013312573","https://openalex.org/W2021268310","https://openalex.org/W2033991357","https://openalex.org/W2039242523","https://openalex.org/W2039692344","https://openalex.org/W2068608907","https://openalex.org/W2068634874","https://openalex.org/W2070696251","https://openalex.org/W2096330373","https://openalex.org/W2106118520","https://openalex.org/W2106900543","https://openalex.org/W2114537326","https://openalex.org/W2125225534","https://openalex.org/W2133990480","https://openalex.org/W2148611943","https://openalex.org/W2151802193","https://openalex.org/W2155041972","https://openalex.org/W2163669870","https://openalex.org/W2170505850","https://openalex.org/W2326623785","https://openalex.org/W2737886259","https://openalex.org/W2886603823","https://openalex.org/W2893830171","https://openalex.org/W3104887532","https://openalex.org/W3109943296","https://openalex.org/W4247891694","https://openalex.org/W6600618385","https://openalex.org/W6630527977","https://openalex.org/W6635545407","https://openalex.org/W6642173193","https://openalex.org/W6683113847"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2393757304","https://openalex.org/W2041399278","https://openalex.org/W2160451891","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W2389470892"],"abstract_inverted_index":{"Speech":[0],"is":[1,56,71,124,145],"the":[2,20,28,36,43,59,66,86,90,97,103,114,121,138,148],"primary":[3],"way":[4],"of":[5,62,68,133,137,157],"communicating":[6],"messages":[7],"from":[8,27,89],"a":[9,12,63,154],"speaker":[10],"to":[11,73],"listener.":[13],"The":[14,47,77,107],"listener":[15],"can":[16],"identify":[17],"details":[18],"about":[19],"speaker's":[21],"personality,":[22],"age,":[23],"gender,":[24],"accent,":[25],"emotions":[26],"voiced":[29],"signal.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34],"address":[35],"gender":[37,78,127],"identification":[38,79,128],"and":[39,50,65,80,95,118,129,141],"adult-child":[40,81],"classification":[41,82,131],"using":[42,85],"phoneme-based":[44,91],"parametric":[45],"model.":[46],"multi-component":[48],"amplitude":[49],"frequency":[51],"modulated":[52],"(AFM)":[53],"signal":[54,93],"model":[55,69,94],"suitable":[57,125],"for":[58,126],"entire":[60],"duration":[61],"phoneme,":[64],"estimation":[67],"parameters":[70],"robust":[72],"various":[74,115],"recording":[75,116],"conditions.":[76],"are":[83],"done":[84],"features":[87],"extracted":[88],"AFM":[92],"applying":[96],"support":[98],"vector":[99],"machines":[100],"(SVM)":[101],"with":[102,153],"k-fold":[104],"cross-validation":[105],"(CV).":[106],"experimental":[108],"results":[109],"have":[110],"been":[111],"performed":[112],"in":[113],"conditions":[117],"show":[119],"that":[120,147],"proposed":[122,149],"technique":[123,151],"age":[130],"independent":[132],"spoken":[134],"text,":[135],"emotion":[136],"speaker,":[139],"environment":[140],"microphone":[142],"set-up.":[143],"It":[144],"demonstrated":[146],"model-based":[150],"performs":[152],"high":[155],"probability":[156],"correct":[158],"identification/classification.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}