{"id":"https://openalex.org/W2318539141","doi":"https://doi.org/10.1145/2854946.2854987","title":"Vapor Engine","display_name":"Vapor Engine","publication_year":2016,"publication_date":"2016-03-13","ids":{"openalex":"https://openalex.org/W2318539141","doi":"https://doi.org/10.1145/2854946.2854987","mag":"2318539141"},"language":"en","primary_location":{"id":"doi:10.1145/2854946.2854987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2854946.2854987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval","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/A5074322406","display_name":"Douglas W. Oard","orcid":"https://orcid.org/0000-0002-1696-0407"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Douglas W. Oard","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042011586","display_name":"Rashmi Sankepally","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rashmi Sankepally","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060549708","display_name":"Jerome White","orcid":"https://orcid.org/0000-0003-4148-8834"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jerome White","raw_affiliation_strings":["New York University, Abu Dhabi, Uae"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University, Abu Dhabi, Uae","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114247946","display_name":"Craig Harman","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Harman","raw_affiliation_strings":["Johns Hopkins University HLTCOE, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University HLTCOE, Baltimore, MD, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"304"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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/T11309","display_name":"Music and Audio Processing","score":0.9994999766349792,"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":0.9975000023841858,"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":0.9973999857902527,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8474340438842773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8300375938415527},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6942704916000366},{"id":"https://openalex.org/keywords/spoken-language","display_name":"Spoken language","score":0.6424444913864136},{"id":"https://openalex.org/keywords/repetition","display_name":"Repetition (rhetorical device)","score":0.6000379920005798},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5799074172973633},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5237405300140381},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4765603840351105},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.44781848788261414},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44225773215293884},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.42296847701072693},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4140101373195648},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3998141884803772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3756943941116333},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.10230857133865356}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8474340438842773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8300375938415527},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6942704916000366},{"id":"https://openalex.org/C2776230583","wikidata":"https://www.wikidata.org/wiki/Q1322198","display_name":"Spoken language","level":2,"score":0.6424444913864136},{"id":"https://openalex.org/C2776141515","wikidata":"https://www.wikidata.org/wiki/Q1274479","display_name":"Repetition (rhetorical device)","level":2,"score":0.6000379920005798},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5799074172973633},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5237405300140381},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4765603840351105},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.44781848788261414},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44225773215293884},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.42296847701072693},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4140101373195648},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3998141884803772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3756943941116333},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.10230857133865356},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2854946.2854987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2854946.2854987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W66167291","https://openalex.org/W1527177318","https://openalex.org/W1724528691","https://openalex.org/W1986414721","https://openalex.org/W1992825430","https://openalex.org/W2038456810","https://openalex.org/W2043811583","https://openalex.org/W2044883842","https://openalex.org/W2049142189","https://openalex.org/W2057007397","https://openalex.org/W2079460648","https://openalex.org/W2114347655","https://openalex.org/W2115915304","https://openalex.org/W2144210693","https://openalex.org/W2145410271","https://openalex.org/W2167113023","https://openalex.org/W2186490579","https://openalex.org/W2294799344"],"related_works":["https://openalex.org/W2996195527","https://openalex.org/W2978375718","https://openalex.org/W2612358220","https://openalex.org/W2351132524","https://openalex.org/W4282568653","https://openalex.org/W2119380317","https://openalex.org/W2070155952","https://openalex.org/W2082868123","https://openalex.org/W2096389830","https://openalex.org/W1499383998"],"abstract_inverted_index":{"Typical":[0],"search":[1],"engines":[2],"for":[3,35,72,123],"spoken":[4,77,90,134],"content":[5,135],"begin":[6],"with":[7,89],"some":[8,73],"form":[9],"of":[10,108],"language-specific":[11],"audio":[12],"processing":[13],"such":[14,40],"as":[15],"phonetic":[16],"word":[17],"recognition.":[18],"Many":[19],"languages,":[20],"however,":[21,92],"lack":[22],"the":[23,96,109,112,175,179],"language":[24],"tuned":[25],"preprocessing":[26],"tools":[27],"that":[28,54,62,68,107,128],"are":[29],"needed":[30],"to":[31,43,51,100,106,146,183],"create":[32],"indexing":[33],"terms":[34,53,127,141],"speech.":[36],"One":[37],"approach":[38,64],"in":[39,75,102,111,136,156],"cases":[41],"is":[42,98,154],"rely":[44],"on":[45],"repetition,":[46],"detected":[47,132],"using":[48,149],"acoustic":[49],"features,":[50],"find":[52],"might":[55,69],"be":[56,70,130,144],"worth":[57],"indexing.":[58],"Experiments":[59],"have":[60],"shown":[61],"this":[63],"yields":[65],"term":[66,78],"sets":[67],"sufficient":[71],"applications":[74],"both":[76],"detection":[79],"and":[80,93,164,177],"ranked":[81],"retrieval":[82],"experiments.":[83],"Such":[84],"approaches":[85],"currently":[86,159],"work":[87],"only":[88,94,161],"queries,":[91],"when":[95],"searcher":[97],"able":[99],"speak":[101],"a":[103,120],"manner":[104],"similar":[105],"speakers":[110],"collection.":[113],"This":[114,172],"demonstration":[115],"paper":[116,173],"proposes":[117],"Vapor":[118,152],"Engine,":[119],"new":[121],"tool":[122],"selectively":[124],"transcribing":[125],"repeated":[126],"can":[129],"automatically":[131],"from":[133],"any":[137],"language.":[138],"These":[139],"transcribed":[140],"could":[142],"then":[143],"matched":[145],"queries":[147,163],"formulated":[148],"written":[150],"terms.":[151],"Engine":[153],"early":[155],"development:":[157],"it":[158,181],"supports":[160],"single-term":[162],"has":[165],"not":[166],"yet":[167],"having":[168],"been":[169],"formally":[170],"evaluated.":[171],"introduces":[174],"interface":[176],"summarizes":[178],"challenges":[180],"seeks":[182],"address.":[184]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
