{"id":"https://openalex.org/W2094983167","doi":"https://doi.org/10.1145/1389095.1389402","title":"VoIP speech quality estimation in a mixed context with genetic programming","display_name":"VoIP speech quality estimation in a mixed context with genetic programming","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2094983167","doi":"https://doi.org/10.1145/1389095.1389402","mag":"2094983167"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389402","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","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/A5112454298","display_name":"Adil Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Adil Raja","raw_affiliation_strings":["University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054830021","display_name":"R. Muhammad Atif Azad","orcid":"https://orcid.org/0000-0002-4013-5415"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"R. Muhammad Atif Azad","raw_affiliation_strings":["University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102075859","display_name":"Colin Flanagan","orcid":null},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Colin Flanagan","raw_affiliation_strings":["University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082264857","display_name":"Conor Ryan","orcid":"https://orcid.org/0000-0002-7002-5815"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Conor Ryan","raw_affiliation_strings":["University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7633,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.87815423,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1627","last_page":"1634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9889000058174133,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9889000058174133,"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/computer-science","display_name":"Computer science","score":0.8521738052368164},{"id":"https://openalex.org/keywords/voice-over-ip","display_name":"Voice over IP","score":0.7120611071586609},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6690582633018494},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5845497846603394},{"id":"https://openalex.org/keywords/wideband-audio","display_name":"Wideband audio","score":0.5316831469535828},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5186416506767273},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4931456446647644},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4669068455696106},{"id":"https://openalex.org/keywords/narrowband","display_name":"Narrowband","score":0.44475436210632324},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.4158291518688202},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.41289401054382324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3369499444961548},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2790765166282654},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2136991024017334},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.08313485980033875},{"id":"https://openalex.org/keywords/digital-audio","display_name":"Digital audio","score":0.07847541570663452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8521738052368164},{"id":"https://openalex.org/C171246234","wikidata":"https://www.wikidata.org/wiki/Q81945","display_name":"Voice over IP","level":3,"score":0.7120611071586609},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6690582633018494},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5845497846603394},{"id":"https://openalex.org/C173391809","wikidata":"https://www.wikidata.org/wiki/Q2740189","display_name":"Wideband audio","level":5,"score":0.5316831469535828},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5186416506767273},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4931456446647644},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4669068455696106},{"id":"https://openalex.org/C2776096036","wikidata":"https://www.wikidata.org/wiki/Q1140483","display_name":"Narrowband","level":2,"score":0.44475436210632324},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.4158291518688202},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.41289401054382324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3369499444961548},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2790765166282654},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2136991024017334},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.08313485980033875},{"id":"https://openalex.org/C87687168","wikidata":"https://www.wikidata.org/wiki/Q173114","display_name":"Digital audio","level":4,"score":0.07847541570663452},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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":2,"locations":[{"id":"doi:10.1145/1389095.1389402","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.153.200","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1627.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W113013245","https://openalex.org/W199640592","https://openalex.org/W590686347","https://openalex.org/W1484473245","https://openalex.org/W1507965776","https://openalex.org/W1519072852","https://openalex.org/W1560838671","https://openalex.org/W1576818901","https://openalex.org/W1604434652","https://openalex.org/W1915369845","https://openalex.org/W1968889106","https://openalex.org/W2007579064","https://openalex.org/W2105955543","https://openalex.org/W2109617666","https://openalex.org/W2130418955","https://openalex.org/W2140646420","https://openalex.org/W2277739345","https://openalex.org/W4213327113"],"related_works":["https://openalex.org/W2017913521","https://openalex.org/W2922244040","https://openalex.org/W1998855589","https://openalex.org/W1973628965","https://openalex.org/W2140646420","https://openalex.org/W2137927185","https://openalex.org/W1968385191","https://openalex.org/W2040901912","https://openalex.org/W2639995673","https://openalex.org/W2374470469"],"abstract_inverted_index":{"Voice":[0],"over":[1],"IP":[2],"(VoIP)":[3],"speech":[4,22,102,121,133,180,206],"quality":[5,23,122,167,209,221],"estimation":[6,24,74],"is":[7,129,182],"crucial":[8],"to":[9,19,61,92,143,160,169,184,207,227,237,250],"providing":[10],"optimal":[11],"Quality":[12,73],"of":[13,35,117,132,153,179,188,202,205,261],"Service":[14],"(QoS).":[15],"This":[16,146],"paper":[17,147],"seeks":[18],"provide":[20],"improved":[21],"models":[25,163,230,247,256],"with":[26,63,94],"better":[27],"prediction":[28,234],"accuracy":[29],"by":[30,136,149,195],"considering":[31,150],"a":[32,48,76,80,115,124,151,170,185,259],"richer":[33],"set":[34,178],"input":[36,216],"features":[37,217],"than":[38],"the":[39,64,70,95,101,105,120,166,196,212,215,220,238,246,254],"current":[40],"International":[41],"Telecommunications":[42],"Union-Telecommunication":[43],"(ITU-T)":[44],"recommendations.":[45],"It":[46],"addresses":[47],"transitional":[49],"phase,":[50],"where":[51,245],"wideband":[52],"(WB)":[53],"networks":[54],"are":[55,193,248],"becoming":[56],"available.":[57],"However,":[58,98],"they":[59],"have":[60],"co-exist":[62],"existing":[65,243],"narrowband":[66],"(NB)":[67],"setups":[68],"for":[69],"time":[71],"being.":[72],"becomes":[75],"challenge":[77],"in":[78,104],"such":[79],"mixed":[81,96],"context.":[82,97],"The":[83,127,190],"ITU-T":[84],"recommendation":[85],"(termed":[86],"E-Model)":[87],"has":[88],"recently":[89],"been":[90],"extended":[91],"deal":[93],"it":[99],"evaluates":[100],"degradation":[103,168],"WB":[106],"scenario":[107],"based":[108],"solely":[109],"on":[110,123],"codec":[111],"related":[112],"distortions":[113,213],"(only":[114],"subset":[116],"factors":[118],"affecting":[119],"VoIP":[125],"network).":[126],"extension":[128],"derived":[130],"out":[131],"signals":[134,192],"evaluated":[135,194],"human":[137,203],"subjects:":[138],"an":[139,176],"expensive":[140],"and":[141,218],"difficult":[142],"reproduce":[144],"exercise.":[145],"innovates":[148],"number":[152],"other":[154],"network":[155],"distortion":[156],"types":[157],"as":[158,214],"well":[159],"produce":[161,208,228],"generalised":[162],"that":[164,231],"predict":[165],"higher":[171],"accuracy.":[172],"To":[173],"this":[174],"end,":[175],"extensive":[177],"samples":[181],"subjected":[183],"wide":[186],"variety":[187,260],"distortions.":[189],"degraded":[191],"currently":[197],"best":[198],"available":[199],"algorithmic":[200],"approximation":[201],"evaluation":[204],"scores.":[210],"Using":[211],"targeting":[219],"scores,":[222],"we":[223],"employ":[224],"Genetic":[225],"Programming":[226],"parsimonious":[229],"show":[232],"considerable":[233],"gain":[235],"compared":[236],"E-Model.":[239],"As":[240],"against":[241],"some":[242],"approaches,":[244],"tailored":[249],"various":[251],"telephony":[252],"codecs,":[253],"evolved":[255],"generalise":[257],"across":[258],"modern":[262],"codecs.":[263]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
