{"id":"https://openalex.org/W1943381225","doi":"https://doi.org/10.1109/icassp.1984.1172525","title":"A model of lexical access from partial phonetic information","display_name":"A model of lexical access from partial phonetic information","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W1943381225","doi":"https://doi.org/10.1109/icassp.1984.1172525","mag":"1943381225"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1984.1172525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing","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/A5111936847","display_name":"D.P. Huttenlocher","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Huttenlocher","raw_affiliation_strings":["Artificial Intelligence Laboratory and Research Laboratory of Electonics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory and Research Laboratory of Electonics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109575396","display_name":"Victor W. Zue","orcid":null},"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Zue","raw_affiliation_strings":["Artificial Intelligence Laboratory and Research Laboratory of Electonics, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory and Research Laboratory of Electonics, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":5.7734,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.96937725,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"391","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9940000176429749,"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":0.8517686128616333},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7505520582199097},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6510387659072876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301427483558655},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5695517659187317},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5608733296394348},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.5471977591514587},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.536392092704773},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.45378395915031433},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.41511857509613037},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19231215119361877}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8517686128616333},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7505520582199097},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6510387659072876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301427483558655},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5695517659187317},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5608733296394348},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5471977591514587},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.536392092704773},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.45378395915031433},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.41511857509613037},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19231215119361877},{"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},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1984.1172525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1984.1172525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W80516736","https://openalex.org/W1966264494","https://openalex.org/W2094892928","https://openalex.org/W2099813345","https://openalex.org/W2109863423","https://openalex.org/W2128160875","https://openalex.org/W2129100720","https://openalex.org/W2133155955","https://openalex.org/W2137089646","https://openalex.org/W6603245193"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W1997182898","https://openalex.org/W2401522294","https://openalex.org/W1962828410","https://openalex.org/W2253780618","https://openalex.org/W4205429340","https://openalex.org/W2601201456","https://openalex.org/W2079838398"],"abstract_inverted_index":{"Current":[0],"approaches":[1],"to":[2,34,80,103,123,160,178],"isolated":[3],"word":[4,63,134,166,171],"recognition":[5,10],"rely":[6],"on":[7],"classical":[8],"pattern":[9],"techniques":[11],"which":[12,136],"utilize":[13],"little":[14],"or":[15,182],"no":[16],"speech":[17,107],"specific":[18,180],"knowledge.":[19],"While":[20],"the":[21,97,106,115,125,152],"performance":[22],"of":[23,49,68,85,127,151,165],"these":[24],"systems":[25],"is":[26,64,77,99,158,175],"quite":[27],"good,":[28],"they":[29],"are":[30],"not":[31,176],"readily":[32],"extensible":[33],"tasks":[35],"involving":[36],"very":[37,110],"large":[38,89,119],"vocabularies":[39],"and":[40,71,109],"many":[41],"different":[42],"speakers.":[43],"This":[44,74,155],"paper":[45],"presents":[46],"a":[47,62,82,88,118,133,147,162,169,179],"model":[48,98],"lexical":[50,142],"access":[51],"using":[52],"partial":[53,75,138],"phonetic":[54,60,70,139,149],"information.":[55,73],"Rather":[56],"than":[57],"performing":[58],"detailed":[59],"analysis,":[61],"characterized":[65],"in":[66,96,105,112,117,141],"terms":[67],"broad":[69,92,148,156],"prosodic":[72],"description":[76],"then":[78],"used":[79,95,159],"retrieve":[81],"small":[83,163],"set":[84,164],"words":[86,116],"from":[87,168],"lexicon.":[90,120,172],"The":[91,144,173],"class":[93],"representation":[94],"both":[100],"relatively":[101],"insensitive":[102],"variability":[104],"signal,":[108],"powerful":[111],"differentiating":[113],"among":[114],"In":[121],"order":[122],"evaluate":[124],"use":[126],"this":[128],"model,":[129],"we":[130],"have":[131],"implemented":[132],"hypothesizer":[135],"uses":[137],"information":[140],"access.":[143],"system":[145,174],"performs":[146],"categorization":[150],"acoustic":[153],"signal.":[154],"classification":[157],"return":[161],"candidates":[167],"20,000":[170],"trained":[177],"speaker":[181],"vocabulary.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
