{"id":"https://openalex.org/W4385626670","doi":"https://doi.org/10.1109/dese58274.2023.10099854","title":"Deep Learning-Based Speech Enhancement Algorithm Using Charlier Transform","display_name":"Deep Learning-Based Speech Enhancement Algorithm Using Charlier Transform","publication_year":2023,"publication_date":"2023-01-09","ids":{"openalex":"https://openalex.org/W4385626670","doi":"https://doi.org/10.1109/dese58274.2023.10099854"},"language":"en","primary_location":{"id":"doi:10.1109/dese58274.2023.10099854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese58274.2023.10099854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","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/A5092836172","display_name":"Sally Antoin Jerjees","orcid":null},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Sally Antoin Jerjees","raw_affiliation_strings":["University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003175428","display_name":"Hala J. Mohammed","orcid":"https://orcid.org/0000-0001-5567-0448"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hala Jassim Mohammed","raw_affiliation_strings":["University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062881889","display_name":"Hayder S. Radeaf","orcid":"https://orcid.org/0000-0002-0381-6772"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hayder Saadi Radeaf","raw_affiliation_strings":["University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020675008","display_name":"Basheera M. Mahmmod","orcid":"https://orcid.org/0000-0002-4121-0843"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Basheera M. Mahmmod","raw_affiliation_strings":["University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017117569","display_name":"Sadiq H. Abdulhussain","orcid":"https://orcid.org/0000-0002-6439-0082"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Sadiq H. Abdulhussain","raw_affiliation_strings":["University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Baghdad,Department of Computer Engineering,Baghdad,Iraq","institution_ids":["https://openalex.org/I135120706"]},{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135120706"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9987000226974487,"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":0.9987000226974487,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9297999739646912,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9171000123023987,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.8157474994659424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733188271522522},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7135688066482544},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.6898220777511597},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6028838157653809},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5042680501937866},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5030414462089539},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4997708797454834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4831356704235077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4694373607635498},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4612632393836975},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.17868754267692566},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.12345537543296814}],"concepts":[{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.8157474994659424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733188271522522},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7135688066482544},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.6898220777511597},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6028838157653809},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5042680501937866},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5030414462089539},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4997708797454834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4831356704235077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4694373607635498},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4612632393836975},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.17868754267692566},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.12345537543296814},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/dese58274.2023.10099854","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dese58274.2023.10099854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Developments in eSystems Engineering (DeSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W43382659","https://openalex.org/W1654411218","https://openalex.org/W1972063359","https://openalex.org/W1974387177","https://openalex.org/W2044893557","https://openalex.org/W2078528584","https://openalex.org/W2111247758","https://openalex.org/W2144404214","https://openalex.org/W2408713104","https://openalex.org/W2529143702","https://openalex.org/W2800231483","https://openalex.org/W2887450173","https://openalex.org/W2891607145","https://openalex.org/W2940503387","https://openalex.org/W2943554574","https://openalex.org/W2952979007","https://openalex.org/W2962843322","https://openalex.org/W2962946126","https://openalex.org/W2963082324","https://openalex.org/W2963453742","https://openalex.org/W3001387854","https://openalex.org/W3005621653","https://openalex.org/W3016120385","https://openalex.org/W3016447038","https://openalex.org/W3032688588","https://openalex.org/W3045549273","https://openalex.org/W3049226960","https://openalex.org/W3049430014","https://openalex.org/W3049525135","https://openalex.org/W3081138412","https://openalex.org/W3081608966","https://openalex.org/W3082484524","https://openalex.org/W3098805155","https://openalex.org/W3113609448","https://openalex.org/W3120515765","https://openalex.org/W3126648213","https://openalex.org/W3127686677","https://openalex.org/W3158388718","https://openalex.org/W3164605550","https://openalex.org/W3213195076","https://openalex.org/W4214590802","https://openalex.org/W4214911965","https://openalex.org/W4226256492","https://openalex.org/W4245919820","https://openalex.org/W4289315407","https://openalex.org/W4295878915","https://openalex.org/W4310153928","https://openalex.org/W4313176140","https://openalex.org/W6790299203"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W4375869169","https://openalex.org/W2597829360","https://openalex.org/W2037635165","https://openalex.org/W3000153094","https://openalex.org/W2542062716","https://openalex.org/W2738829087","https://openalex.org/W2231565466","https://openalex.org/W3043214604","https://openalex.org/W1505346162"],"abstract_inverted_index":{"Machine":[0],"learning,":[1],"a":[2,70],"part":[3],"of":[4,18,65,82,122,151],"artificial":[5],"intelligence,":[6],"is":[7,20,33,98,117,132],"recently":[8],"used":[9,34,60,133,141],"in":[10,35,142],"speech":[11,24,83,88,107,138,161],"enhancement":[12,108],"algorithms":[13],"(SE).":[14],"The":[15,95,115,145],"primary":[16],"focus":[17],"SE":[19,36],"finding":[21],"the":[22,27,63,66,79,105,112,123,128,143,149,152,160],"original":[23],"signal":[25,68,84,162],"from":[26],"distorted":[28],"one.":[29],"Specifically,":[30],"deep":[31],"learning":[32,76],"because":[37],"it":[38],"handles":[39],"nonlinear":[40],"mapping":[41],"problems":[42],"for":[43,134],"complicated":[44],"features.":[45],"In":[46,126],"this":[47],"paper,":[48],"Charlier":[49,55],"polynomials-based":[50],"discrete":[51,54],"transform,":[52],"simply":[53],"transform":[56],"(DCHT),":[57],"has":[58],"been":[59],"to":[61,103,111,158],"get":[62],"spectra":[64],"noisy":[67],"using":[69],"fully":[71],"connected":[72],"neural":[73],"network.":[74],"Deep":[75],"effectively":[77],"acquires":[78],"context":[80],"information":[81],"and":[85,92,163],"gets":[86],"enhanced":[87],"with":[89,119],"good":[90,165],"quality":[91],"intelligibility":[93],"properties.":[94],"proposed":[96],"algorithm":[97],"tested":[99],"experimentally":[100],"through":[101],"self-comparison":[102],"obtain":[104],"best":[106],"models":[109],"corresponding":[110],"DCHT":[113,124,157],"parameter.":[114,125],"experiment":[116],"performed":[118],"different":[120],"values":[121],"addition,":[127],"well-known":[129],"TIMIT":[130],"database":[131],"evaluation":[135],"purposes.":[136],"Different":[137],"measures":[139],"are":[140],"experiment.":[144],"realized":[146],"results":[147,166],"show":[148],"ability":[150],"trained":[153],"model":[154],"based":[155],"on":[156,167],"enhance":[159],"provide":[164],"specific":[168],"conditions.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
