{"id":"https://openalex.org/W4388894577","doi":"https://doi.org/10.1109/tencon58879.2023.10322352","title":"Empirical Mode Decomposition Based Detection of Common Cold Using Speech Signal","display_name":"Empirical Mode Decomposition Based Detection of Common Cold Using Speech Signal","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388894577","doi":"https://doi.org/10.1109/tencon58879.2023.10322352"},"language":"en","primary_location":{"id":"doi:10.1109/tencon58879.2023.10322352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","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/A5030364233","display_name":"Pankaj Warule","orcid":"https://orcid.org/0000-0001-8201-7663"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Warule","raw_affiliation_strings":["SV National Institute of Technology,Department of Electronics Engineering,Surat,India","Department of Electronics Engineering, SV National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SV National Institute of Technology,Department of Electronics Engineering,Surat,India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, SV National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076907137","display_name":"Siba Prasad Mishra","orcid":"https://orcid.org/0000-0001-8702-4918"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siba Prasad Mishra","raw_affiliation_strings":["SV National Institute of Technology,Department of Electronics Engineering,Surat,India","Department of Electronics Engineering, SV National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SV National Institute of Technology,Department of Electronics Engineering,Surat,India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, SV National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054575194","display_name":"Suman Deb","orcid":"https://orcid.org/0000-0002-6317-2489"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suman Deb","raw_affiliation_strings":["SV National Institute of Technology,Department of Electronics Engineering,Surat,India","Department of Electronics Engineering, SV National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SV National Institute of Technology,Department of Electronics Engineering,Surat,India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, SV National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044846698","display_name":"Deepak Joshi","orcid":"https://orcid.org/0000-0002-7978-6493"},"institutions":[{"id":"https://openalex.org/I42014448","display_name":"Sardar Vallabhbhai National Institute of Technology Surat","ror":"https://ror.org/02y394t43","country_code":"IN","type":"education","lineage":["https://openalex.org/I42014448"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Deepak Joshi","raw_affiliation_strings":["SV National Institute of Technology,Department of Electronics Engineering,Surat,India","Department of Electronics Engineering, SV National Institute of Technology, Surat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SV National Institute of Technology,Department of Electronics Engineering,Surat,India","institution_ids":["https://openalex.org/I42014448"]},{"raw_affiliation_string":"Department of Electronics Engineering, SV National Institute of Technology, Surat, India","institution_ids":["https://openalex.org/I42014448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4711,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71562942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"899","last_page":"903"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9944000244140625,"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":0.9807000160217285,"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8773874640464783},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.800653338432312},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7308610677719116},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.6910035610198975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5947238802909851},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5677034854888916},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5457505583763123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.54117751121521},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48913291096687317},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.47594761848449707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.440163254737854},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.43943652510643005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42956024408340454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17786425352096558},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.12919732928276062},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0987524688243866},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07685548067092896}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8773874640464783},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.800653338432312},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7308610677719116},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.6910035610198975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5947238802909851},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5677034854888916},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5457505583763123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.54117751121521},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48913291096687317},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.47594761848449707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.440163254737854},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.43943652510643005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42956024408340454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17786425352096558},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.12919732928276062},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0987524688243866},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07685548067092896},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/tencon58879.2023.10322352","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322352","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1560013842","https://openalex.org/W1966570442","https://openalex.org/W2007221293","https://openalex.org/W2009376772","https://openalex.org/W2054501026","https://openalex.org/W2071895941","https://openalex.org/W2074788634","https://openalex.org/W2117645142","https://openalex.org/W2183659962","https://openalex.org/W2293744536","https://openalex.org/W2405607518","https://openalex.org/W2420680898","https://openalex.org/W2612919868","https://openalex.org/W2738314890","https://openalex.org/W2747891152","https://openalex.org/W2748287326","https://openalex.org/W2748885206","https://openalex.org/W2763815784","https://openalex.org/W2791062765","https://openalex.org/W2885806496","https://openalex.org/W3014146919","https://openalex.org/W3106436761","https://openalex.org/W3198173682","https://openalex.org/W4289829869","https://openalex.org/W4300594228","https://openalex.org/W4309194468","https://openalex.org/W4320519615","https://openalex.org/W4360939188","https://openalex.org/W4375866131","https://openalex.org/W4378191676"],"related_works":["https://openalex.org/W4225568567","https://openalex.org/W1496883226","https://openalex.org/W4297337052","https://openalex.org/W2028605949","https://openalex.org/W4286378979","https://openalex.org/W2282665605","https://openalex.org/W3216026256","https://openalex.org/W3129919015","https://openalex.org/W4390742338","https://openalex.org/W2037499216"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,26,74,89,119,129,132],"discrimination":[4],"between":[5,103],"cold":[6,67,81,104,125],"speech":[7,10,107,126],"and":[8,48,53,60,68,105,124,136],"healthy":[9,69,106,123],"using":[11,88],"features":[12,78,100,117,138],"based":[13],"on":[14],"empirical":[15],"mode":[16,31],"decomposition":[17],"(EMD).":[18],"The":[19,71,95],"EMD":[20],"is":[21,86],"employed":[22],"to":[23],"break":[24],"down":[25],"signal":[27],"into":[28],"several":[29],"intrinsic":[30],"functions":[32],"(IMFs).":[33],"From":[34],"each":[35,56],"IMF,":[36],"various":[37],"statistical":[38],"values":[39],"like":[40],"minimum,":[41],"maximum,":[42],"mean,":[43],"standard":[44],"deviation,":[45],"first,":[46],"second,":[47],"third":[49],"quartiles,":[50],"skewness,":[51],"kurtosis,":[52],"energy":[54],"of":[55,76,134,142],"IMF":[57],"are":[58],"extracted":[59],"used":[61],"as":[62],"a":[63,140],"feature":[64,84],"for":[65,79,121],"distinguishing":[66],"speech.":[70,82],"T-test":[72],"examines":[73],"importance":[75],"EMD-based":[77,83,99,116,137],"classifying":[80],"performance":[85,120],"assessed":[87],"deep":[90],"neural":[91],"network":[92],"(DNN)":[93],"classifier.":[94],"findings":[96],"show":[97],"that":[98],"effectively":[101],"discriminate":[102],"classes.":[108,127],"Combining":[109],"Mel-Frequency":[110],"Cepstral":[111],"Coefficients":[112],"(MFCC)":[113],"characteristics":[114],"with":[115],"improves":[118],"identifying":[122],"On":[128],"URTIC":[130],"database,":[131],"combination":[133],"MFCC":[135],"achieve":[139],"UAR":[141],"66.92%.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-19T17:40:00.097472","created_date":"2025-10-10T00:00:00"}
