{"id":"https://openalex.org/W4416250054","doi":"https://doi.org/10.1109/waspaa66052.2025.11230929","title":"Listening Intention Estimation for Hearables with Natural Behavior Cues","display_name":"Listening Intention Estimation for Hearables with Natural Behavior Cues","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W4416250054","doi":"https://doi.org/10.1109/waspaa66052.2025.11230929"},"language":null,"primary_location":{"id":"doi:10.1109/waspaa66052.2025.11230929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","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/A5051473693","display_name":"Pascal Baumann","orcid":"https://orcid.org/0000-0002-9371-0807"},"institutions":[{"id":"https://openalex.org/I81007117","display_name":"Lucerne University of Applied Sciences and Arts","ror":"https://ror.org/04nd0xd48","country_code":"CH","type":"education","lineage":["https://openalex.org/I81007117"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Pascal Baumann","raw_affiliation_strings":["Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343"],"affiliations":[{"raw_affiliation_string":"Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343","institution_ids":["https://openalex.org/I81007117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119177822","display_name":"Seraina Glaus","orcid":null},"institutions":[{"id":"https://openalex.org/I81007117","display_name":"Lucerne University of Applied Sciences and Arts","ror":"https://ror.org/04nd0xd48","country_code":"CH","type":"education","lineage":["https://openalex.org/I81007117"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Seraina Glaus","raw_affiliation_strings":["Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343"],"affiliations":[{"raw_affiliation_string":"Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343","institution_ids":["https://openalex.org/I81007117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005775483","display_name":"Ludovic Amruthalingam","orcid":"https://orcid.org/0000-0001-5980-5469"},"institutions":[{"id":"https://openalex.org/I81007117","display_name":"Lucerne University of Applied Sciences and Arts","ror":"https://ror.org/04nd0xd48","country_code":"CH","type":"education","lineage":["https://openalex.org/I81007117"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ludovic Amruthalingam","raw_affiliation_strings":["Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343"],"affiliations":[{"raw_affiliation_string":"Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343","institution_ids":["https://openalex.org/I81007117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062704748","display_name":"Fabian Gr\u00f6ger","orcid":"https://orcid.org/0000-0002-9699-688X"},"institutions":[{"id":"https://openalex.org/I81007117","display_name":"Lucerne University of Applied Sciences and Arts","ror":"https://ror.org/04nd0xd48","country_code":"CH","type":"education","lineage":["https://openalex.org/I81007117"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Fabian Gr\u00f6ger","raw_affiliation_strings":["Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343"],"affiliations":[{"raw_affiliation_string":"Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343","institution_ids":["https://openalex.org/I81007117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049999256","display_name":"Ruksana Giurda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114179","display_name":"Sonova (Switzerland)","ror":"https://ror.org/027rr8795","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210114179"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Ruksana Giurda","raw_affiliation_strings":["Sonova AG,Stäfa,Switzerland,8712"],"affiliations":[{"raw_affiliation_string":"Sonova AG,Stäfa,Switzerland,8712","institution_ids":["https://openalex.org/I4210114179"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005954103","display_name":"Simone Lionetti","orcid":"https://orcid.org/0000-0001-7305-8957"},"institutions":[{"id":"https://openalex.org/I81007117","display_name":"Lucerne University of Applied Sciences and Arts","ror":"https://ror.org/04nd0xd48","country_code":"CH","type":"education","lineage":["https://openalex.org/I81007117"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Simone Lionetti","raw_affiliation_strings":["Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343"],"affiliations":[{"raw_affiliation_string":"Lucerne University of Applied Sciences and Arts,Rotkreuz,Switzerland,6343","institution_ids":["https://openalex.org/I81007117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051473693"],"corresponding_institution_ids":["https://openalex.org/I81007117"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45158243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.4255000054836273,"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":0.4255000054836273,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.14010000228881836,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.10530000180006027,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.8546000123023987},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.6367999911308289},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.43320000171661377},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4327000081539154},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4153999984264374},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4092999994754791},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.32710000872612}],"concepts":[{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.8546000123023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6572999954223633},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.6367999911308289},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4456000030040741},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.43320000171661377},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40720000863075256},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32440000772476196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31290000677108765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2946999967098236},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C2780801066","wikidata":"https://www.wikidata.org/wiki/Q323808","display_name":"Hearing aid","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/waspaa66052.2025.11230929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/waspaa66052.2025.11230929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1621710783","https://openalex.org/W2082183045","https://openalex.org/W2101234009","https://openalex.org/W2126119586","https://openalex.org/W2127851351","https://openalex.org/W2138164020","https://openalex.org/W2158904676","https://openalex.org/W2163415800","https://openalex.org/W2205067270","https://openalex.org/W2283417180","https://openalex.org/W2295598076","https://openalex.org/W2408166852","https://openalex.org/W2527878485","https://openalex.org/W2559866256","https://openalex.org/W2606067354","https://openalex.org/W2742722178","https://openalex.org/W2780646907","https://openalex.org/W2980767905","https://openalex.org/W3005580638","https://openalex.org/W3010162163","https://openalex.org/W3085115717","https://openalex.org/W3093647835","https://openalex.org/W3093897328","https://openalex.org/W3185660789","https://openalex.org/W3191474079","https://openalex.org/W3207860153","https://openalex.org/W4200082062","https://openalex.org/W4225096074","https://openalex.org/W4310783717","https://openalex.org/W4362602198","https://openalex.org/W4386076373","https://openalex.org/W4388620484","https://openalex.org/W4402112442","https://openalex.org/W4402704547"],"related_works":[],"abstract_inverted_index":{"Despite":[0],"advances":[1],"in":[2,9,59,205],"hearing":[3,199],"technologies,":[4],"users":[5,204],"still":[6],"face":[7],"challenges":[8],"acoustically":[10],"complex":[11],"environments.":[12],"In":[13],"particular,":[14],"social":[15],"situations":[16],"with":[17,55,121,172,184],"multiple":[18],"speakers\u2014where":[19],"a":[20,44,74],"given":[21],"speaker":[22],"may":[23],"be":[24,89],"attended":[25,86,159],"to":[26,47,105,168],"at":[27,35],"one":[28],"moment":[29],"and":[30,85,94,130,145,183],"become":[31],"an":[32,134],"interfering":[33],"source":[34,58],"another\u2014are":[36],"consistently":[37],"reported":[38],"as":[39,127],"especially":[40],"difficult.":[41],"We":[42,72],"use":[43],"data-driven":[45],"approach":[46],"estimate":[48,169],"the":[49,53,60,107,140,156,192,195],"engagement":[50,171],"level":[51],"of":[52,137,197],"user":[54,170],"each":[56,99],"sound":[57],"acoustic":[61,70,175],"foreground":[62],"based":[63],"on":[64],"behavioral":[65],"cues":[66],"within":[67],"dynamic,":[68],"real-world":[69],"scenes.":[71],"collect":[73],"novel":[75],"dataset":[76],"from":[77],"two":[78],"experiments":[79],"where":[80],"subjects":[81],"can":[82,88,202],"behave":[83],"naturally":[84],"sources":[87,176],"recorded,":[90],"covering":[91],"both":[92],"induced":[93,144],"free":[95],"listening":[96,141],"intentions.":[97],"For":[98],"source,":[100],"we":[101],"engineer":[102],"features":[103],"expected":[104],"reflect":[106],"user\u2019s":[108],"engagement,":[109],"without":[110,180],"making":[111],"further":[112],"assumptions":[113],"about":[114],"underlying":[115],"patterns,":[116],"which":[117],"are":[118],"instead":[119],"inferred":[120],"machine":[122,178],"learning.":[123],"Classic":[124],"models":[125],"such":[126],"logistic":[128],"regression":[129],"tree-based":[131],"methods":[132],"achieve":[133],"average":[135],"precision":[136],"97%":[138],"when":[139,147],"intention":[142],"is":[143,149,166],"76%":[146],"it":[148,165],"free,":[150],"surpassing":[151],"baselines":[152],"that":[153,164,201],"statically":[154],"predict":[155],"most":[157],"frequently":[158],"sources.":[160],"Our":[161],"results":[162],"suggest":[163],"possible":[167],"individual":[173],"localized":[174],"using":[177],"learning,":[179],"invasive":[181],"sensors":[182],"sufficient":[185],"accuracy":[186],"for":[187,194],"practical":[188],"application.":[189],"This":[190],"paves":[191],"way":[193],"development":[196],"adaptive":[198],"systems":[200],"support":[203],"everyday":[206],"situations.":[207]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}