{"id":"https://openalex.org/W2015705088","doi":"https://doi.org/10.1109/icassp.2013.6639330","title":"Weighted matrix factorization for spoken document retrieval","display_name":"Weighted matrix factorization for spoken document retrieval","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2015705088","doi":"https://doi.org/10.1109/icassp.2013.6639330","mag":"2015705088"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","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/A5115603153","display_name":"Kuan\u2010Yu Chen","orcid":"https://orcid.org/0000-0002-6036-2199"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Yu Chen","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071214181","display_name":"Hsin\u2010Min Wang","orcid":"https://orcid.org/0000-0003-3599-5071"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Min Wang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595070","display_name":"Berlin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":["National Taiwan Normal University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000334344","display_name":"Hsin\u2010Hsi Chen","orcid":"https://orcid.org/0000-0001-9757-9423"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Hsi Chen","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115603153"],"corresponding_institution_ids":["https://openalex.org/I16733864","https://openalex.org/I4210098366"],"apc_list":null,"apc_paid":null,"fwci":2.4045,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89852261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"8530","last_page":"8534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983999729156494,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.998199999332428,"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":0.828748881816864},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.598545491695404},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5861361026763916},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5813369750976562},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5735743641853333},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5515307784080505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5131846070289612},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.41775017976760864},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1250796616077423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828748881816864},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.598545491695404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5861361026763916},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5813369750976562},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5735743641853333},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5515307784080505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131846070289612},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.41775017976760864},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1250796616077423},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.1109/icassp.2013.6639330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639330","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"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/W129866595","https://openalex.org/W210770835","https://openalex.org/W1532325895","https://openalex.org/W1880262756","https://openalex.org/W1904228841","https://openalex.org/W1974490937","https://openalex.org/W1981778123","https://openalex.org/W2001082470","https://openalex.org/W2002890640","https://openalex.org/W2042980227","https://openalex.org/W2047457190","https://openalex.org/W2072773380","https://openalex.org/W2093390569","https://openalex.org/W2122160290","https://openalex.org/W2134461492","https://openalex.org/W2134731454","https://openalex.org/W2135875128","https://openalex.org/W2147152072","https://openalex.org/W2148986421","https://openalex.org/W2153252192","https://openalex.org/W2160348541","https://openalex.org/W2165395308","https://openalex.org/W2165612380","https://openalex.org/W2168119002","https://openalex.org/W2396252828","https://openalex.org/W3022315648","https://openalex.org/W4206765718","https://openalex.org/W4213009331","https://openalex.org/W4237791300","https://openalex.org/W6605245800","https://openalex.org/W6608545824","https://openalex.org/W6680087110","https://openalex.org/W6680239946","https://openalex.org/W6684295950","https://openalex.org/W6816560326"],"related_works":["https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W4307058054","https://openalex.org/W2943623134","https://openalex.org/W3200230513","https://openalex.org/W2494523064","https://openalex.org/W4292238148","https://openalex.org/W4323660495","https://openalex.org/W2588219639"],"abstract_inverted_index":{"Since":[0],"more":[1,3],"and":[2,58,68,104,143,195],"multimedia":[4],"data":[5],"associated":[6],"with":[7],"spoken":[8,17],"documents":[9,156],"have":[10,35],"been":[11,36],"made":[12],"available":[13],"to":[14,124,147,208],"the":[15,28,72,76,85,96,99,110,135,138,170,173,177,191,199],"public,":[16],"document":[18,81],"retrieval":[19,46],"(SDR)":[20],"has":[21],"become":[22],"an":[23],"important":[24],"research":[25],"subject":[26],"in":[27,39,79,98,168],"past":[29],"two":[30,52],"decades.":[31],"Recently,":[32],"topic":[33,55,60,211],"models":[34,49,56,61,94],"successfully":[37],"used":[38],"SDR":[40,142,187],"as":[41,43,88],"well":[42],"general":[44],"information":[45,116],"(IR).":[47],"These":[48],"fall":[50],"into":[51,82],"categories:":[53],"probabilistic":[54],"(PTM)":[57],"non-probabilistic":[59],"(NPTM).":[62],"One":[63],"major":[64],"difference":[65],"between":[66],"PTM":[67],"NPTM":[69],"is":[70,118,129],"that":[71,109,117],"former":[73],"only":[74],"takes":[75],"words":[77,97,112,140,154,175],"occurring":[78,103],"a":[80,130,162],"account,":[83],"whereas":[84],"latter,":[86],"such":[87],"latent":[89],"semantic":[90,158,178],"analysis":[91,179],"(LSA),":[92],"explicitly":[93],"all":[95],"vocabulary":[100],"(including":[101],"both":[102],"non-occurring":[105,111,139,153,174],"words).":[106],"We":[107],"believe":[108],"can":[113,180],"provide":[114],"additional":[115],"also":[119],"useful":[120],"for":[121,141,157],"SDR.":[122],"However,":[123],"our":[125,203],"best":[126],"knowledge,":[127],"there":[128],"dearth":[131],"of":[132,137,151,155,172,186,202],"work":[133],"investigating":[134],"effectiveness":[136],"IR.":[144],"In":[145],"order":[146],"make":[148],"effective":[149],"use":[150],"those":[152],"analysis,":[159],"we":[160],"propose":[161],"weighted":[163],"matrix":[164],"factorization":[165],"(WMF)":[166],"framework,":[167],"which":[169],"impact":[171],"on":[176,190],"be":[181],"modulated":[182],"properly.":[183],"The":[184],"results":[185],"experiments":[188],"conducted":[189],"TDT-2":[192],"(Topic":[193],"Detection":[194],"Tracking)":[196],"collection":[197],"highlight":[198],"performance":[200],"merits":[201],"proposed":[204],"framework":[205],"when":[206],"compared":[207],"several":[209],"existing":[210],"models.":[212]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}