{"id":"https://openalex.org/W2122739968","doi":"https://doi.org/10.3115/1219840.1219895","title":"Position specific posterior lattices for indexing speech","display_name":"Position specific posterior lattices for indexing speech","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2122739968","doi":"https://doi.org/10.3115/1219840.1219895","mag":"2122739968"},"language":"en","primary_location":{"id":"doi:10.3115/1219840.1219895","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219895","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219895","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068010225","display_name":"Ciprian Chelba","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ciprian Chelba","raw_affiliation_strings":["Microsoft Research, Microsoft Corporation, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111957484","display_name":"Alex Acero","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Acero","raw_affiliation_strings":["Microsoft Research, Microsoft Corporation, Redmond, WA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Microsoft Corporation, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":74,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"443","last_page":"450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9991000294685364,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9988999962806702,"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":0.7916293740272522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463341951370239},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5546662211418152},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.4590117335319519},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4538411796092987},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.45284146070480347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4523034691810608},{"id":"https://openalex.org/keywords/lattice","display_name":"Lattice (music)","score":0.451163113117218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4332198202610016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3408808708190918},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.08516225218772888}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7916293740272522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463341951370239},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5546662211418152},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.4590117335319519},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4538411796092987},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.45284146070480347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4523034691810608},{"id":"https://openalex.org/C2781204021","wikidata":"https://www.wikidata.org/wiki/Q6497091","display_name":"Lattice (music)","level":2,"score":0.451163113117218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4332198202610016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3408808708190918},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.08516225218772888},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3115/1219840.1219895","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219895","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.6060","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://acl.ldc.upenn.edu/P/P05/P05-1055.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.88.4125","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.4125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/srg/papers/2005-chelba-acl.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/1219840.1219895","is_oa":true,"landing_page_url":"https://doi.org/10.3115/1219840.1219895","pdf_url":"https://dl.acm.org/doi/pdf/10.3115/1219840.1219895","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319804","display_name":"Badan Riset dan Inovasi Nasional","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2122739968.pdf","grobid_xml":"https://content.openalex.org/works/W2122739968.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W49437105","https://openalex.org/W56827455","https://openalex.org/W88081813","https://openalex.org/W123874197","https://openalex.org/W210770835","https://openalex.org/W1514089653","https://openalex.org/W1526727648","https://openalex.org/W2004329216","https://openalex.org/W2019318646","https://openalex.org/W2066636486","https://openalex.org/W2086891622","https://openalex.org/W2111338354","https://openalex.org/W2125838338","https://openalex.org/W2168119002","https://openalex.org/W2186490579","https://openalex.org/W2789663420","https://openalex.org/W4253573210"],"related_works":["https://openalex.org/W1995805316","https://openalex.org/W2387503788","https://openalex.org/W2059658550","https://openalex.org/W4287903946","https://openalex.org/W50067980","https://openalex.org/W2999957348","https://openalex.org/W2964219139","https://openalex.org/W2803920876","https://openalex.org/W3042625184","https://openalex.org/W2053539432"],"abstract_inverted_index":{"The":[0,73,93],"paper":[1],"presents":[2],"the":[3,48,59,65,89,99,108,112,116,125,158,160,165],"Position":[4],"Specific":[5],"Posterior":[6],"Lattice,":[7],"a":[8,38,102],"novel":[9],"representation":[10],"of":[11,23,30,40,63,101,111],"automatic":[12,70],"speech":[13,71,113],"recognition":[14],"lattices":[15],"that":[16],"naturally":[17],"lends":[18],"itself":[19],"to":[20,85],"efficient":[21],"indexing":[22,64],"position":[24],"information":[25],"and":[26],"subsequent":[27],"relevance":[28],"ranking":[29,51],"spoken":[31,49],"documents":[32],"using":[33,82,88],"proximity.In":[34],"experiments":[35],"performed":[36],"on":[37,107],"collection":[39],"lecture":[41],"recordings":[42],"---":[43,47,134,144],"MIT":[44],"iCampus":[45],"data":[46],"document":[50],"accuracy":[52,162],"was":[53],"improved":[54],"by":[55],"20%":[56],"relative":[57],"over":[58,164],"commonly":[60],"used":[61,95],"baseline":[62],"1-best":[66,83],"output":[67,84,100],"from":[68,79,129],"an":[69],"recognizer.":[72],"Mean":[74],"Average":[75],"Precision":[76],"(MAP)":[77],"increased":[78],"0.53":[80],"when":[81,87],"0.62":[86],"new":[90,153],"lattice":[91,118,128],"representation.":[92],"reference":[94],"for":[96],"evaluation":[97],"is":[98,119,132],"standard":[103],"retrieval":[104],"engine":[105],"working":[106],"manual":[109],"transcription":[110],"collection.Albeit":[114],"lossy,":[115],"PSPL":[117],"also":[120],"much":[121],"more":[122],"compact":[123],"than":[124],"ASR":[126,167],"3-gram":[127],"which":[130,135],"it":[131],"computed":[133],"translates":[136],"in":[137,149,157],"reduced":[138],"inverted":[139],"index":[140],"size":[141],"as":[142],"well":[143],"at":[145],"virtually":[146],"no":[147],"degradation":[148],"word-error-rate":[150],"performance.":[151],"Since":[152],"paths":[154],"are":[155],"introduced":[156],"lattice,":[159],"ORACLE":[161],"increases":[163],"original":[166],"lattice.":[168]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
