{"id":"https://openalex.org/W2965782104","doi":"https://doi.org/10.1145/3332146","title":"On the Impact of Voice Encoding and Transmission on the Predictions of Speaker Warmth and Attractiveness","display_name":"On the Impact of Voice Encoding and Transmission on the Predictions of Speaker Warmth and Attractiveness","publication_year":2019,"publication_date":"2019-07-26","ids":{"openalex":"https://openalex.org/W2965782104","doi":"https://doi.org/10.1145/3332146","mag":"2965782104"},"language":"en","primary_location":{"id":"doi:10.1145/3332146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3332146","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5003227551","display_name":"Laura Fern\u00e1ndez Gallardo","orcid":null},"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":true,"raw_author_name":"Laura Fern\u00e1ndez Gallardo","raw_affiliation_strings":["Technische Universit\u00e4t Berlin"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Berlin","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045826706","display_name":"Ram\u00f3n Sanchez\u2010Iborra","orcid":"https://orcid.org/0000-0002-0069-3017"},"institutions":[{"id":"https://openalex.org/I80180929","display_name":"Universidad de Murcia","ror":"https://ror.org/03p3aeb86","country_code":"ES","type":"education","lineage":["https://openalex.org/I80180929"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ramon Sanchez-Iborra","raw_affiliation_strings":["University of Murcia, Spain"],"affiliations":[{"raw_affiliation_string":"University of Murcia, Spain","institution_ids":["https://openalex.org/I80180929"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003227551"],"corresponding_institution_ids":["https://openalex.org/I4577782"],"apc_list":null,"apc_paid":null,"fwci":0.5009,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63225806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":"4","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484526634216309},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6320395469665527},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.506473183631897},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5061799883842468},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.45482686161994934},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.4346923530101776},{"id":"https://openalex.org/keywords/telephone-network","display_name":"Telephone network","score":0.4210224151611328},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4118131995201111},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.342790424823761},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.29724758863449097},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2679641842842102},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1932384967803955},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14096826314926147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484526634216309},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6320395469665527},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.506473183631897},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5061799883842468},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.45482686161994934},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.4346923530101776},{"id":"https://openalex.org/C197698232","wikidata":"https://www.wikidata.org/wiki/Q2354216","display_name":"Telephone network","level":2,"score":0.4210224151611328},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4118131995201111},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.342790424823761},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.29724758863449097},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2679641842842102},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1932384967803955},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14096826314926147},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3332146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3332146","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G228147372","display_name":null,"funder_award_id":"Grant 13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G3993907298","display_name":null,"funder_award_id":"13/RC/2106","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G667497815","display_name":null,"funder_award_id":"IoTCrawler Project (contract 779852)","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W73056518","https://openalex.org/W130413539","https://openalex.org/W573259127","https://openalex.org/W1966784416","https://openalex.org/W1981698053","https://openalex.org/W2045053352","https://openalex.org/W2090777335","https://openalex.org/W2109617666","https://openalex.org/W2117292163","https://openalex.org/W2160736363","https://openalex.org/W2162899796","https://openalex.org/W2165312226","https://openalex.org/W2168094886","https://openalex.org/W2206274971","https://openalex.org/W2239141610","https://openalex.org/W2284669228","https://openalex.org/W2400139865","https://openalex.org/W2403076297","https://openalex.org/W2476113713","https://openalex.org/W2490582752","https://openalex.org/W2514644265","https://openalex.org/W2518110751","https://openalex.org/W2530607852","https://openalex.org/W2567591224","https://openalex.org/W2572102653","https://openalex.org/W2625435062","https://openalex.org/W2708494220","https://openalex.org/W2731774343","https://openalex.org/W2746207007","https://openalex.org/W2747172199","https://openalex.org/W2747368236","https://openalex.org/W2749579459","https://openalex.org/W2759818560","https://openalex.org/W2767654891","https://openalex.org/W2789907163","https://openalex.org/W2791177498","https://openalex.org/W2807366589","https://openalex.org/W2890712380","https://openalex.org/W4212962367","https://openalex.org/W4230964063","https://openalex.org/W4231033168","https://openalex.org/W4235804971","https://openalex.org/W6683712948"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W571718472","https://openalex.org/W3172030588","https://openalex.org/W114661351"],"abstract_inverted_index":{"Modern":[0],"human-computer":[1],"interaction":[2],"systems":[3,47],"may":[4,27],"not":[5],"only":[6],"be":[7,28,68,184],"based":[8],"on":[9,15],"interpreting":[10],"natural":[11],"language":[12],"but":[13],"also":[14],"detecting":[16],"speaker":[17,64],"interpersonal":[18],"characteristics":[19],"in":[20,32,60,74],"order":[21],"to":[22,110,137,183],"determine":[23],"dialog":[24],"strategies.":[25],"This":[26,84,144],"of":[29,56,90,133,151,164,169],"high":[30,91],"interest":[31],"different":[33,97,170],"fields":[34],"such":[35,46],"as":[36],"telephone":[37],"marketing":[38],"or":[39],"automatic":[40],"voice-based":[41],"interactive":[42],"services.":[43],"However,":[44],"when":[45],"encounter":[48],"signals":[49],"transmitted":[50],"over":[51,96],"a":[52,87,152],"communication":[53,82],"network":[54],"instead":[55],"clean":[57,111],"speech,":[58],"e.g.,":[59],"call":[61],"centers,":[62],"the":[63,71,75,79,124,127,138,149,158,162],"characterization":[65],"accuracy":[66],"might":[67],"impaired":[69],"by":[70,78],"degradations":[72],"caused":[73],"speech":[76,112],"signal":[77],"encoding":[80,100],"and":[81,99],"processes.":[83],"article":[85],"addresses":[86],"binary":[88],"classification":[89,134,139],"versus":[92],"low":[93],"warm--attractive":[94],"speakers":[95],"channel":[98],"conditions.":[101],"The":[102,167],"ground":[103],"truth":[104],"is":[105,145],"derived":[106],"from":[107,114],"ratings":[108],"given":[109],"extracted":[113],"an":[115],"extensive":[116],"subjective":[117],"test.":[118],"Our":[119],"results":[120],"show":[121],"that,":[122],"under":[123],"considered":[125],"conditions,":[126],"AMR-WB+":[128],"codec":[129],"permits":[130],"good":[131],"levels":[132],"accuracy,":[135],"comparable":[136],"with":[140],"clean,":[141],"non-degraded":[142],"speech.":[143],"especially":[146],"notable":[147],"for":[148],"case":[150],"Random":[153],"Forest-based":[154],"classifier,":[155],"which":[156],"presents":[157],"best":[159],"performance":[160],"among":[161],"set":[163],"evaluated":[165],"algorithms.":[166],"impact":[168],"packet":[171],"loss":[172],"rates":[173],"has":[174],"been":[175,181],"examined,":[176],"whereas":[177],"jitter":[178],"effects":[179],"have":[180],"found":[182],"negligible.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}