{"id":"https://openalex.org/W4226107067","doi":"https://doi.org/10.1109/tr.2022.3160587","title":"Interference Quality Assessment of Speech Communication Based on Deep Learning","display_name":"Interference Quality Assessment of Speech Communication Based on Deep Learning","publication_year":2022,"publication_date":"2022-04-07","ids":{"openalex":"https://openalex.org/W4226107067","doi":"https://doi.org/10.1109/tr.2022.3160587"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2022.3160587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2022.3160587","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","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/A5100350759","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0003-1131-9810"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1131-9810","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778980","display_name":"Yun Lin","orcid":"https://orcid.org/0000-0002-4002-1282"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Lin","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-4002-1282","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047749322","display_name":"Ming Hao","orcid":"https://orcid.org/0000-0003-1557-4368"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Hao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-1557-4368","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025709527","display_name":"Huaitao Xu","orcid":"https://orcid.org/0000-0002-7536-1586"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaitao Xu","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-7536-1586","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018710096","display_name":"Qiao Tian","orcid":"https://orcid.org/0000-0001-8177-7724"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Tian","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin, China","College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-8177-7724","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100350759"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":1.1903,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76967979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"71","issue":"2","first_page":"1011","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9980000257492065,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.8162131905555725},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.7090578675270081},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6469985842704773},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6293306350708008},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.5998860001564026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5057387351989746},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.505155622959137},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44697439670562744},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42358309030532837},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.4162406325340271},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.3912830352783203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35188591480255127},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.088324636220932},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.06378638744354248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8162131905555725},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7090578675270081},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6469985842704773},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6293306350708008},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.5998860001564026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5057387351989746},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.505155622959137},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44697439670562744},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42358309030532837},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.4162406325340271},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.3912830352783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35188591480255127},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.088324636220932},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.06378638744354248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2022.3160587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2022.3160587","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G5470326231","display_name":null,"funder_award_id":"3072021CF0801","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321939","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1535755911","https://openalex.org/W1637570796","https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W2099056604","https://openalex.org/W2148154194","https://openalex.org/W2194775991","https://openalex.org/W2512120017","https://openalex.org/W2512636633","https://openalex.org/W2526409599","https://openalex.org/W2613989746","https://openalex.org/W2618530766","https://openalex.org/W2749744051","https://openalex.org/W2770597112","https://openalex.org/W2772387500","https://openalex.org/W2902517771","https://openalex.org/W2908997014","https://openalex.org/W2911964244","https://openalex.org/W2918849697","https://openalex.org/W2944516304","https://openalex.org/W2944695781","https://openalex.org/W2947862783","https://openalex.org/W2948106126","https://openalex.org/W2963045393","https://openalex.org/W2963454111","https://openalex.org/W3013935691","https://openalex.org/W3015706940","https://openalex.org/W3081496358","https://openalex.org/W3088383832","https://openalex.org/W3098755434","https://openalex.org/W3143197996","https://openalex.org/W3146023480","https://openalex.org/W3197000153","https://openalex.org/W6636885848","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6675521023","https://openalex.org/W6739879593","https://openalex.org/W6757355660","https://openalex.org/W6986431730"],"related_works":["https://openalex.org/W4214896311","https://openalex.org/W642007152","https://openalex.org/W2401827384","https://openalex.org/W2355290951","https://openalex.org/W2069501481","https://openalex.org/W2052688117","https://openalex.org/W2552102772","https://openalex.org/W2103239478","https://openalex.org/W4294771049","https://openalex.org/W1523214805"],"abstract_inverted_index":{"In":[0,69,91],"this":[1,48,70,98,119,130],"article,":[2,49],"interferencequality":[3],"assessment":[4,22],"is":[5,132,165],"of":[6,37,77,89,97,129,136],"great":[7],"significance":[8],"to":[9,64,93,121,171],"reflect":[10],"the":[11,26,31,72,95,123,127,148,152,158,163],"communication":[12,17,32,41,108],"environment":[13,42],"and":[14,110,126],"improve":[15],"speech":[16,28,67,79,103],"performance.":[18],"However,":[19],"most":[20],"traditional":[21],"approaches":[23],"aimed":[24],"at":[25],"degraded":[27],"produced":[29],"in":[30,39,47,105],"telephone":[33],"network,":[34],"but":[35],"lacking":[36],"methods":[38],"extreme":[40],"with":[43,134,157],"ultralow":[44],"SNR.":[45],"Therefore,":[46],"we":[50,100],"proposed":[51,149],"a":[52,102],"convolutional":[53],"neural":[54],"network":[55],"(CNN)":[56],"model":[57],"evaluation":[58,139,154],"method":[59,131,140,150],"based":[60],"on":[61,118],"Log-Mel":[62],"spectrogram":[63],"evaluate":[65,122],"interfered":[66,107],"quality.":[68],"method,":[71,99],"Mel":[73],"frequency":[74],"cepstrum":[75],"coefficients":[76],"interference":[78,124],"are":[80,85,115],"converted":[81],"into":[82],"images,":[83],"which":[84],"used":[86],"as":[87],"input":[88],"CNN.":[90],"order":[92],"verify":[94],"performance":[96,128],"collected":[101],"dataset":[104,120],"real":[106],"scenarios":[109],"finished":[111],"manual":[112],"annotation.":[113],"Experiments":[114],"carried":[116],"out":[117],"speech,":[125],"compared":[133],"that":[135,147],"machine":[137,160],"learning":[138,161],"under":[141],"different":[142],"features.":[143],"Experimental":[144],"results":[145],"show":[146],"gives":[151],"better":[153],"accuracy.":[155],"Compared":[156],"previous":[159],"methods,":[162],"accuracy":[164],"improved":[166],"by":[167],"12.5%":[168],"from":[169],"75%":[170],"87.5%.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
