{"id":"https://openalex.org/W67002875","doi":"https://doi.org/10.21437/interspeech.2004-498","title":"A PLSA-based language model for conversational telephone speech","display_name":"A PLSA-based language model for conversational telephone speech","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W67002875","doi":"https://doi.org/10.21437/interspeech.2004-498","mag":"67002875"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-498","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5023148684","display_name":"David Mrva","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Mrva","raw_affiliation_strings":["University of Cambridge,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002191410","display_name":"Philip C. Woodland","orcid":"https://orcid.org/0000-0001-9069-0225"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip C. Woodland","raw_affiliation_strings":["University of Cambridge,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge,","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2257","last_page":"2260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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":0.9947999715805054,"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/perplexity","display_name":"Perplexity","score":0.9775468111038208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7876167297363281},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7464461326599121},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.7096996307373047},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5874552726745605},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5741518139839172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5395405292510986},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5089263916015625},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49422600865364075},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4787999093532562},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4161069393157959},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.21434321999549866}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9775468111038208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876167297363281},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7464461326599121},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.7096996307373047},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5874552726745605},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5741518139839172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5395405292510986},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5089263916015625},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49422600865364075},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4787999093532562},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4161069393157959},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.21434321999549866},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-498","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:generic.eprints.org:327213","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/327213/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W11314411","https://openalex.org/W88081813","https://openalex.org/W1644652583","https://openalex.org/W2094971681","https://openalex.org/W2118714763","https://openalex.org/W2129334286","https://openalex.org/W2163378931"],"related_works":["https://openalex.org/W2169518243","https://openalex.org/W4293734197","https://openalex.org/W2252095989","https://openalex.org/W4322096525","https://openalex.org/W2551914602","https://openalex.org/W4287323699","https://openalex.org/W4281893144","https://openalex.org/W2105076537","https://openalex.org/W2169401934","https://openalex.org/W67002875"],"abstract_inverted_index":{"This":[0,13],"paper":[1,70],"describes":[2],"experiments":[3],"with":[4],"a":[5,16,44,53,72,83,91],"PLSA-based":[6,34],"language":[7],"model":[8,14,35,103],"for":[9,98],"conversational":[10],"telephone":[11],"speech.":[12],"uses":[15],"long-range":[17],"history":[18],"and":[19,90],"exploits":[20],"topic":[21,88],"information":[22],"in":[23,80,101],"the":[24,81,86,102],"test":[25,31,40],"text":[26],"to":[27,38,77],"adjust":[28],"probabilities":[29],"of":[30,74,85,93],"words.":[32],"The":[33],"was":[36],"found":[37],"lower":[39],"set":[41],"perplexity":[42,95],"over":[43],"traditional":[45],"word+class-based":[46],"4-gram":[47],"by":[48,59],"13%":[49],"(optimistic":[50],"estimate":[51,62],"using":[52,63],"reference":[54],"transcript":[55,65],"as":[56,66],"history)":[57],"or":[58],"6%":[60],"(realistic":[61],"recognised":[64],"history).":[67],"Moreover,":[68],"this":[69],"introduces":[71],"use":[73],"confidence":[75],"scores":[76],"weight":[78,84],"words":[79],"history,":[82],"prior":[87],"distribution":[89],"way":[92],"calculating":[94],"that":[96],"accounts":[97],"recognition":[99],"errors":[100],"context.":[104]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
