{"id":"https://openalex.org/W2163951901","doi":"https://doi.org/10.1109/icassp.2005.1415366","title":"Multimodal Meeting Analysis by Segmentation and Classification of Meeting Events based on a Higher Level Semantic Approach","display_name":"Multimodal Meeting Analysis by Segmentation and Classification of Meeting Events based on a Higher Level Semantic Approach","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2163951901","doi":"https://doi.org/10.1109/icassp.2005.1415366","mag":"2163951901"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5112793493","display_name":"S.A. Reiter","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Reiter","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108450067","display_name":"S. Schreiber","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"S. Schreiber","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039092855","display_name":"Gerhard Rigoll","orcid":"https://orcid.org/0000-0003-1096-1596"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"G. Rigoll","raw_affiliation_strings":["Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Human-Machine Communication, Technische Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"161","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991000294685364,"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":0.9944999814033508,"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/computer-science","display_name":"Computer science","score":0.8422398567199707},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.837411642074585},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7800052165985107},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5522852540016174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5464920997619629},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.5274738669395447},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.49288177490234375},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4510922431945801},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.41222187876701355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4107145071029663},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3871566355228424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8422398567199707},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.837411642074585},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7800052165985107},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5522852540016174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5464920997619629},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.5274738669395447},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.49288177490234375},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4510922431945801},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.41222187876701355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4107145071029663},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3871566355228424},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2005.1415366","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415366","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.324.1158","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.324.1158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.ei.tum.de/~res/pdf/reiter_icassp2005.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.8911","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.8911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mmk.ei.tum.de/publ/pdf/05/05rei1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W103561777","https://openalex.org/W125260059","https://openalex.org/W198212340","https://openalex.org/W855648322","https://openalex.org/W1493595169","https://openalex.org/W2015895495","https://openalex.org/W2035090801","https://openalex.org/W2148508265","https://openalex.org/W2169525504","https://openalex.org/W2172070182","https://openalex.org/W6604195100","https://openalex.org/W6608200826","https://openalex.org/W6623805220"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2066003895","https://openalex.org/W2735662278","https://openalex.org/W2537963312","https://openalex.org/W2537762514","https://openalex.org/W2349788282","https://openalex.org/W2382615723","https://openalex.org/W577271088","https://openalex.org/W4311804456","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0],"paper":[1],"encompasses":[2],"the":[3,27,42,50,60,70,80,87,90,95,101],"analysis":[4,55,118],"of":[5,26,29,44,62,72,89],"meetings":[6],"for":[7,79],"segmentation":[8,81],"into":[9,104],"sub-genres.":[10],"Therefore,":[11],"an":[12],"approach":[13],"on":[14,114],"a":[15,33,38],"higher":[16],"semantic":[17],"level":[18],"has":[19],"been":[20],"chosen.":[21],"The":[22,84],"algorithms":[23],"make":[24],"use":[25],"results":[28,61,85],"specialized":[30],"recognizers":[31,64],"like":[32],"speaker":[34],"turn":[35],"detector":[36],"and":[37,98,122],"gesture":[39],"recognizer.":[40],"Basically,":[41],"goal":[43],"this":[45,115],"investigation":[46],"was":[47],"to":[48,93,99],"answer":[49],"question,":[51],"how":[52],"well":[53],"meeting":[54,108],"is":[56],"possible":[57],"if":[58],"only":[59],"these":[63,73],"are":[65,82],"available.":[66],"After":[67],"introducing":[68],"briefly":[69],"basics":[71],"recognizers,":[74],"two":[75],"slightly":[76],"different":[77],"methods":[78,92],"presented.":[83],"show":[86],"potential":[88],"used":[91],"find":[94],"segment":[96],"boundaries":[97],"categorize":[100],"detected":[102],"segments":[103],"sub-genres":[105],"(also":[106],"called":[107],"events":[109],"or":[110],"group":[111],"actions).":[112],"Based":[113],"segmentation,":[116],"further":[117],"regarding":[119],"topic":[120],"detection":[121],"content":[123],"extraction":[124],"can":[125],"be":[126],"accomplished.":[127]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
