{"id":"https://openalex.org/W4210521413","doi":"https://doi.org/10.1109/asru51503.2021.9688118","title":"Are You Dictating to Me? Detecting Embedded Dictations in Doctor-Patient Conversations","display_name":"Are You Dictating to Me? Detecting Embedded Dictations in Doctor-Patient Conversations","publication_year":2021,"publication_date":"2021-12-13","ids":{"openalex":"https://openalex.org/W4210521413","doi":"https://doi.org/10.1109/asru51503.2021.9688118"},"language":"en","primary_location":{"id":"doi:10.1109/asru51503.2021.9688118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9688118","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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/A5010424125","display_name":"Thomas Schaaf","orcid":"https://orcid.org/0000-0002-9569-4759"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thomas Schaaf","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051410965","display_name":"Longxiang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longxiang Zhang","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057153459","display_name":"Alireza Bayestehtashk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alireza Bayestehtashk","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005148508","display_name":"Mark C. Fuhs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Fuhs","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090208725","display_name":"Shahid Durrani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahid Durrani","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034672538","display_name":"Susanne Burger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Susanne Burger","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053580599","display_name":"Monika Woszczyna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monika Woszczyna","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077942855","display_name":"Thomas Polzin","orcid":"https://orcid.org/0000-0001-9166-5144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Polzin","raw_affiliation_strings":["3M | M*Modal,Pittsburgh,PA"],"affiliations":[{"raw_affiliation_string":"3M | M*Modal,Pittsburgh,PA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5010424125"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21981882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"587","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9853000044822693,"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":0.9853000044822693,"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/T10028","display_name":"Topic Modeling","score":0.979200005531311,"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/T10350","display_name":"Electronic Health Records Systems","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dictation","display_name":"Dictation","score":0.9167584180831909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617675065994263},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.6828920841217041},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5904789566993713},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5754225850105286},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5569524168968201},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.48905953764915466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.427224725484848},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4166643023490906},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.19088852405548096},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.15352225303649902},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13186511397361755}],"concepts":[{"id":"https://openalex.org/C2779077324","wikidata":"https://www.wikidata.org/wiki/Q1087138","display_name":"Dictation","level":2,"score":0.9167584180831909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617675065994263},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.6828920841217041},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5904789566993713},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5754225850105286},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5569524168968201},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.48905953764915466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.427224725484848},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4166643023490906},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.19088852405548096},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.15352225303649902},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13186511397361755},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru51503.2021.9688118","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru51503.2021.9688118","pdf_url":null,"source":{"id":"https://openalex.org/S4363606113","display_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W55333121","https://openalex.org/W133406983","https://openalex.org/W1571931074","https://openalex.org/W1576161893","https://openalex.org/W1902469417","https://openalex.org/W1986571466","https://openalex.org/W2056216490","https://openalex.org/W2117671523","https://openalex.org/W2125336414","https://openalex.org/W2128135494","https://openalex.org/W2145167175","https://openalex.org/W2249692213","https://openalex.org/W2400505377","https://openalex.org/W2402146185","https://openalex.org/W2426479676","https://openalex.org/W2515682654","https://openalex.org/W2750259098","https://openalex.org/W2754518417","https://openalex.org/W2887080793","https://openalex.org/W2945411956","https://openalex.org/W2972549707","https://openalex.org/W2973127116","https://openalex.org/W3013333272","https://openalex.org/W3026689121","https://openalex.org/W3028938693","https://openalex.org/W3095822285","https://openalex.org/W3096471021","https://openalex.org/W6605486246","https://openalex.org/W6647082240","https://openalex.org/W6678809451","https://openalex.org/W6681537870","https://openalex.org/W6713088551","https://openalex.org/W6774870834","https://openalex.org/W6777855959","https://openalex.org/W6778128290"],"related_works":["https://openalex.org/W2353325398","https://openalex.org/W2558599680","https://openalex.org/W2367608902","https://openalex.org/W2359823483","https://openalex.org/W2392667367","https://openalex.org/W2381559703","https://openalex.org/W2353027778","https://openalex.org/W2381835873","https://openalex.org/W2367645071","https://openalex.org/W2563938054"],"abstract_inverted_index":{"Medical":[0],"scribes":[1],"chart":[2],"doctor-patient":[3,43],"conversations":[4,111],"in":[5],"real":[6],"time":[7],"or":[8,84],"by":[9],"listening":[10],"to":[11,48,73,81,109,124,134,148],"an":[12,169],"audio":[13,97],"recording":[14],"afterwards.":[15],"Doctors":[16],"sometimes":[17],"dictate":[18],"during":[19],"a":[20,23,28,32,82,125,142,149,157,172,187],"patient":[21,83],"encounter,":[22],"highly":[24],"informative":[25],"part":[26],"for":[27],"scribe.":[29],"We":[30,103],"introduced":[31],"light-weight":[33],"annotation":[34],"schema":[35],"and":[36,52,100,107,117,168,185,191],"ana-lyzed":[37],"recordings":[38],"of":[39,59,76,88,95,141,189],"105":[40],"randomly":[41],"selected":[42],"encounters":[44],"from":[45,156],"21":[46],"physicians":[47],"quantify":[49],"the":[50,89,139],"frequency":[51],"automatically":[53],"de-tect":[54],"dictated":[55,136],"regions.":[56,102],"Dictation":[57],"behavior":[58],"individual":[60],"doctors":[61,77],"was":[62],"consistent":[63],"but":[64],"varied":[65],"among":[66],"them.":[67],"A":[68,86],"linguistic":[69],"analysis":[70,170],"is":[71,91,162],"provided":[72],"describe":[74],"differences":[75],"speech":[78,137,143,158],"when":[79],"talking":[80],"dictating.":[85],"description":[87],"data":[90],"given,":[92],"highlighting":[93],"challenges":[94],"segmenting":[96],"into":[98],"conversation":[99],"dictation":[101],"in-vestigate":[104],"different":[105],"features":[106,116,132,154,181,193],"methods":[108],"segment":[110],"including":[112],"keyword":[113],"spotting,":[114],"acoustic":[115,131,190],"class-conditioned":[118],"language":[119,178],"models.":[120],"Results":[121],"are":[122,182],"anchored":[123],"majority":[126],"class":[127],"base-line.":[128],"Using":[129],"only":[130],"allows":[133],"predict":[135],"without":[138],"need":[140],"recognition":[144,159],"system":[145],"performing":[146],"com-parable":[147],"rule-based":[150],"approach":[151],"using":[152,164,171],"lexical":[153,192],"derived":[155,180],"system.":[160],"Performance":[161],"assessed":[163],"leave-one-physician-out":[165],"cross":[166],"validation":[167],"random":[173],"forest":[174],"classifier":[175],"indicates":[176],"that":[177,186],"model":[179],"most":[183],"useful,":[184],"combination":[188],"performed":[194],"best.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}