{"id":"https://openalex.org/W2061142956","doi":"https://doi.org/10.1155/2008/185248","title":"On the Evaluation of the Conversational Speech Quality in Telecommunications","display_name":"On the Evaluation of the Conversational Speech Quality in Telecommunications","publication_year":2008,"publication_date":"2008-03-24","ids":{"openalex":"https://openalex.org/W2061142956","doi":"https://doi.org/10.1155/2008/185248","mag":"2061142956"},"language":"en","primary_location":{"id":"doi:10.1155/2008/185248","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/185248","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/185248","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/185248","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036144436","display_name":"Marie Gu\u00e9guin","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Marie Gu\u00e9guin","raw_affiliation_strings":["Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651"]},{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061343855","display_name":"R\u00e9gine Le Bouquin Jeann\u00e8s","orcid":"https://orcid.org/0000-0002-4050-2895"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R\u00e9gine Le Bouquin-Jeann\u00e8s","raw_affiliation_strings":["Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651"]},{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020466769","display_name":"Val\u00e9rie Gautier-Turbin","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Val\u00e9rie Gautier-Turbin","raw_affiliation_strings":["France Telecom R&D, TECH/SSTP/MOV, F-22307, Lannion, France","France Telecom R&D, TECH/SSTP/MOV, Lannion, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D, TECH/SSTP/MOV, F-22307, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, TECH/SSTP/MOV, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058822882","display_name":"G. Faucon","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210105651","display_name":"Laboratoire Traitement du Signal et de l'Image","ror":"https://ror.org/01f1amm71","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I4210105774","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G\u00e9rard Faucon","raw_affiliation_strings":["Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM U642, Universit\u00e9 de Rennes 1, Campus de Beaulieu, F-35042, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651"]},{"raw_affiliation_string":"Laboratoire Traitement du Signal et de l'Image, INSERM, Universit\u00e9 de Rennes 1, Rennes, Cedex, France","institution_ids":["https://openalex.org/I154526488","https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078045893","display_name":"Vincent Barriac","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Vincent Barriac","raw_affiliation_strings":["France Telecom R&D, TECH/SSTP/MOV, F-22307, Lannion, France","France Telecom R&D, TECH/SSTP/MOV, Lannion, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"France Telecom R&D, TECH/SSTP/MOV, F-22307, Lannion, France","institution_ids":["https://openalex.org/I19370010"]},{"raw_affiliation_string":"France Telecom R&D, TECH/SSTP/MOV, Lannion, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036144436"],"corresponding_institution_ids":["https://openalex.org/I154526488","https://openalex.org/I4210105651","https://openalex.org/I56067802"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":4.3164,"has_fulltext":true,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9346606,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2008","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"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":0.9983000159263611,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/active-listening","display_name":"Active listening","score":0.7402995824813843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7306514978408813},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.604411244392395},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.598111629486084},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5448325872421265},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5433422327041626},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5301865935325623},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5230560898780823},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.46460312604904175},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45154309272766113},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4312955141067505},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4304194748401642},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42585939168930054},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4232426881790161},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2832565903663635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24848967790603638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22289052605628967},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1832820475101471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12385892868041992}],"concepts":[{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.7402995824813843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7306514978408813},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.604411244392395},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.598111629486084},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5448325872421265},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5433422327041626},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5301865935325623},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5230560898780823},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.46460312604904175},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45154309272766113},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4312955141067505},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4304194748401642},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42585939168930054},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4232426881790161},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2832565903663635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24848967790603638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22289052605628967},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1832820475101471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12385892868041992},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2008/185248","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/185248","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/185248","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-00272223v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00272223","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Eurasip Journal on Applied Signal Processing, 2008, pp.185248. ⟨10.1155/2008/185248⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:aed3e075156a4089a25b03c6530b5a78","is_oa":true,"landing_page_url":"https://doaj.org/article/aed3e075156a4089a25b03c6530b5a78","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2008/185248","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2008/185248","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2008/185248","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2061142956.pdf","grobid_xml":"https://content.openalex.org/works/W2061142956.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W95300890","https://openalex.org/W113013245","https://openalex.org/W166267468","https://openalex.org/W632056508","https://openalex.org/W1484385126","https://openalex.org/W1495285166","https://openalex.org/W1579630732","https://openalex.org/W1581848821","https://openalex.org/W1597330042","https://openalex.org/W1606614440","https://openalex.org/W1789794644","https://openalex.org/W2044760527","https://openalex.org/W2058542017","https://openalex.org/W2091410317","https://openalex.org/W2115034498","https://openalex.org/W2127090966","https://openalex.org/W2141140061","https://openalex.org/W2204452154","https://openalex.org/W4231807801"],"related_works":["https://openalex.org/W2475724061","https://openalex.org/W2773393136","https://openalex.org/W2174706483","https://openalex.org/W419536403","https://openalex.org/W2506280730","https://openalex.org/W2997121352","https://openalex.org/W31220157","https://openalex.org/W2288557197","https://openalex.org/W4233024177","https://openalex.org/W2101914902"],"abstract_inverted_index":{"We":[0],"propose":[1],"an":[2,89,144],"objective":[3,145,158,163],"method":[4],"to":[5,32,68,88,143],"assess":[6],"speech":[7,21,77,167],"quality":[8],"in":[9,128,196],"the":[10,17,24,33,40,59,80,93,109,121,129,133,136,171,185,190,197],"conversational":[11,94,175],"context":[12],"by":[13,147,161,166,182],"taking":[14],"into":[15,53],"account":[16],"talking":[18,149,155],"and":[19,23,47,55,75,79,99,104,111,150,156,188],"listening":[20,76,151,157],"qualities":[22,78],"impact":[25],"of":[26,35,42,92,123,135],"delay.":[27],"This":[28],"approach":[29],"is":[30,51,66,118,140],"applied":[31,67,142],"results":[34,187],"four":[36],"subjective":[37,103,125,152,172],"tests":[38],"on":[39,108,120],"effects":[41],"echo,":[43],"delay,":[44],"packet":[45],"loss,":[46],"noise.":[48],"The":[49,83,138,174],"dataset":[50],"divided":[52],"training":[54,60,110],"validation":[56,112,117],"sets.":[57,113],"For":[58],"set,":[61],"a":[62,70,116,124],"multiple":[63,84],"linear":[64,85],"regression":[65,86],"determine":[69],"relationship":[71,139],"between":[72,102],"conversational,":[73],"talking,":[74],"delay":[81],"value.":[82],"leads":[87],"accurate":[90],"estimation":[91],"scores":[95,153,159],"with":[96,154,184,189],"high":[97,178],"correlation":[98],"low":[100],"error":[101],"estimated":[105],"scores,":[106],"both":[107],"In":[114],"addition,":[115],"performed":[119],"data":[122],"test":[126,186],"found":[127],"literature":[130],"which":[131],"confirms":[132],"reliability":[134],"regression.":[137],"then":[141],"level":[146],"replacing":[148],"provided":[160],"existing":[162,191],"models,":[164],"fed":[165],"signals":[168],"recorded":[169],"during":[170],"tests.":[173],"model":[176],"achieves":[177],"performance":[179],"as":[180],"revealed":[181],"comparison":[183],"standard":[192],"methodology":[193],"\"E-model,\"":[194],"presented":[195],"ITU-T":[198],"(International":[199],"Telecommunication":[200],"Union)":[201],"Recommendation":[202],"G.107.":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2016-06-24T00:00:00"}