{"id":"https://openalex.org/W4200204287","doi":"https://doi.org/10.1109/iccais52680.2021.9624640","title":"Speech Enhancement Based on Attention Mechanism and PG-LSTM Neural Network","display_name":"Speech Enhancement Based on Attention Mechanism and PG-LSTM Neural Network","publication_year":2021,"publication_date":"2021-10-14","ids":{"openalex":"https://openalex.org/W4200204287","doi":"https://doi.org/10.1109/iccais52680.2021.9624640"},"language":"en","primary_location":{"id":"doi:10.1109/iccais52680.2021.9624640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624640","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","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/A5112813413","display_name":"Yuxi Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxi Qin","raw_affiliation_strings":["School of Automation, Xi'an University of Posts and Telecommunications, Xi\u2019 an, China","School of Automation, Xi'an University of Posts and Telecommunications, Xi' an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi'an University of Posts and Telecommunications, Xi\u2019 an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts and Telecommunications, Xi' an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066027287","display_name":"Youming Wang","orcid":"https://orcid.org/0000-0002-5184-2705"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youming Wang","raw_affiliation_strings":["School of Automation, Xi'an University of Posts and Telecommunications, Xi\u2019 an, China","School of Automation, Xi'an University of Posts and Telecommunications, Xi' an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi'an University of Posts and Telecommunications, Xi\u2019 an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts and Telecommunications, Xi' an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112813413"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.172,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37273338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"401","issue":null,"first_page":"763","last_page":"768"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9952999949455261,"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/T13289","display_name":"Infant Health and Development","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8294193744659424},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7881795167922974},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6492131948471069},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6027418375015259},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.5730034708976746},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5519680976867676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5136960744857788},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4464718699455261},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44528526067733765},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4218297600746155},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41426926851272583},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4141640067100525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34145963191986084},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.18128445744514465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8294193744659424},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7881795167922974},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6492131948471069},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6027418375015259},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.5730034708976746},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5519680976867676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5136960744857788},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4464718699455261},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44528526067733765},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4218297600746155},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41426926851272583},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4141640067100525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34145963191986084},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.18128445744514465},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccais52680.2021.9624640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccais52680.2021.9624640","pdf_url":null,"source":{"id":"https://openalex.org/S4363608071","display_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Control, Automation and Information Sciences (ICCAIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482149378","https://openalex.org/W1790748249","https://openalex.org/W1995536493","https://openalex.org/W2046869671","https://openalex.org/W2128653836","https://openalex.org/W2170912900","https://openalex.org/W2398758402","https://openalex.org/W2753394232","https://openalex.org/W2920582663","https://openalex.org/W2973934059","https://openalex.org/W2998616931","https://openalex.org/W3124794156","https://openalex.org/W4245919820"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W2513665862","https://openalex.org/W2738829087","https://openalex.org/W2231565466","https://openalex.org/W1505346162","https://openalex.org/W2034333290"],"abstract_inverted_index":{"Speech":[0],"enhancement":[1,19,79],"is":[2,49,69,91,100,112,138],"a":[3,77,131],"challenging":[4],"problem":[5],"under":[6,185],"low":[7],"signal-to-noise":[8],"ratio,":[9],"and":[10,31,47,68,85,150,189,197],"deep":[11],"learning":[12,25],"has":[13,65],"been":[14],"widely":[15],"used":[16,139,182],"in":[17,43,93,177],"speech":[18,42,78,111,192,195],"tasks":[20],"due":[21],"to":[22,51,71,102,119,129,140,151],"its":[23],"powerful":[24],"ability":[26],"for":[27,134],"data.":[28],"The":[29],"long":[30],"short-term":[32],"memory":[33],"network(LSTM)":[34],"cannot":[35],"fully":[36],"utilize":[37],"the":[38,44,54,59,62,103,109,125,142,147,154,157,172,190],"time-series":[39],"features":[40],"of":[41,146,156,179],"training":[45],"process,":[46],"it":[48],"easy":[50],"fall":[52],"into":[53],"local":[55],"optimal":[56,143],"solution.":[57],"At":[58],"same":[60],"time,":[61],"network":[63,149],"model":[64,105,165],"high":[66],"complexity":[67],"difficult":[70],"train.":[72],"To":[73],"address":[74],"these":[75],"problems,":[76],"method":[80],"based":[81],"on":[82],"attention":[83,97,116],"mechanism":[84,98],"particle":[86,135],"swarm":[87,136],"optimization-genetic":[88],"algorithm":[89,133],"(PG)-LSTM":[90],"proposed":[92,164],"this":[94],"paper.":[95],"An":[96],"layer":[99],"added":[101],"LSTM":[104,148],"before":[106],"training,":[107],"where":[108],"input":[110],"filtered":[113],"using":[114],"an":[115],"scoring":[117],"criterion":[118],"obtain":[120],"more":[121],"temporal":[122],"information":[123],"about":[124],"speech.":[126],"In":[127],"addition":[128],"this,":[130],"genetic":[132],"optimization":[137],"find":[141],"weight":[144],"parameters":[145],"speed":[152],"up":[153],"convergence":[155],"network.":[158],"Experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"our":[163],"can":[166],"achieve":[167],"considerably":[168],"better":[169,194],"performance":[170],"than":[171],"other":[173],"three":[174],"comparison":[175],"models":[176],"terms":[178],"two":[180,186],"commonly":[181],"evaluation":[183],"metrics":[184],"noise":[187],"conditions,":[188],"enhanced":[191],"obtains":[193],"quality":[196],"intelligibility.":[198]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
