{"id":"https://openalex.org/W11722302","doi":"https://doi.org/10.21437/interspeech.2010-122","title":"Modeling pronunciation variation with context-dependent articulatory feature decision trees","display_name":"Modeling pronunciation variation with context-dependent articulatory feature decision trees","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W11722302","doi":"https://doi.org/10.21437/interspeech.2010-122","mag":"11722302"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-122","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","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/A5082761847","display_name":"Sam Bowman","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sam Bowman","raw_affiliation_strings":["University-of Chicago"],"affiliations":[{"raw_affiliation_string":"University-of Chicago","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015602781","display_name":"Karen Livescu","orcid":"https://orcid.org/0000-0003-4962-946X"},"institutions":[{"id":"https://openalex.org/I160992636","display_name":"Toyota Technological Institute at Chicago","ror":"https://ror.org/02sn5gb64","country_code":"US","type":"education","lineage":["https://openalex.org/I160992636"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karen Livescu","raw_affiliation_strings":["TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO"],"affiliations":[{"raw_affiliation_string":"TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO","institution_ids":["https://openalex.org/I160992636"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082761847"],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":0.5717,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.717807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"326","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10403","display_name":"Phonetics and Phonology Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"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/T10860","display_name":"Speech and Audio Processing","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7655435800552368},{"id":"https://openalex.org/keywords/pronunciation","display_name":"Pronunciation","score":0.7486682534217834},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7135961055755615},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6283416748046875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5557222366333008},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5390019416809082},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5360901951789856},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4575662910938263},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.45088067650794983},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.4498355984687805},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3804255425930023},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08648112416267395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655435800552368},{"id":"https://openalex.org/C2780844864","wikidata":"https://www.wikidata.org/wiki/Q184377","display_name":"Pronunciation","level":2,"score":0.7486682534217834},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7135961055755615},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6283416748046875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5557222366333008},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5390019416809082},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5360901951789856},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4575662910938263},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.45088067650794983},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.4498355984687805},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3804255425930023},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08648112416267395},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2010-122","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2010","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W108207029","https://openalex.org/W114725541","https://openalex.org/W196692374","https://openalex.org/W1583757088","https://openalex.org/W1608231129","https://openalex.org/W1986317063","https://openalex.org/W2003890417","https://openalex.org/W2015073768","https://openalex.org/W2022446405","https://openalex.org/W2068447135","https://openalex.org/W2127611282","https://openalex.org/W2146195480","https://openalex.org/W2150612204","https://openalex.org/W2274685338"],"related_works":["https://openalex.org/W2183593636","https://openalex.org/W2350724007","https://openalex.org/W2355751417","https://openalex.org/W2423284978","https://openalex.org/W2083922162","https://openalex.org/W2000075989","https://openalex.org/W4220683390","https://openalex.org/W2776838583","https://openalex.org/W2359469050","https://openalex.org/W2154156780"],"abstract_inverted_index":{"We":[0,25,48,101],"consider":[1],"the":[2,6,44,79,104],"problem":[3],"of":[4,9,18,74,106],"predicting":[5],"surface":[7],"pronunciations":[8],"a":[10,16,51,67,71,83],"word":[11],"in":[12,98],"conversational":[13,41],"speech,":[14],"using":[15,70],"model":[17,69,81],"pronunciation":[19],"variation":[20],"based":[21],"on":[22,40],"articulatory":[23,60,87],"features.":[24],"build":[26],"context-dependent":[27],"decision":[28,56,89],"trees":[29,57,90],"for":[30,58],"both":[31,78],"phone-based":[32],"and":[33,36,82],"feature-based":[34,68,88],"models,":[35],"compare":[37],"their":[38],"perplexities":[39],"data":[42],"from":[43],"Switchboard":[45],"Transcription":[46],"Project.":[47],"find":[49],"that":[50],"fully-factored":[52,80],"model,":[53],"with":[54],"separate":[55],"each":[59],"feature,":[61],"does":[62],"not":[63],"perform":[64],"well,":[65],"but":[66],"smaller":[72],"number":[73],"\u201cfeature":[75],"bundles\u201d":[76],"outperforms":[77],"phonebased":[84],"model.":[85],"The":[86],"are":[91],"also":[92,102],"much":[93],"more":[94],"robust":[95],"to":[96],"reductions":[97],"training":[99],"data.":[100],"analyze":[103],"usefulness":[105],"various":[107],"context":[108],"variables.":[109]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
