{"id":"https://openalex.org/W1979787919","doi":"https://doi.org/10.1145/1667780.1667862","title":"Spoken document retrieval using topic models","display_name":"Spoken document retrieval using topic models","publication_year":2009,"publication_date":"2009-12-03","ids":{"openalex":"https://openalex.org/W1979787919","doi":"https://doi.org/10.1145/1667780.1667862","mag":"1979787919"},"language":"en","primary_location":{"id":"doi:10.1145/1667780.1667862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1667780.1667862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Universal Communication Symposium","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/A5041446566","display_name":"Xinhui Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xinhui Hu","raw_affiliation_strings":["National Institute of Information and Communications Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084065446","display_name":"Ryosuke Isotani","orcid":null},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Isotani","raw_affiliation_strings":["National Institute of Information and Communications Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020994673","display_name":"Satoshi Nakamura","orcid":"https://orcid.org/0000-0001-6956-3803"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Nakamura","raw_affiliation_strings":["National Institute of Information and Communications Technology"],"affiliations":[{"raw_affiliation_string":"National Institute of Information and Communications Technology","institution_ids":["https://openalex.org/I90023481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041446566"],"corresponding_institution_ids":["https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78902151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9952999949455261,"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":0.9936000108718872,"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":0.8069192171096802},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.7072896361351013},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.6392228603363037},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5895605683326721},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5705388188362122},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5358375906944275},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5249723792076111},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5072984099388123},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5033671259880066},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46929627656936646},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4620479941368103},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.42478618025779724},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41769081354141235},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3885049819946289},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.12908601760864258}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069192171096802},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.7072896361351013},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.6392228603363037},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5895605683326721},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5705388188362122},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5358375906944275},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5249723792076111},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5072984099388123},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5033671259880066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46929627656936646},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4620479941368103},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.42478618025779724},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41769081354141235},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3885049819946289},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.12908601760864258},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1667780.1667862","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1667780.1667862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Universal Communication Symposium","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":8,"referenced_works":["https://openalex.org/W134485573","https://openalex.org/W155964203","https://openalex.org/W2013029404","https://openalex.org/W2107743791","https://openalex.org/W2161301211","https://openalex.org/W3034729383","https://openalex.org/W3143596294","https://openalex.org/W4233135949"],"related_works":["https://openalex.org/W3028990185","https://openalex.org/W1500125366","https://openalex.org/W4309228610","https://openalex.org/W1869615134","https://openalex.org/W2154282042","https://openalex.org/W4248157169","https://openalex.org/W2551770406","https://openalex.org/W2000031603","https://openalex.org/W2141958537","https://openalex.org/W23665010"],"abstract_inverted_index":{"In":[0],"this":[1,102,133,196],"paper,":[2],"we":[3],"propose":[4],"a":[5,42,53,56,64,108,154,206],"document":[6,22,38,54,211],"topic":[7,44,151,169,173,197],"model":[8,25,45,134,145,174,198],"(DTM)":[9],"based":[10,185],"on":[11,107,186],"the":[12,61,69,81,97,112,141,148,160,166,171,187],"non-negative":[13],"matrix":[14,73],"factorization":[15],"(NMF)":[16],"approach":[17],"to":[18,30,47,55,94,137,140,177,194],"explore":[19],"spontaneous":[20,126],"spoken":[21,210],"retrieval.":[23],"The":[24,50,71,129,192],"uses":[26],"latent":[27,180],"semantic":[28,33],"indexing":[29,181],"detect":[31],"underlying":[32],"relationships":[34],"within":[35],"documents.":[36],"Each":[37],"is":[39,58,77,135,175,184,205,213],"interpreted":[40],"as":[41],"generative":[43],"belonging":[46],"many":[48],"topics.":[49],"relevance":[51],"of":[52,63,114,125,132,162,168,209],"query":[57,65],"expressed":[59],"by":[60,68],"probability":[62],"being":[66],"generated":[67],"model.":[70],"term-document":[72],"used":[74],"for":[75,96,121],"NMF":[76],"built":[78],"stochastically":[79],"from":[80,111,159],"speech":[82,201],"recognition":[83,89,99,202],"N-best":[84],"results,":[85],"so":[86],"that":[87,183],"multiple":[88],"hypotheses":[90],"can":[91,199],"be":[92,138],"utilized":[93],"compensate":[95],"word":[98],"errors.":[100],"Using":[101],"approach,":[103],"experiments":[104],"are":[105],"conducted":[106],"test":[109],"collection":[110],"Corpus":[113],"Spontaneous":[115],"Japanese":[116,127],"(CSJ),":[117],"with":[118],"39":[119],"queries":[120],"over":[122],"600":[123],"hours":[124],"speech.":[128],"retrieval":[130,163],"performance":[131,164],"proved":[136],"superior":[139],"conventional":[142],"vector":[143],"space":[144],"(VSM)":[146],"when":[147],"dimension":[149],"or":[150,165],"number":[152],"exceeds":[153],"certain":[155],"threshold.":[156],"Moreover,":[157],"whether":[158],"viewpoint":[161],"ability":[167],"expression,":[170],"NMF-based":[172],"verified":[176],"surpass":[178],"another":[179],"method":[182],"singular":[188],"value":[189],"decomposition":[190],"(SVD).":[191],"extent":[193],"which":[195,204],"resist":[200],"error,":[203],"special":[207],"problem":[208],"retrieval,":[212],"also":[214],"investigated.":[215]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
