{"id":"https://openalex.org/W2147766635","doi":"https://doi.org/10.1109/icassp.2010.5495011","title":"Topic cache language model for speech recognition","display_name":"Topic cache language model for speech recognition","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2147766635","doi":"https://doi.org/10.1109/icassp.2010.5495011","mag":"2147766635"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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/A5088246266","display_name":"Chuang-Hua Chueh","orcid":"https://orcid.org/0009-0006-3960-2748"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuang-Hua Chueh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":4.1964,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94270271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5194","last_page":"5197"},"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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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":0.9976999759674072,"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":0.9192702770233154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8856538534164429},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8231344223022461},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.8034729957580566},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.754753828048706},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6105476021766663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964041948318481},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.5918146967887878},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5812202095985413},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.5118348002433777},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4251488149166107},{"id":"https://openalex.org/keywords/universal-networking-language","display_name":"Universal Networking Language","score":0.2167327105998993},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.18827950954437256}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.9192702770233154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8856538534164429},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8231344223022461},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.8034729957580566},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.754753828048706},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6105476021766663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964041948318481},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.5918146967887878},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5812202095985413},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.5118348002433777},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4251488149166107},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.2167327105998993},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.18827950954437256},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.0},{"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/icassp.2010.5495011","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 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":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W21664255","https://openalex.org/W1644652583","https://openalex.org/W1665921526","https://openalex.org/W1880262756","https://openalex.org/W1934041838","https://openalex.org/W2024490156","https://openalex.org/W2063675891","https://openalex.org/W2110027950","https://openalex.org/W2112874453","https://openalex.org/W2118714763","https://openalex.org/W2121227244","https://openalex.org/W2127836646","https://openalex.org/W2129703168","https://openalex.org/W2159382562","https://openalex.org/W6639619044","https://openalex.org/W6676532846","https://openalex.org/W6678277124","https://openalex.org/W6683547160"],"related_works":["https://openalex.org/W2761847515","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W4293734197","https://openalex.org/W4206967254","https://openalex.org/W2131689821","https://openalex.org/W2888805565","https://openalex.org/W2787311093","https://openalex.org/W2169518243","https://openalex.org/W2105076537"],"abstract_inverted_index":{"Traditional":[0],"n-gram":[1,55,97,124],"language":[2,11,45,90,106,129],"models":[3,130],"suffer":[4],"from":[5,54,71],"insufficient":[6],"long-distance":[7,65,105],"information.":[8],"The":[9,87],"cache":[10,35,89,103],"model,":[12],"which":[13],"captures":[14],"the":[15,42,48,64,72,81,95,101,109,116,126],"dynamics":[16],"of":[17,133],"word":[18,60],"occurrences":[19],"in":[20,79,131],"a":[21,32],"cache,":[22],"is":[23,52,68],"feasible":[24],"to":[25],"compensate":[26],"this":[27],"weakness.":[28],"This":[29],"paper":[30],"presents":[31],"new":[33],"topic":[34,50,66,82,88,102],"model":[36,46,91],"for":[37,59,104],"speech":[38],"recognition":[39,136],"based":[40],"on":[41,111],"latent":[43,49],"Dirichlet":[44],"where":[47],"structure":[51],"explored":[53],"events":[56,98],"and":[57,76,99,125,135],"employed":[58],"prediction.":[61],"In":[62,108],"particular,":[63],"information":[67],"continuously":[69],"updated":[70],"large-span":[73],"historical":[74],"words":[75],"dynamically":[77],"incorporated":[78],"generating":[80],"mixtures":[83],"through":[84],"Bayesian":[85],"learning.":[86],"does":[92],"effectively":[93],"characterize":[94],"unseen":[96],"catch":[100],"modeling.":[107],"experiments":[110],"Wall":[112],"Street":[113],"Journal":[114],"corpus,":[115],"proposed":[117],"method":[118],"achieves":[119],"better":[120],"performance":[121],"than":[122],"baseline":[123],"other":[127],"related":[128],"terms":[132],"perplexity":[134],"accuracy.":[137]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
