{"id":"https://openalex.org/W2749579459","doi":"https://doi.org/10.21437/interspeech.2017-1181","title":"Voice-to-Affect Mapping: Inferences on Language Voice Baseline Settings","display_name":"Voice-to-Affect Mapping: Inferences on Language Voice Baseline Settings","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2749579459","doi":"https://doi.org/10.21437/interspeech.2017-1181","mag":"2749579459"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-1181","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2262/92591","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001492005","display_name":"Ailbhe N\u0131\u0301 Chasaide","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ailbhe N\u00ed Chasaide","raw_affiliation_strings":["Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021812458","display_name":"Irena Yanushevskaya","orcid":"https://orcid.org/0000-0003-1161-4625"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Irena Yanushevskaya","raw_affiliation_strings":["Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029071500","display_name":"Christer Gobl","orcid":"https://orcid.org/0000-0002-5958-3891"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Christer Gobl","raw_affiliation_strings":["Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Phonetics and Speech Laboratory, School of Linguistic, Speech and Communication Sciences Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029071500"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.4654,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71090621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1258","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9955000281333923,"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/affect","display_name":"Affect (linguistics)","score":0.9265326857566833},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6194714903831482},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5999434590339661},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5229026675224304},{"id":"https://openalex.org/keywords/phonation","display_name":"Phonation","score":0.4552253484725952},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.44420331716537476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35596203804016113},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34839028120040894},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.25613510608673096},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08643487095832825}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.9265326857566833},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6194714903831482},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5999434590339661},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5229026675224304},{"id":"https://openalex.org/C173988693","wikidata":"https://www.wikidata.org/wiki/Q678132","display_name":"Phonation","level":2,"score":0.4552253484725952},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.44420331716537476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35596203804016113},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34839028120040894},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.25613510608673096},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08643487095832825},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/interspeech.2017-1181","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:http://www.rian.ie/188068/","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/92591","pdf_url":"http://hdl.handle.net/2262/92591","source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"N\u00ed Chasaide, A., Yanushevskaya, I. & Gobl, C., Voice-to-affect mapping: Inferences on language voice baseline settings, INTERSPEECH 2017, Stockholm, Sweden, 2017, 1258 - 1262","raw_type":"Conference item"},{"id":"pmh:oai:tara.tcd.ie:2262/92591","is_oa":false,"landing_page_url":"https://www.isca-speech.org/archive/Interspeech_2017/abstracts/1181.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400387","display_name":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205274468","host_organization_name":"Trinity College Dublin","host_organization_lineage":["https://openalex.org/I205274468"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:http://www.rian.ie/188068/","is_oa":true,"landing_page_url":"http://hdl.handle.net/2262/92591","pdf_url":"http://hdl.handle.net/2262/92591","source":{"id":"https://openalex.org/S4306400033","display_name":"Arrow@dit (Dublin Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I115570527","host_organization_name":"Dublin Institute of Technology","host_organization_lineage":["https://openalex.org/I115570527"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"N\u00ed Chasaide, A., Yanushevskaya, I. & Gobl, C., Voice-to-affect mapping: Inferences on language voice baseline settings, INTERSPEECH 2017, Stockholm, Sweden, 2017, 1258 - 1262","raw_type":"Conference item"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2749579459.pdf","grobid_xml":"https://content.openalex.org/works/W2749579459.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1483501585","https://openalex.org/W1532955422","https://openalex.org/W1605956270","https://openalex.org/W1976725440","https://openalex.org/W2001250300","https://openalex.org/W2022194925","https://openalex.org/W2097613769","https://openalex.org/W2109138290","https://openalex.org/W2146665221","https://openalex.org/W2540285784","https://openalex.org/W2617287553","https://openalex.org/W2741733410","https://openalex.org/W4251867726"],"related_works":["https://openalex.org/W1987047733","https://openalex.org/W2989774764","https://openalex.org/W1914697324","https://openalex.org/W2167212246","https://openalex.org/W2027982229","https://openalex.org/W3013996185","https://openalex.org/W4253972549","https://openalex.org/W3022089375","https://openalex.org/W1995243272","https://openalex.org/W2087303720"],"abstract_inverted_index":{"Modulations":[0],"of":[1,10,53],"the":[2,7,23,39,51,125,156,171,190],"voice":[3,42,54,94,122,145,175],"convey":[4],"affect,":[5],"and":[6,47,72,120,129,137,139,165],"precise":[8],"mapping":[9],"voice-to-affect":[11,65],"may":[12],"vary":[13],"for":[14,44,118],"different":[15,45,93],"languages.":[16,86,158],"However,":[17],"affect-related":[18],"modulations":[19],"occur":[20],"relative":[21],"to":[22,29,33,56,77,152],"baseline":[24,82,126,162],"affect-neutral":[25],"voice,":[26],"which":[27],"tends":[28],"differ":[30],"from":[31,63],"language":[32],"language.":[34],"Little":[35],"is":[36,75,131,167],"known":[37],"about":[38],"characteristic":[40],"long-term":[41],"settings":[43,83],"languages,":[46],"how":[48],"they":[49],"influence":[50],"use":[52],"quality":[55],"signal":[57],"affect.":[58,112],"In":[59],"this":[60],"paper,":[61],"data":[62],"a":[64,98,142,148,181],"perception":[66],"test":[67,88],"involving":[68],"Russian,":[69],"English,":[70,138],"Spanish":[71,128,166],"Japanese":[73,130,164],"subjects":[74],"re-examined":[76],"glean":[78],"insights":[79],"concerning":[80],"likely":[81],"in":[84,115,127,135,155,163],"these":[85],"The":[87],"used":[89],"synthetic":[90],"stimuli":[91],"with":[92,101,111,179,189],"qualities":[95],"(modelled":[96],"on":[97],"male":[99],"voice),":[100],"or":[102],"without":[103],"extreme":[104],"f0":[105],"contours":[106],"as":[107,141,147,186,188],"might":[108],"be":[109,177],"associated":[110,178],"Cross-language":[113],"differences":[114],"affect":[116],"ratings":[117],"modal":[119],"tense":[121,144,174],"suggest":[123],"that":[124,140,173],"inherently":[132],"tenser":[133,161],"than":[134],"Russian":[136],"corollary,":[143],"serves":[146],"more":[149],"potent":[150],"cue":[151],"high-activation":[153,191],"affects":[154],"latter":[157],"A":[159],"relatively":[160],"further":[168],"suggested":[169],"by":[170],"fact":[172],"can":[176],"intimate,":[180],"low":[182],"activation":[183],"state,":[184],"just":[185],"readily":[187],"state":[192],"interested.":[193]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}