{"id":"https://openalex.org/W4312812805","doi":"https://doi.org/10.1109/tcss.2022.3210988","title":"Mitigating Information Interruptions by COVID-19 Face Masks: A Three-Stage Speech Enhancement Scheme","display_name":"Mitigating Information Interruptions by COVID-19 Face Masks: A Three-Stage Speech Enhancement Scheme","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W4312812805","doi":"https://doi.org/10.1109/tcss.2022.3210988"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3210988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3210988","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-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/A5048255947","display_name":"Tusar Kanti Dash","orcid":"https://orcid.org/0000-0002-7964-7485"},"institutions":[{"id":"https://openalex.org/I4210125057","display_name":"Vivekananda Global University","ror":"https://ror.org/038mz4r36","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210125057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tusar Kanti Dash","raw_affiliation_strings":["Department of Electronics and Communications Engineering, C. V. Raman Global University, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-7964-7485","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications Engineering, C. V. Raman Global University, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210125057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036945704","display_name":"Chinmay Chakraborty","orcid":"https://orcid.org/0000-0002-4385-0975"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chinmay Chakraborty","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India"],"raw_orcid":"https://orcid.org/0000-0002-4385-0975","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083798172","display_name":"Satyajit Mahapatra","orcid":"https://orcid.org/0000-0002-5516-6978"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satyajit Mahapatra","raw_affiliation_strings":["School of Electrical and Electronics Engineering, VIT Bhopal University, Bhopal, India"],"raw_orcid":"https://orcid.org/0000-0002-5516-6978","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronics Engineering, VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034931207","display_name":"Ganapati Panda","orcid":"https://orcid.org/0000-0002-3555-5685"},"institutions":[{"id":"https://openalex.org/I4210125057","display_name":"Vivekananda Global University","ror":"https://ror.org/038mz4r36","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210125057"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganapati Panda","raw_affiliation_strings":["Department of Electronics and Communications Engineering, C. V. Raman Global University, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-3555-5685","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communications Engineering, C. V. Raman Global University, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210125057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7432,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.699208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"11","issue":"4","first_page":"4790","last_page":"4799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9545999765396118,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/masking","display_name":"Masking (illustration)","score":0.6264677047729492},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5615454316139221},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5401500463485718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5383322238922119},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5335315465927124},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4956914186477661},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.44790998101234436},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4216157793998718},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.36984390020370483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3618634343147278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31476861238479614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3057090938091278},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.28704124689102173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17996206879615784}],"concepts":[{"id":"https://openalex.org/C2777402240","wikidata":"https://www.wikidata.org/wiki/Q6783436","display_name":"Masking (illustration)","level":2,"score":0.6264677047729492},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5615454316139221},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5401500463485718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5383322238922119},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5335315465927124},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4956914186477661},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.44790998101234436},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4216157793998718},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.36984390020370483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3618634343147278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31476861238479614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3057090938091278},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.28704124689102173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17996206879615784},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3210988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3210988","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W129675215","https://openalex.org/W1552314771","https://openalex.org/W1578124564","https://openalex.org/W1817183475","https://openalex.org/W1967364386","https://openalex.org/W2051057783","https://openalex.org/W2061438946","https://openalex.org/W2077626438","https://openalex.org/W2112797878","https://openalex.org/W2131030892","https://openalex.org/W2143455647","https://openalex.org/W2155998647","https://openalex.org/W2176625348","https://openalex.org/W2509065397","https://openalex.org/W2558531213","https://openalex.org/W2588891865","https://openalex.org/W2946595724","https://openalex.org/W2969372706","https://openalex.org/W2992190781","https://openalex.org/W3004659424","https://openalex.org/W3006988520","https://openalex.org/W3015218641","https://openalex.org/W3015268401","https://openalex.org/W3032742287","https://openalex.org/W3043699729","https://openalex.org/W3048140877","https://openalex.org/W3089248797","https://openalex.org/W3091536155","https://openalex.org/W3092610271","https://openalex.org/W3095376491","https://openalex.org/W3098357269","https://openalex.org/W3098506483","https://openalex.org/W3107058614","https://openalex.org/W3112869640","https://openalex.org/W3120185565","https://openalex.org/W3130287405","https://openalex.org/W3135960935","https://openalex.org/W3139381187","https://openalex.org/W3155131285","https://openalex.org/W3159101011","https://openalex.org/W3171207991","https://openalex.org/W3175971180","https://openalex.org/W3183625236","https://openalex.org/W3191359713","https://openalex.org/W3205034040","https://openalex.org/W4200139552","https://openalex.org/W4200513369","https://openalex.org/W4225320295","https://openalex.org/W4229019812","https://openalex.org/W4246358599","https://openalex.org/W4292854458","https://openalex.org/W6805700014"],"related_works":["https://openalex.org/W2294333436","https://openalex.org/W2653598178","https://openalex.org/W2373767407","https://openalex.org/W4252682934","https://openalex.org/W2072884270","https://openalex.org/W2356426224","https://openalex.org/W4386474880","https://openalex.org/W2734909224","https://openalex.org/W4200596008","https://openalex.org/W2550583663"],"abstract_inverted_index":{"The":[0],"coronavirus":[1],"disease":[2],"2019":[3],"(COVID-19)":[4],"preventive":[5],"measures":[6],"have":[7],"resulted":[8],"in":[9,35,61,81],"significant":[10],"lifestyle":[11],"changes.":[12],"One":[13],"of":[14,22,49,113,127,160,169,196],"the":[15,20,46,85,88,106,111,116,121,124,128,151,154,161,170,181,185,192,194,197,203],"COVID-19":[16],"new":[17],"normal":[18],"is":[19,79,200],"usage":[21],"face":[23],"masks":[24],"for":[25,142],"protection":[26],"against":[27],"airborne":[28],"aerosol":[29],"which":[30],"creates":[31],"distractions":[32],"and":[33,110,131,145,166],"interruptions":[34],"voice":[36],"communication.":[37,53],"It":[38],"has":[39,56],"a":[40,67,72],"different":[41,62,143],"influence":[42],"on":[43,59],"speech":[44,52,60,75,118,209],"than":[45],"standard":[47,158,204],"concept":[48],"noise":[50],"affecting":[51],"Furthermore,":[54],"it":[55],"varied":[57],"effects":[58],"frequency":[63],"bands.":[64],"To":[65],"provide":[66],"solution":[68],"to":[69,179],"this":[70,82],"problem,":[71],"three-stage":[73],"adaptive":[74],"enhancement":[76],"(SE)":[77],"scheme":[78],"developed":[80],"article.":[83],"In":[84,120,150,191],"first":[86],"stage,":[87,123,153],"tunable":[89],"<inline-formula":[90],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[91],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[92],"<tex-math":[93],"notation=\"LaTeX\">$Q$</tex-math>":[94],"</inline-formula>":[95],"-factor":[96],"wavelet":[97],"transform":[98],"(TQWT)":[99],"features":[100,189],"are":[101,137,177],"extracted":[102],"by":[103],"properly":[104],"setting":[105],"quality":[107],"factor":[108],"values":[109],"number":[112],"levels":[114],"from":[115,184],"input":[117,167,186],"signal.":[119],"second":[122],"adjustable":[125],"parameters":[126,183],"preemphasis":[129],"filter":[130],"modified":[132],"multiband":[133],"spectral":[134],"subtraction":[135],"(MBSS)":[136],"determined":[138],"using":[139,207],"bio-inspired":[140],"techniques":[141],"masking":[144],"signal-to-noise":[146],"ratio":[147],"(SNR)":[148],"conditions.":[149],"third":[152],"weights,":[155],"center":[156],"values,":[157],"deviation":[159],"Gaussian":[162],"radial":[163,171],"basis":[164,172],"functions,":[165],"patterns":[168],"function":[173],"neural":[174],"networks":[175],"(RBFNNs)":[176],"updated":[178],"predict":[180],"optimized":[182],"TQWT-based":[187],"cepstral":[188],"(TQCFs).":[190],"end,":[193],"performance":[195],"proposed":[198],"algorithm":[199],"compared":[201],"with":[202],"SE":[205],"algorithms":[206],"two":[208],"datasets.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}