{"id":"https://openalex.org/W2805188306","doi":"https://doi.org/10.3233/jifs-169575","title":"Enhancement of speech using deep neural network with discrete cosine transform","display_name":"Enhancement of speech using deep neural network with discrete cosine transform","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2805188306","doi":"https://doi.org/10.3233/jifs-169575","mag":"2805188306"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169575","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169575","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy 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/A5062526519","display_name":"Rashmirekha Ram","orcid":null},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rashmirekha Ram","raw_affiliation_strings":["Department of Electronics and Communicaton Engineering, Siksha \u2018O\u2019 Anusandhan University (Deemed to be University), Bhubaneswar, India","Department of Electronics and Communicaton Engineering, Siksha 'O' Anusandhan University (Deemed to be University), Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communicaton Engineering, Siksha \u2018O\u2019 Anusandhan University (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]},{"raw_affiliation_string":"Department of Electronics and Communicaton Engineering, Siksha 'O' Anusandhan University (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016209473","display_name":"Mihir Narayan Mohanty","orcid":"https://orcid.org/0000-0003-1252-949X"},"institutions":[{"id":"https://openalex.org/I193073490","display_name":"Siksha O Anusandhan University","ror":"https://ror.org/056ep7w45","country_code":"IN","type":"education","lineage":["https://openalex.org/I193073490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Mihir Narayan Mohanty","raw_affiliation_strings":["Department of Electronics and Communicaton Engineering, Siksha \u2018O\u2019 Anusandhan University (Deemed to be University), Bhubaneswar, India","Department of Electronics and Communicaton Engineering, Siksha 'O' Anusandhan University (Deemed to be University), Bhubaneswar, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communicaton Engineering, Siksha \u2018O\u2019 Anusandhan University (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]},{"raw_affiliation_string":"Department of Electronics and Communicaton Engineering, Siksha 'O' Anusandhan University (Deemed to be University), Bhubaneswar, India","institution_ids":["https://openalex.org/I193073490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016209473"],"corresponding_institution_ids":["https://openalex.org/I193073490"],"apc_list":null,"apc_paid":null,"fwci":0.6606,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68229132,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"35","issue":"1","first_page":"141","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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/T11447","display_name":"Blind Source Separation Techniques","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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.8637027740478516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7280324697494507},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6314096450805664},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.608889102935791},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5574055910110474},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5024783611297607},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4788529872894287},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4714295268058777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4234168231487274},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4057830572128296},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35110658407211304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22916269302368164}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.8637027740478516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7280324697494507},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6314096450805664},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.608889102935791},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5574055910110474},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5024783611297607},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4788529872894287},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4714295268058777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4234168231487274},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4057830572128296},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35110658407211304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22916269302368164},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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:10.3233/jifs-169575","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169575","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1492221128","https://openalex.org/W1815329867","https://openalex.org/W1963971048","https://openalex.org/W2006286416","https://openalex.org/W2044893557","https://openalex.org/W2063378142","https://openalex.org/W2078528584","https://openalex.org/W2089240210","https://openalex.org/W2128653836","https://openalex.org/W2224794932","https://openalex.org/W2332599430","https://openalex.org/W2364830591","https://openalex.org/W2366427818","https://openalex.org/W2387929676","https://openalex.org/W2403010837","https://openalex.org/W2411786938","https://openalex.org/W2476603001","https://openalex.org/W2517050053","https://openalex.org/W2535647455","https://openalex.org/W2548094711","https://openalex.org/W2550397165","https://openalex.org/W2558539285","https://openalex.org/W2560639417","https://openalex.org/W2560824463","https://openalex.org/W2577762507","https://openalex.org/W2586068394","https://openalex.org/W2595987296","https://openalex.org/W2626544737","https://openalex.org/W2687223163","https://openalex.org/W2696558042","https://openalex.org/W2753648062","https://openalex.org/W2886543975","https://openalex.org/W4235890856","https://openalex.org/W4245919820","https://openalex.org/W6672982265","https://openalex.org/W6743851369","https://openalex.org/W6753995201"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2751208925","https://openalex.org/W2347541121","https://openalex.org/W4288804799","https://openalex.org/W3089617106","https://openalex.org/W3032237421","https://openalex.org/W2080951048","https://openalex.org/W3011883280","https://openalex.org/W2390346111","https://openalex.org/W2369082698"],"abstract_inverted_index":{"In":[0,27,247],"this":[1,28,110,165,224],"digitized":[2],"world,":[3],"the":[4,9,50,70,79,87,97,121,127,144,148,152,186,210,221,231,248,251,258],"demand":[5],"of":[6,16,49,62,82,154,158,177,223],"users":[7],"emphasizes":[8],"quality":[10],"and":[11,42,58,93,105,126,146,157,175,189,196,207,236],"accuracy.":[12],"Practically,":[13],"all":[14],"variants":[15],"signals":[17],"are":[18,133],"analog":[19],"in":[20,84,86],"nature":[21],"along":[22,256],"with":[23,25,75,257],"contaminated":[24],"noise.":[26],"paper,":[29],"speech":[30,35,80,98,217],"signal":[31,36,51,71,153,205],"is":[32,81,91,102,116,129,220,254],"considered.":[33],"Basically":[34],"varies":[37],"from":[38,69],"person":[39,41],"to":[40,44,142],"time":[43,245],"time.":[45],"It":[46],"requires":[47],"enhancement":[48],"for":[52,136,204,216,242],"different":[53],"applications":[54],"like":[55],"engineering,":[56],"medicine":[57],"social":[59],"purposes.":[60],"Reduction":[61],"noise":[63,145],"as":[64,66],"well":[65],"redundant":[67],"data":[68],"can":[72,161,238],"be":[73,162,239],"produced":[74],"enhanced":[76,163],"versions.":[77],"As":[78,118],"nonstationary":[83],"nature,":[85],"initial":[88],"phase,":[89],"it":[90,119,237],"processed":[92],"normalized.":[94],"To":[95],"analyze":[96],"signal,":[99],"spectral":[100],"domain":[101],"most":[103],"suitable":[104],"has":[106,120],"been":[107,170,183,199,213],"utilized.":[108],"For":[109],"purpose,":[111],"Discrete":[112],"Cosine":[113],"Transform":[114],"(DCT-II)":[115],"used.":[117],"advantage":[122],"over":[123],"other":[124,232],"transforms":[125],"calculation":[128],"simpler,":[130],"DCT-II":[131,195],"coefficients":[132],"further":[134],"used":[135],"Deep":[137],"Neural":[138],"Network":[139],"(DNN)":[140],"model":[141],"reduce":[143],"enhance":[147],"signal.":[149],"So":[150],"that":[151],"any":[155,159,243],"environment":[156],"amount":[160],"using":[164],"model.":[166],"100":[167],"sentences":[168,181,192],"have":[169,182,198,212],"collected":[171],"form":[172],"both":[173],"males":[174,188],"females":[176],"5":[178],"each.":[179,193],"The":[180,226,261],"uttered":[184],"by":[185,201],"corresponding":[187],"females,":[190],"10":[191],"Though":[194],"DNN":[197],"applied":[200,234],"many":[202],"researchers":[203],"features":[206],"image":[208],"classification,":[209],"same":[211],"utilized":[214,241],"here":[215],"enhancement,":[218],"which":[219],"novelty":[222],"work.":[225],"results":[227],"found":[228],"better":[229],"than":[230],"methods":[233],"earlier":[235],"best":[240],"real":[244],"application.":[246],"result":[249],"section,":[250],"visual":[252],"inspection":[253],"exhibited":[255],"comparison":[259],"values.":[260],"measuring":[262],"parameters":[263],"show":[264],"its":[265],"efficacy.":[266]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}