{"id":"https://openalex.org/W37854943","doi":"https://doi.org/10.21437/interspeech.2010-684","title":"Social role discovery from spoken language using dynamic Bayesian networks","display_name":"Social role discovery from spoken language using dynamic Bayesian networks","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W37854943","doi":"https://doi.org/10.21437/interspeech.2010-684","mag":"37854943"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-684","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113096078","display_name":"Sibel Yaman","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sibel Yaman","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068709817","display_name":"Dilek Hakkani\u2010T\u00fcr","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-T\u00fcr","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087941479","display_name":"G\u00f6khan T\u00fcr","orcid":"https://orcid.org/0009-0008-7740-2557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokhan Tur","raw_affiliation_strings":["Institute of Electrical and Electronics Engineers"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Electrical and Electronics Engineers","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2870","last_page":"2873"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994000196456909,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9929999709129333,"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/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.8518445491790771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7808784246444702},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.7355229258537292},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7296478748321533},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6501181125640869},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.5591715574264526},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.534244954586029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279067158699036},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4681952893733978},{"id":"https://openalex.org/keywords/speaker-diarisation","display_name":"Speaker diarisation","score":0.4553244411945343},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44642919301986694},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35663503408432007},{"id":"https://openalex.org/keywords/speaker-recognition","display_name":"Speaker recognition","score":0.3152661919593811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06898945569992065}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8518445491790771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7808784246444702},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.7355229258537292},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7296478748321533},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6501181125640869},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.5591715574264526},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.534244954586029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279067158699036},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4681952893733978},{"id":"https://openalex.org/C149838564","wikidata":"https://www.wikidata.org/wiki/Q7574248","display_name":"Speaker diarisation","level":3,"score":0.4553244411945343},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44642919301986694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35663503408432007},{"id":"https://openalex.org/C133892786","wikidata":"https://www.wikidata.org/wiki/Q1145189","display_name":"Speaker recognition","level":2,"score":0.3152661919593811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06898945569992065},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-684","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.5108","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.5108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/en-us/people/gokhant/is10-2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2011194052","https://openalex.org/W2082112386","https://openalex.org/W2100374502","https://openalex.org/W2153190547","https://openalex.org/W2172202672"],"related_works":["https://openalex.org/W2017210410","https://openalex.org/W1993009522","https://openalex.org/W2206035908","https://openalex.org/W1995792634","https://openalex.org/W2135672910","https://openalex.org/W4247736853","https://openalex.org/W2162158162","https://openalex.org/W1493012537","https://openalex.org/W1999004162","https://openalex.org/W2175373321"],"abstract_inverted_index":{"In":[0,146],"this":[1,65,86],"paper,":[2],"we":[3,49],"focus":[4],"on":[5,101,115,122,154],"inferring":[6],"social":[7],"roles":[8,105],"in":[9,91],"con-versations":[10],"using":[11,143],"information":[12,97],"extracted":[13],"only":[14,114],"from":[15],"the":[16,20,24,28,37,42,52,71,74,79,108,116,129,149,152,162,166],"speaking":[17],"styles":[18],"of":[19,27,39,54,73,172],"speakers.":[21],"We":[22,132],"model":[23,62],"turn-taking":[25],"behavior":[26],"speakers":[29],"with":[30,151],"dynamic":[31],"Bayesian":[32],"networks":[33],"(DBNs),":[34],"which":[35,89],"provide":[36],"capability":[38],"naturally":[40],"formulating":[41],"dependen-cies":[43],"between":[44],"random":[45],"variables.":[46],"More":[47],"specifically,":[48],"first":[50],"ex-plore":[51],"usefulness":[53],"a":[55,59,92,99],"simple":[56],"DBN,":[57],"namely,":[58],"hidden":[60],"Markov":[61],"(HMM),":[63],"for":[64],"problem.":[66],"As":[67],"it":[68],"turns":[69,161,173],"out,":[70],"knowl-edge":[72],"segments":[75,157],"that":[76,107,123],"belong":[77],"to":[78,128,137],"same":[80,130,155],"speaker":[81,104,110,156,182],"can":[82],"be":[83],"augmented":[84],"into":[85],"HMM":[87],"structure,":[88],"results":[90],"more":[93],"sophisticated":[94],"DBN.":[95],"This":[96],"places":[98],"constraint":[100,153],"two":[102,140],"subsequent":[103],"such":[106],"current":[109],"role":[111,119,126,164,180],"de-pends":[112],"not":[113],"previous":[117],"speaker\u2019s":[118],"but":[120],"also":[121],"most":[124],"recent":[125],"assigned":[127,158,169],"speaker.":[131],"conducted":[133],"an":[134],"experimental":[135],"study":[136],"compare":[138],"these":[139],"modeling":[141],"approaches":[142],"broadcast":[144],"shows.":[145],"our":[147],"experiments,":[148],"approach":[150,168],"89.5":[159],"%":[160,171],"correct":[163,175],"whereas":[165],"HMM-based":[167],"79.2":[170],"their":[174],"role.":[176],"Index":[177],"Terms:":[178],"Social":[179],"discovery,":[181],"turn":[183],"detection,":[184],"spoken":[185],"language":[186],"understanding":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
