{"id":"https://openalex.org/W1741860011","doi":"https://doi.org/10.21437/interspeech.2004-629","title":"Using context to correct phone recognition errors","display_name":"Using context to correct phone recognition errors","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W1741860011","doi":"https://doi.org/10.21437/interspeech.2004-629","mag":"1741860011"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-629","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-629","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":"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/A5103796951","display_name":"Stephen Cox","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stephen Cox","raw_affiliation_strings":["School of Computing Sciences"],"affiliations":[{"raw_affiliation_string":"School of Computing Sciences","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103796951"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4621,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7431905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2061","last_page":"2064"},"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":0.9983000159263611,"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":0.9972000122070312,"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":0.8100861310958862},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.8037559986114502},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7160505056381226},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.655687689781189},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6301063299179077},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5654604434967041},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47936421632766724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47228771448135376},{"id":"https://openalex.org/keywords/transcription","display_name":"Transcription (linguistics)","score":0.4226575493812561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36312228441238403},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.114938884973526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10542601346969604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8100861310958862},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.8037559986114502},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7160505056381226},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.655687689781189},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6301063299179077},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5654604434967041},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47936421632766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47228771448135376},{"id":"https://openalex.org/C179926584","wikidata":"https://www.wikidata.org/wiki/Q207714","display_name":"Transcription (linguistics)","level":2,"score":0.4226575493812561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36312228441238403},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.114938884973526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10542601346969604},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-629","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-629","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:ueaeprints.uea.ac.uk:21562","is_oa":false,"landing_page_url":"https://ueaeprints.uea.ac.uk/id/eprint/21562/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400384","display_name":"UEA Digital Repository (University of East Anglia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1118541","host_organization_name":"University of East Anglia","host_organization_lineage":["https://openalex.org/I1118541"],"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":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1597533204","https://openalex.org/W1932968309","https://openalex.org/W2117520332","https://openalex.org/W2130722890"],"related_works":["https://openalex.org/W2370205415","https://openalex.org/W4387493491","https://openalex.org/W2904225411","https://openalex.org/W4388331409","https://openalex.org/W2169921015","https://openalex.org/W2651370314","https://openalex.org/W1961128080","https://openalex.org/W2061937230","https://openalex.org/W2028097510","https://openalex.org/W2505877856"],"abstract_inverted_index":{"There":[0],"are":[1,108],"many":[2,82],"circumstances":[3],"in":[4,64,75,104,122],"which":[5],"it":[6,66,80],"is":[7,20],"useful":[8],"or":[9],"necessary":[10],"to":[11,57,89,100],"recognise":[12],"phones":[13],"rather":[14,84],"than":[15,24,85],"words,":[16],"but":[17,79],"phone":[18,37,123],"recognition":[19],"inherently":[21],"less":[22],"accurate":[23],"word":[25],"recognition.":[26],"We":[27],"describe":[28],"here":[29],"a":[30,41,45,76,86,94,118,132],"post-recognition":[31],"method":[32],"for":[33],"\"translating\"":[34],"an":[35],"errorful":[36],"string":[38,46],"output":[39],"by":[40,72],"speech":[42],"recogniser":[43,74],"into":[44],"that":[47,65],"more":[48],"closely":[49],"matches":[50],"the":[51,69,73,91,101,106,112,115,128],"transcription.":[52],"The":[53,97],"technique":[54,116],"owes":[55],"something":[56],"Kohonen's":[58],"idea":[59],"of":[60,93],"\"dynamically":[61],"expanding":[62,138],"context\"":[63],"learns":[67],"from":[68],"errors":[70,124],"made":[71],"particular":[77],"context,":[78],"uses":[81],"contexts":[83,103],"single":[87],"context":[88],"estimate":[90],"\"translation\"":[92],"recognised":[95],"phone.":[96],"weights":[98],"given":[99],"different":[102],"estimating":[105],"translation":[107],"determined":[109],"discriminatively.":[110],"On":[111],"WSJCAM0":[113],"database,":[114],"gives":[117],"19.2%":[119],"relative":[120],"improvement":[121,134],"(including":[125],"insertions)":[126],"over":[127],"baseline,":[129],"compared":[130],"with":[131],"6.2%":[133],"obtained":[135],"using":[136],"dynamically":[137],"context.":[139]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
