{"id":"https://openalex.org/W2062914951","doi":"https://doi.org/10.1109/asru.2011.6163964","title":"Topic modeling for spoken documents using only phonetic information","display_name":"Topic modeling for spoken documents using only phonetic information","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2062914951","doi":"https://doi.org/10.1109/asru.2011.6163964","mag":"2062914951"},"language":"en","primary_location":{"id":"doi:10.1109/asru.2011.6163964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2011.6163964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Workshop on Automatic Speech Recognition & Understanding","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/A5114018312","display_name":"Timothy J. Hazen","orcid":"https://orcid.org/0009-0006-1413-9590"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Timothy J. Hazen","raw_affiliation_strings":["M. I. T. Lincoln Laboratory, Lexington, MA, USA","MIT Lincoln Laboratory, Lexington, Massachusetts, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"M. I. T. Lincoln Laboratory, Lexington, MA, USA","institution_ids":["https://openalex.org/I4210122954"]},{"raw_affiliation_string":"MIT Lincoln Laboratory, Lexington, Massachusetts, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067041166","display_name":"Man-Hung Siu","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Man-Hung Siu","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA","Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]},{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065713279","display_name":"H. Gish","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Herbert Gish","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA","Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]},{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001969512","display_name":"Steve Lowe","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Lowe","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA","Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]},{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108477624","display_name":"Arthur Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arthur Chan","raw_affiliation_strings":["Raytheon BBN Technologies, Cambridge, MA, USA","Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, MA, USA","institution_ids":["https://openalex.org/I1306686416"]},{"raw_affiliation_string":"Raytheon BBN Technologies, Cambridge, Massachusetts, USA#TAB#","institution_ids":["https://openalex.org/I1306686416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114018312"],"corresponding_institution_ids":["https://openalex.org/I4210122954","https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":2.993,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91689216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","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/T10201","display_name":"Speech Recognition and Synthesis","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/T11309","display_name":"Music and Audio Processing","score":0.9997000098228455,"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":0.996999979019165,"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":0.8529125452041626},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7476179599761963},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6673862934112549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6585879921913147},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5225183963775635},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5005397796630859},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.49799656867980957},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4913136065006256},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4911446273326874},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.48671987652778625},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42978575825691223},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1599646508693695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8529125452041626},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7476179599761963},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6673862934112549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6585879921913147},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5225183963775635},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5005397796630859},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.49799656867980957},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4913136065006256},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4911446273326874},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.48671987652778625},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42978575825691223},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1599646508693695},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asru.2011.6163964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asru.2011.6163964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Workshop on Automatic Speech Recognition & Understanding","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W30845872","https://openalex.org/W51277926","https://openalex.org/W97072897","https://openalex.org/W203607283","https://openalex.org/W308497914","https://openalex.org/W1507177964","https://openalex.org/W1565194091","https://openalex.org/W1570540531","https://openalex.org/W1612003148","https://openalex.org/W1979178043","https://openalex.org/W2034051450","https://openalex.org/W2079460648","https://openalex.org/W2087863531","https://openalex.org/W2099424804","https://openalex.org/W2114347655","https://openalex.org/W2120210350","https://openalex.org/W2130180273","https://openalex.org/W2143203634","https://openalex.org/W2153849757","https://openalex.org/W2162922114","https://openalex.org/W2167845555","https://openalex.org/W2168363555","https://openalex.org/W2172287020","https://openalex.org/W2186490579","https://openalex.org/W2296730072","https://openalex.org/W2612891210","https://openalex.org/W6608294043","https://openalex.org/W6608351678","https://openalex.org/W6633824311","https://openalex.org/W6634056461","https://openalex.org/W6636440780","https://openalex.org/W6682859417"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W1482209366","https://openalex.org/W2395910192","https://openalex.org/W2112752961","https://openalex.org/W2113687551"],"abstract_inverted_index":{"This":[0,80],"paper":[1,81],"explores":[2],"both":[3],"supervised":[4,53],"and":[5,34,131],"unsupervised":[6,78,122,127],"topic":[7,86,104,124],"modeling":[8,87,125],"for":[9,100,103,126],"spoken":[10],"audio":[11],"documents":[12],"using":[13,88,96],"only":[14,89],"phonetic":[15,26,58,64,90,137],"information.":[16,91],"In":[17,43,61],"cases":[18],"where":[19],"word-based":[20],"recognition":[21,59,65],"is":[22,139],"unavailable":[23],"or":[24,70],"infeasible,":[25],"information":[27,36,138],"can":[28,51,66],"be":[29],"used":[30,106],"to":[31],"indirectly":[32],"learn":[33],"capture":[35],"provided":[37],"by":[38],"topically":[39,132],"relevant":[40,133],"lexical":[41,134],"items.":[42],"some":[44],"situations,":[45],"a":[46,56,76],"lack":[47],"of":[48,55,118,121,129],"transcribed":[49],"data":[50],"prevent":[52],"training":[54,102],"same-language":[57],"system.":[60],"these":[62],"cases,":[63],"use":[67,120],"cross-language":[68],"models":[69],"self-organizing":[71],"units":[72],"(SOUs)":[73],"learned":[74],"in":[75,85,107,112],"completely":[77],"fashion.":[79],"presents":[82],"recent":[83,110],"improvements":[84,111],"We":[92],"present":[93],"new":[94],"results":[95],"recently":[97],"developed":[98],"techniques":[99],"discriminative":[101],"identification":[105],"conjunction":[108],"with":[109],"SOU":[113],"learning.":[114],"A":[115],"preliminary":[116],"examination":[117],"the":[119],"latent":[123],"discovery":[128],"topics":[130],"items":[135],"from":[136],"also":[140],"presented.":[141]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}