{"id":"https://openalex.org/W2896373060","doi":"https://doi.org/10.1109/iswcs.2018.8491055","title":"Voice Quality Assessment in Communication Services using Deep Learning","display_name":"Voice Quality Assessment in Communication Services using Deep Learning","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2896373060","doi":"https://doi.org/10.1109/iswcs.2018.8491055","mag":"2896373060"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs.2018.8491055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs.2018.8491055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","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/A5029327864","display_name":"Franciscone Luiz de Almeida","orcid":null},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Franciscone Luiz de Almeida","raw_affiliation_strings":["Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068813665","display_name":"Renata Lopes Rosa","orcid":"https://orcid.org/0000-0002-5839-0692"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renata Lopes Rosa","raw_affiliation_strings":["Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063050171","display_name":"Dem\u00f3stenes Zegarra Rodr\u00edguez","orcid":"https://orcid.org/0000-0001-5401-7551"},"institutions":[{"id":"https://openalex.org/I1315085146","display_name":"Universidade Federal de Lavras","ror":"https://ror.org/0122bmm03","country_code":"BR","type":"education","lineage":["https://openalex.org/I1315085146"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Demostenes Zegarra Rodriguez","raw_affiliation_strings":["Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Federal University of Lavras, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I1315085146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1315085146"],"apc_list":null,"apc_paid":null,"fwci":1.4959,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83943937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9821000099182129,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8221561908721924},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6937805414199829},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5400780439376831},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5377962589263916},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5189540386199951},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.4919411838054657},{"id":"https://openalex.org/keywords/voice-over-ip","display_name":"Voice over IP","score":0.4486978054046631},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.44420191645622253},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.426181435585022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4121837615966797},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.38060179352760315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32835257053375244},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.26210764050483704},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.2580830454826355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.25002866983413696},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.23512056469917297},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.14660108089447021},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12798535823822021},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09476223587989807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221561908721924},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6937805414199829},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5400780439376831},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5377962589263916},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5189540386199951},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.4919411838054657},{"id":"https://openalex.org/C171246234","wikidata":"https://www.wikidata.org/wiki/Q81945","display_name":"Voice over IP","level":3,"score":0.4486978054046631},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.44420191645622253},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.426181435585022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4121837615966797},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.38060179352760315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32835257053375244},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.26210764050483704},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.2580830454826355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.25002866983413696},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.23512056469917297},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.14660108089447021},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12798535823822021},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09476223587989807},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iswcs.2018.8491055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs.2018.8491055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 15th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W114855041","https://openalex.org/W182494199","https://openalex.org/W1977378547","https://openalex.org/W2081505769","https://openalex.org/W2112635963","https://openalex.org/W2123429490","https://openalex.org/W2132037657","https://openalex.org/W2160675782","https://openalex.org/W2243752967","https://openalex.org/W2391105283","https://openalex.org/W2770807865","https://openalex.org/W2786300205"],"related_works":["https://openalex.org/W2084179496","https://openalex.org/W2319456540","https://openalex.org/W2561422065","https://openalex.org/W2181592696","https://openalex.org/W2040586482","https://openalex.org/W2105499319","https://openalex.org/W2281518884","https://openalex.org/W3172541277","https://openalex.org/W3031398062","https://openalex.org/W3134457781"],"abstract_inverted_index":{"IP":[0,19],"networks":[1,20],"have":[2],"provided":[3],"many":[4],"services,":[5],"such":[6],"as":[7],"telephone":[8],"communications.":[9],"However,":[10],"the":[11,25,39,42,99,104,111,122,129],"Packet":[12],"Loss":[13],"Rate":[14],"(PLR)":[15],"can":[16,23],"occur":[17],"on":[18,64,108],"and":[21,45,86],"it":[22,34],"affect":[24],"users":[26],"Quality":[27,125],"of":[28,41,98,119],"Experience":[29],"(QoE).":[30],"In":[31],"this":[32,55],"case,":[33],"is":[35],"important":[36],"to":[37,46,50,73],"perform":[38],"assessment":[40,101],"speech":[43,52,60,75,79],"quality":[44,61,76,88],"implement":[47],"a":[48,58,87],"methodology":[49],"predict":[51],"quality.":[53],"Thus,":[54],"paper":[56],"presents":[57],"nonintrusive":[59],"model":[62,106],"based":[63,107],"Hybrid":[65],"Discriminative":[66],"Restricted":[67],"Boltzmann":[68],"Machines":[69],"(HDRBM),":[70],"in":[71],"order":[72],"identify":[74],"classes.":[77],"A":[78],"database":[80],"with":[81],"different":[82],"PLRs":[83],"was":[84,90],"built":[85],"index":[89],"found":[91],"for":[92],"each":[93],"file.":[94],"The":[95],"experimental":[96],"results":[97],"performance":[100],"showed":[102],"that":[103],"proposed":[105,123],"HDRBM":[109,130],"overcame":[110],"ITU-T":[112],"recommendation":[113],"P.563.":[114],"Subjective":[115],"tests":[116],"presented":[117],"97.11%":[118],"precision":[120],"using":[121],"Speech":[124],"Classifier":[126],"performed":[127],"by":[128],"approach.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}