{"id":"https://openalex.org/W3159816387","doi":"https://doi.org/10.1109/qomex51781.2021.9465465","title":"Speech Quality Assessment in Crowdsourcing: Comparison Category Rating Method","display_name":"Speech Quality Assessment in Crowdsourcing: Comparison Category Rating Method","publication_year":2021,"publication_date":"2021-06-14","ids":{"openalex":"https://openalex.org/W3159816387","doi":"https://doi.org/10.1109/qomex51781.2021.9465465","mag":"3159816387"},"language":"en","primary_location":{"id":"doi:10.1109/qomex51781.2021.9465465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex51781.2021.9465465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.04371","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069905492","display_name":"Babak Naderi","orcid":"https://orcid.org/0009-0006-4778-5417"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Babak Naderi","raw_affiliation_strings":["Quality and Usability Lab, Technische Universit\u00e4t Berlin, Germany","Technische Universit\u00e4t Berlin, Quality & Usability Lab, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quality and Usability Lab, Technische Universit\u00e4t Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Quality & Usability Lab, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075001284","display_name":"Sebastian M\u00f6ller","orcid":"https://orcid.org/0000-0003-3057-0760"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Moller","raw_affiliation_strings":["DFKI Projektb\u00fcro Berlin, Germany","Quality and Usability Lab, Technische Universit\u00e4t Berlin, Germany","Technische Universit\u00e4t Berlin, Quality & Usability Lab, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DFKI Projektb\u00fcro Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"Quality and Usability Lab, Technische Universit\u00e4t Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Technische Universit\u00e4t Berlin, Quality & Usability Lab, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068040769","display_name":"Ross Cutler","orcid":"https://orcid.org/0000-0002-2004-3003"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ross Cutler","raw_affiliation_strings":["Microsoft Corp, USA","Microsoft Corp,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corp, USA","institution_ids":["https://openalex.org/I1290206253"]},{"raw_affiliation_string":"Microsoft Corp,USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"31","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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":0.9994000196456909,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9738418459892273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6508247256278992},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5520725846290588},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5332339406013489},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5125718116760254},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43653571605682373},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42571598291397095},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.41463518142700195},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33592313528060913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3268631100654602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31636887788772583},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.10010397434234619},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07151332497596741},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0697302520275116}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9738418459892273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508247256278992},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5520725846290588},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5332339406013489},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5125718116760254},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43653571605682373},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42571598291397095},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.41463518142700195},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33592313528060913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3268631100654602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31636887788772583},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.10010397434234619},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07151332497596741},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0697302520275116},{"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/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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/qomex51781.2021.9465465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex51781.2021.9465465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 13th International Conference on Quality of Multimedia Experience (QoMEX)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2104.04371","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.04371","pdf_url":"https://arxiv.org/pdf/2104.04371","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3159816387","is_oa":true,"landing_page_url":"http://ui.adsabs.harvard.edu/abs/2021arXiv210404371N/abstract","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2104.04371","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2104.04371","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2104.04371","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2104.04371","pdf_url":"https://arxiv.org/pdf/2104.04371","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3159816387.pdf","grobid_xml":"https://content.openalex.org/works/W3159816387.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1595637775","https://openalex.org/W2013861934","https://openalex.org/W2341853547","https://openalex.org/W2408491799","https://openalex.org/W2486436843","https://openalex.org/W2791182566","https://openalex.org/W2955658443","https://openalex.org/W3013102888","https://openalex.org/W3015717277","https://openalex.org/W3025844872","https://openalex.org/W3037833165","https://openalex.org/W3107070581","https://openalex.org/W6704415283","https://openalex.org/W6713691824","https://openalex.org/W6793440971"],"related_works":["https://openalex.org/W3173213924","https://openalex.org/W3156261091","https://openalex.org/W2074192013","https://openalex.org/W3015717277","https://openalex.org/W2475123832","https://openalex.org/W1993219564","https://openalex.org/W3003577775","https://openalex.org/W961502687","https://openalex.org/W2061844755","https://openalex.org/W1998168802","https://openalex.org/W2599182796","https://openalex.org/W3183705746","https://openalex.org/W2011049193","https://openalex.org/W1997939042","https://openalex.org/W2986428271","https://openalex.org/W2053005719","https://openalex.org/W2794225859","https://openalex.org/W2071029697","https://openalex.org/W2579586657","https://openalex.org/W2391328668"],"abstract_inverted_index":{"Traditionally,":[0],"Quality":[1],"of":[2,36,96,104,152],"Experience":[3],"(QoE)":[4],"for":[5,20,49,90,109,127,134],"a":[6,12,34,53,190],"communication":[7],"system":[8],"is":[9,23,61,87,189],"evaluated":[10],"through":[11],"subjective":[13],"test.":[14],"The":[15,56,84,117],"most":[16],"common":[17],"test":[18,42,107,133,166,172,194],"method":[19,86,119],"speech":[21,111],"QoE":[22],"the":[24,40,81,94,105,114,123,132,135,139,150,153,164,176,184],"Absolute":[25],"Category":[26,58],"Rating":[27,59],"(ACR),":[28],"in":[29,65,113,122,175,187],"which":[30,66],"participants":[31,67],"listen":[32,68],"to":[33,69,80],"set":[35],"stimuli,":[37],"processed":[38,73],"by":[39],"underlying":[41],"conditions,":[43],"and":[44,72,75,145,178,192],"rate":[45,76],"their":[46,77],"perceived":[47],"quality":[48,78,95,112],"each":[50],"stimulus":[51],"on":[52],"specific":[54],"scale.":[55],"Comparison":[57],"(CCR)":[60],"another":[62],"standard":[63],"approach":[64,137],"both":[70],"reference":[71],"stimuli":[74],"compared":[79,163],"other":[82],"one.":[83],"CCR":[85,106,118,154,165,185],"particularly":[88],"suitable":[89],"systems":[91],"that":[92,149,183],"improve":[93],"input":[97],"speech.":[98],"This":[99],"paper":[100],"evaluates":[101],"an":[102],"adaptation":[103],"procedure":[108,155,186],"assessing":[110],"crowdsourcing":[115,136,157,188],"set-up.":[116],"was":[120],"introduced":[121],"ITU-T":[124,142],"Rec.":[125,143],"P.800":[126,144],"laboratory-based":[128],"experiments.":[129],"We":[130,147,161],"adapted":[131],"following":[138],"guidelines":[140],"from":[141],"P.808.":[146],"show":[148,182],"results":[151,167,181],"via":[156],"are":[158],"highly":[159],"reproducible.":[160],"also":[162],"with":[168],"widely":[169],"used":[170],"ACR":[171],"procedures":[173],"obtained":[174],"laboratory":[177],"crowdsourcing.":[179],"Our":[180],"reliable":[191],"valid":[193],"method.":[195]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
