{"id":"https://openalex.org/W2031747818","doi":"https://doi.org/10.1109/icassp.2014.6854523","title":"Automatic characterization of speaking styles in educational videos","display_name":"Automatic characterization of speaking styles in educational videos","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2031747818","doi":"https://doi.org/10.1109/icassp.2014.6854523","mag":"2031747818"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5022916498","display_name":"Soroosh Mariooryad","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soroosh Mariooryad","raw_affiliation_strings":["The University of Texas at Dallas, Berkeley","University of Texas at Dallas, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas, Berkeley","institution_ids":["https://openalex.org/I162577319"]},{"raw_affiliation_string":"University of Texas at Dallas, Dallas, TX, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103559059","display_name":"Anitha Kannan","orcid":"https://orcid.org/0000-0003-3028-4959"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Anitha Kannan","raw_affiliation_strings":["Microsoft Research, Berkeley","[Microsoft Research, Berkeley]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Berkeley","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"[Microsoft Research, Berkeley]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015334291","display_name":"Dilek Hakkani-T\u00fcr","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Dilek Hakkani-Tur","raw_affiliation_strings":["Microsoft Research, Berkeley","[Microsoft Research, Berkeley]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Berkeley","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"[Microsoft Research, Berkeley]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107174154","display_name":"Elizabeth Shriberg","orcid":"https://orcid.org/0009-0004-3779-4956"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Shriberg","raw_affiliation_strings":["International Computer Science Institute, Berkeley","International Computer Science Institute [Berkeley]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Computer Science Institute, Berkeley","institution_ids":["https://openalex.org/I1297971548"]},{"raw_affiliation_string":"International Computer Science Institute [Berkeley]","institution_ids":["https://openalex.org/I1297971548"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6182,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89455767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"4848","last_page":"4852"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.994700014591217,"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/clarity","display_name":"CLARITY","score":0.7704683542251587},{"id":"https://openalex.org/keywords/formality","display_name":"Formality","score":0.7622692584991455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7074804902076721},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5869284272193909},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5609111189842224},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5167711973190308},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.5076261758804321},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.46301671862602234},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41745585203170776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2878921627998352},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18662068247795105},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.086346834897995}],"concepts":[{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.7704683542251587},{"id":"https://openalex.org/C2777159308","wikidata":"https://www.wikidata.org/wiki/Q1757948","display_name":"Formality","level":2,"score":0.7622692584991455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074804902076721},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5869284272193909},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5609111189842224},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5167711973190308},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.5076261758804321},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.46301671862602234},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41745585203170776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2878921627998352},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18662068247795105},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.086346834897995},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8700000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W69248710","https://openalex.org/W201747637","https://openalex.org/W1501506202","https://openalex.org/W1501966204","https://openalex.org/W1508871919","https://openalex.org/W1510271704","https://openalex.org/W1590215050","https://openalex.org/W1985554184","https://openalex.org/W2023461615","https://openalex.org/W2049515993","https://openalex.org/W2053907973","https://openalex.org/W2075843680","https://openalex.org/W2085662862","https://openalex.org/W2086632330","https://openalex.org/W2115501357","https://openalex.org/W2125959970","https://openalex.org/W2135046866","https://openalex.org/W2135495419","https://openalex.org/W2137634330","https://openalex.org/W2277874942","https://openalex.org/W2400139865","https://openalex.org/W4251560691","https://openalex.org/W6602807875","https://openalex.org/W6608148995","https://openalex.org/W6630136083","https://openalex.org/W6672221919"],"related_works":["https://openalex.org/W25517187","https://openalex.org/W2480381080","https://openalex.org/W2193232575","https://openalex.org/W2329847998","https://openalex.org/W2500726251","https://openalex.org/W4250466770","https://openalex.org/W138719379","https://openalex.org/W1838148781","https://openalex.org/W2043267429","https://openalex.org/W2963469174"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"shown":[3],"the":[4,46,68,110,146],"importance":[5],"of":[6,109,142,145],"using":[7],"online":[8,79],"videos":[9,33,44],"along":[10],"with":[11,140],"textual":[12],"material":[13],"in":[14,58,67,78],"educational":[15,80],"instruction,":[16],"especially":[17],"for":[18,104],"better":[19],"content":[20],"retention":[21],"and":[22,82,93],"improved":[23],"concept":[24],"understanding.":[25],"A":[26],"key":[27],"question":[28],"is":[29],"how":[30,120,135],"to":[31,34,73,118,127],"select":[32],"maximize":[35],"student":[36,56],"engagement,":[37,57],"particularly":[38],"when":[39],"there":[40,50],"are":[41,51,138],"multiple":[42],"possible":[43],"on":[45,63,101],"same":[47],"topic.":[48],"While":[49],"many":[52],"aspects":[53],"that":[54],"drive":[55],"this":[59],"paper":[60],"we":[61,113],"focus":[62],"presenter":[64],"speaking":[65,75,88,124],"styles":[66],"video.":[69],"We":[70,95],"use":[71],"crowd-sourcing":[72],"explore":[74],"style":[76,125],"dimensions":[77,137],"videos,":[81],"identify":[83],"six":[84],"broad":[85],"dimensions:":[86],"liveliness,":[87],"rate,":[89],"pleasantness,":[90],"clarity,":[91],"formality":[92],"confidence.":[94],"then":[96],"propose":[97],"techniques":[98],"based":[99],"solely":[100],"acoustic":[102],"features":[103],"automatically":[105],"identifying":[106],"a":[107],"subset":[108],"dimensions.":[111],"Finally,":[112],"perform":[114],"video":[115],"re-ranking":[116],"experiments":[117],"learn":[119],"users":[121],"apply":[122],"their":[123],"preferences":[126],"augment":[128],"textbook":[129],"material.":[130],"Our":[131],"findings":[132],"also":[133],"indicate":[134],"certain":[136],"correlated":[139],"perceptions":[141],"general":[143],"pleasantness":[144],"voice.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}