{"id":"https://openalex.org/W4283810126","doi":"https://doi.org/10.1109/ncc55593.2022.9806768","title":"Importance of excitation source and sequence learning towards spoken language identification task","display_name":"Importance of excitation source and sequence learning towards spoken language identification task","publication_year":2022,"publication_date":"2022-05-24","ids":{"openalex":"https://openalex.org/W4283810126","doi":"https://doi.org/10.1109/ncc55593.2022.9806768"},"language":"en","primary_location":{"id":"doi:10.1109/ncc55593.2022.9806768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013209021","display_name":"Jagabandhu Mishra","orcid":"https://orcid.org/0000-0003-1878-6286"},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jagabandhu Mishra","raw_affiliation_strings":["Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011","institution_ids":["https://openalex.org/I4210152718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026477748","display_name":"Soma Siddhartha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soma Siddhartha","raw_affiliation_strings":["Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011","institution_ids":["https://openalex.org/I4210152718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052129812","display_name":"S. R. Mahadeva Prasanna","orcid":"https://orcid.org/0000-0002-8135-7938"},"institutions":[{"id":"https://openalex.org/I4210152718","display_name":"Indian Institute of Technology Dharwad","ror":"https://ror.org/0509djg30","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210152718"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. R. Mahadeva Prasanna","raw_affiliation_strings":["Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Dharwad,Department of Electrical Engineering,Dharwad,India,580011","institution_ids":["https://openalex.org/I4210152718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210152718"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62157253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"190","last_page":"194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7768772840499878},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5831048488616943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5471453070640564},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5251935720443726},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5018179416656494},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4945037066936493},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.469292014837265},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.46714967489242554},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4627639651298523},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44489872455596924},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4429134428501129},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44278472661972046},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33186453580856323},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.187241792678833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07734116911888123}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768772840499878},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5831048488616943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471453070640564},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5251935720443726},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5018179416656494},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4945037066936493},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.469292014837265},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.46714967489242554},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4627639651298523},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44489872455596924},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4429134428501129},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44278472661972046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33186453580856323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.187241792678833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07734116911888123},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc55593.2022.9806768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc55593.2022.9806768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W232876404","https://openalex.org/W1878933107","https://openalex.org/W2032495250","https://openalex.org/W2090861223","https://openalex.org/W2091409162","https://openalex.org/W2104457544","https://openalex.org/W2112164460","https://openalex.org/W2146194791","https://openalex.org/W2433826538","https://openalex.org/W2892009249","https://openalex.org/W3010814938","https://openalex.org/W3015714124","https://openalex.org/W6609126827","https://openalex.org/W6779260352"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2925692864","https://openalex.org/W4233449973","https://openalex.org/W4391013256","https://openalex.org/W2972212393"],"abstract_inverted_index":{"Spoken":[0],"LID":[1,35,73],"systems":[2,74],"generally":[3],"capture":[4],"the":[5,13,25,30,33,45,50,127,135,139,152,159,162,176],"long":[6],"term":[7],"temporal":[8],"dynamic":[9],"information":[10,55],"present":[11],"in":[12,38,56,71,96,134,154,158],"speech":[14],"signal.":[15],"To":[16],"achieve":[17],"that,":[18,62],"sequence":[19,110],"modeling":[20,111],"techniques":[21],"are":[22,65,121],"used":[23,67],"after":[24],"feature":[26,84],"extraction":[27],"process.":[28],"But,":[29],"performance":[31],"of":[32,52,147,170],"spoken":[34,72,115],"system":[36,142,165],"degrades":[37],"cross":[39,136],"channel":[40,137],"and":[41,58,149,172],"noisy":[42,57,160],"scenarios.":[43,60],"From":[44,126],"literature,":[46],"we":[47],"can":[48,130],"observe":[49],"benefit":[51],"excitation":[53,63,82],"source":[54],"cross-channel":[59],"Besides":[61],"features":[64],"also":[66,101],"as":[68],"complementary":[69],"evidence":[70],"with":[75],"spectral":[76],"features.":[77],"Motivated":[78],"from":[79],"this,":[80],"an":[81],"based":[83,109],"called":[85],"integrated":[86],"residual":[87],"linear":[88],"frequency":[89],"cepstral":[90],"coefficient":[91],"(IRLFCC)":[92],"has":[93],"been":[94],"proposed":[95,140,163],"this":[97],"work.":[98],"This":[99],"work":[100],"provides":[102,143,166],"a":[103,144,167],"comparison":[104],"between":[105],"various":[106],"deep":[107],"learning":[108],"architectures":[112],"towards":[113],"capturing":[114],"language":[116],"specific":[117],"information.":[118],"The":[119],"experiments":[120],"performed":[122],"using":[123],"OLR2020":[124],"dataset.":[125],"experiments,":[128],"it":[129],"be":[131],"observed":[132],"that":[133],"scenario,":[138,161],"best":[141,164],"relative":[145,168],"improvement":[146,169],"70.5%":[148],"57.2%":[150],"over":[151,175],"baseline":[153,177],"terms":[155],"of$EER_{avg}$and$C_{avg}$respectively.":[156],"Similarly,":[157],"37.8%":[171],"45":[173],"%":[174],"system.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}