{"id":"https://openalex.org/W2124387667","doi":"https://doi.org/10.1109/icme.2009.5202622","title":"Web-based topic language modeling for audio indexing","display_name":"Web-based topic language modeling for audio indexing","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2124387667","doi":"https://doi.org/10.1109/icme.2009.5202622","mag":"2124387667"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2009.5202622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","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/A5109220146","display_name":"Ken-ichi Iso","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ken-ichi Iso","raw_affiliation_strings":["Yahoo JAPAN Research, Yahoo Japan Corporation, Tokyo, Japan","Yahoo! JAPAN Research, Yahoo Japan Corporation, Midtown Tower, 9-7-1 Akasaka, Minato-ku, Tokyo 107-6211 Japan"],"affiliations":[{"raw_affiliation_string":"Yahoo JAPAN Research, Yahoo Japan Corporation, Tokyo, Japan","institution_ids":[]},{"raw_affiliation_string":"Yahoo! JAPAN Research, Yahoo Japan Corporation, Midtown Tower, 9-7-1 Akasaka, Minato-ku, Tokyo 107-6211 Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109220146"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7049,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69618455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"826","last_page":"829"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9990000128746033,"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":0.9976000189781189,"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":0.8654953241348267},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6520564556121826},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5682868957519531},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5481911897659302},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4747886061668396},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.46771755814552307},{"id":"https://openalex.org/keywords/directory","display_name":"Directory","score":0.44239747524261475},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.437799334526062},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41816943883895874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386006236076355},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3579683303833008},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.24533653259277344},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23562604188919067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654953241348267},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6520564556121826},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5682868957519531},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5481911897659302},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4747886061668396},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.46771755814552307},{"id":"https://openalex.org/C2777683733","wikidata":"https://www.wikidata.org/wiki/Q201456","display_name":"Directory","level":2,"score":0.44239747524261475},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.437799334526062},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41816943883895874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386006236076355},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3579683303833008},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.24533653259277344},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23562604188919067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2009.5202622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2009.5202622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W87954838","https://openalex.org/W170853248","https://openalex.org/W1502984613","https://openalex.org/W1644652583","https://openalex.org/W1733633583","https://openalex.org/W1880262756","https://openalex.org/W1904457459","https://openalex.org/W1985093013","https://openalex.org/W1991995555","https://openalex.org/W2017708149","https://openalex.org/W2098618568","https://openalex.org/W2117257534","https://openalex.org/W2127836646","https://openalex.org/W2570951272","https://openalex.org/W3034729383","https://openalex.org/W4237791300","https://openalex.org/W4292691288","https://openalex.org/W6603550504","https://openalex.org/W6606998934","https://openalex.org/W6630257147","https://openalex.org/W6636890138","https://openalex.org/W6637497015","https://openalex.org/W6779469704"],"related_works":["https://openalex.org/W3115906952","https://openalex.org/W3134811395","https://openalex.org/W3155196058","https://openalex.org/W1529821365","https://openalex.org/W2135486207","https://openalex.org/W1499611046","https://openalex.org/W3024420453","https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2388608119"],"abstract_inverted_index":{"We":[0],"describe":[1],"the":[2,49,74,81,101,105],"implementation":[3],"of":[4],"a":[5,24,61],"scalable":[6],"architecture":[7],"for":[8,57,73],"audio":[9],"indexing,":[10],"in":[11,23,37,114],"which":[12,89],"topic-dependent":[13],"language":[14],"models":[15],"(LMs)":[16],"were":[17],"trained":[18],"on":[19,30,39],"Web":[20,26],"pages":[21],"categorized":[22],"portal":[25],"directory":[27],"and":[28,84],"stored":[29],"distributed":[31],"servers.":[32],"Input":[33],"speech":[34],"was":[35,55],"decoded":[36],"parallel":[38],"servers":[40],"that":[41,100],"each":[42,58],"had":[43],"an":[44,52,65],"individual":[45],"topic":[46],"LM.":[47],"From":[48],"decoders'":[50],"outputs,":[51],"optimal":[53],"hypothesis":[54,86],"chosen":[56],"utterance":[59],"by":[60,109],"topic-selection":[62],"criterion":[63],"minimizing":[64],"energy":[66],"function":[67],"with":[68],"three":[69],"terms:":[70],"likelihood":[71],"scores":[72],"utterances;":[75],"keyword":[76],"co-occurrence":[77],"statistics":[78],"to":[79],"measure":[80],"long-distance":[82],"correlation;":[83],"Web-based":[85],"verification":[87],"scores,":[88],"penalize":[90],"misrecognized":[91],"trigrams":[92],"through":[93],"web":[94],"search":[95],"results.":[96],"Experimental":[97],"results":[98],"showed":[99],"proposed":[102],"approach":[103],"outperformed":[104],"baseline":[106],"topic-independent":[107],"system":[108],"6.0%":[110],"absolutely":[111],"(20.0%":[112],"relatively)":[113],"character":[115],"accuracy.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
