{"id":"https://openalex.org/W2962869836","doi":"https://doi.org/10.21437/interspeech.2016-1375","title":"Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy","display_name":"Generation and Pruning of Pronunciation Variants to Improve ASR Accuracy","publication_year":2016,"publication_date":"2016-08-29","ids":{"openalex":"https://openalex.org/W2962869836","doi":"https://doi.org/10.21437/interspeech.2016-1375","mag":"2962869836"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2016-1375","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-1375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","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/A5033386225","display_name":"Zhenhao Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhao Ge","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083410051","display_name":"Aravind Ganapathiraju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aravind Ganapathiraju","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113486419","display_name":"Ananth N. Iyer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ananth N. Iyer","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069689571","display_name":"Scott A. Randal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Scott A. Randal","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013123709","display_name":"Felix I. Wyss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix I. Wyss","raw_affiliation_strings":["Interactive Intelligence Inc., Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interactive Intelligence Inc., Indianapolis, Indiana, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30515035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3101","last_page":"3105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9993000030517578,"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/T12031","display_name":"Speech and dialogue systems","score":0.9987999796867371,"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/pronunciation","display_name":"Pronunciation","score":0.9178013801574707},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8438796997070312},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7350167036056519},{"id":"https://openalex.org/keywords/spelling","display_name":"Spelling","score":0.6331974267959595},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6063459515571594},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.6009650230407715},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5896589159965515},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5569547414779663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527738332748413},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.506023108959198},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4270191192626953},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.41874611377716064},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09099969267845154}],"concepts":[{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.9178013801574707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8438796997070312},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7350167036056519},{"id":"https://openalex.org/C2777801307","wikidata":"https://www.wikidata.org/wiki/Q2088390","display_name":"Spelling","level":2,"score":0.6331974267959595},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6063459515571594},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.6009650230407715},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5896589159965515},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5569547414779663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527738332748413},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.506023108959198},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4270191192626953},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.41874611377716064},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09099969267845154},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2016-1375","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2016-1375","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2016","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1504263846","https://openalex.org/W1513267461","https://openalex.org/W1828005603","https://openalex.org/W1954463725","https://openalex.org/W1997705213","https://openalex.org/W2028380100","https://openalex.org/W2152731658"],"related_works":["https://openalex.org/W2594897229","https://openalex.org/W2151348424","https://openalex.org/W4221142855","https://openalex.org/W2050138804","https://openalex.org/W2129812225","https://openalex.org/W4290708361","https://openalex.org/W26527944","https://openalex.org/W2523799048","https://openalex.org/W2155620340","https://openalex.org/W2114358883"],"abstract_inverted_index":{"Speech":[0],"recognition,":[1,4],"especially":[2],"name":[3],"is":[5,22],"widely":[6],"used":[7],"in":[8,99],"phone":[9],"services":[10],"such":[11],"as":[12],"company":[13],"directory":[14],"dialers,":[15],"stock":[16],"quote":[17],"providers":[18],"or":[19],"location":[20],"finders.It":[21],"usually":[23],"challenging":[24],"due":[25],"to":[26,48,60,86],"pronunciation":[27,46],"variations.This":[28],"paper":[29],"proposes":[30],"an":[31],"efficient":[32],"and":[33,43,71],"robust":[34],"data-driven":[35],"technique":[36],"which":[37],"automatically":[38],"learns":[39],"acceptable":[40],"word":[41],"pronunciations":[42,95],"updates":[44],"the":[45,61,73],"dictionary":[47],"build":[49],"a":[50,77,87,102],"better":[51],"lexicon":[52],"without":[53],"affecting":[54],"recognition":[55],"of":[56,96],"other":[57],"words":[58,98],"similar":[59],"target":[62],"word.It":[63],"generalizes":[64],"well":[65],"on":[66,76],"datasets":[67],"with":[68,79,89],"various":[69],"sizes,":[70],"reduces":[72],"error":[74],"rate":[75],"database":[78],"13000+":[80],"human":[81],"names":[82],"by":[83],"42%,":[84],"compared":[85],"baseline":[88],"regular":[90],"dictionaries":[91],"already":[92],"covering":[93],"canonical":[94],"97%+":[97],"names,":[100],"plus":[101],"well-trained":[103],"spelling-to-pronunciation":[104],"(STP)":[105],"engine.":[106]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
