{"id":"https://openalex.org/W52445081","doi":"https://doi.org/10.21437/interspeech.2004-138","title":"Memory efficient decoding graph compilation with wide cross-word acoustic context","display_name":"Memory efficient decoding graph compilation with wide cross-word acoustic context","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W52445081","doi":"https://doi.org/10.21437/interspeech.2004-138","mag":"52445081"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-138","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-138","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/A5030825867","display_name":"Miroslav Nov\u00e1k","orcid":"https://orcid.org/0000-0001-9239-4120"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Miroslav Novak","raw_affiliation_strings":["IBM, ,"],"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061857173","display_name":"Vladim\u00edr Bergl","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Bergl","raw_affiliation_strings":["IBM, ,"],"affiliations":[{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030825867"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.00594536,"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":"281","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","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/T11269","display_name":"Algorithms and Data Compression","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":0.9980000257492065,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9955000281333923,"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":0.8654745817184448},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7629063725471497},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5291999578475952},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5197441577911377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4728332459926605},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4214813709259033},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4115493893623352},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34414052963256836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.223728209733963},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18535634875297546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08086800575256348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654745817184448},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7629063725471497},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5291999578475952},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5197441577911377},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4728332459926605},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4214813709259033},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4115493893623352},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34414052963256836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.223728209733963},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18535634875297546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08086800575256348},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2004-138","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-138","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W10656737","https://openalex.org/W12115718","https://openalex.org/W2046932483","https://openalex.org/W2091568022","https://openalex.org/W2144462324","https://openalex.org/W2154478838"],"related_works":["https://openalex.org/W3203142394","https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W2542937328","https://openalex.org/W4251141768","https://openalex.org/W4360952157"],"abstract_inverted_index":{"We":[0,21],"present":[1],"an":[2,23],"efficient":[3],"technique":[4,36],"for":[5,76],"the":[6,46,63,68,71,77],"compilation":[7],"of":[8,17,45],"static":[9],"decoding":[10],"graphs":[11],"which":[12,56],"can":[13],"utilize":[14],"full":[15],"word":[16],"left":[18],"cross-word":[19],"context.":[20],"put":[22],"emphasis":[24],"on":[25,37],"memory":[26,65],"efficiency,":[27],"in":[28],"particular":[29],"to":[30,33],"be":[31],"able":[32],"deploy":[34],"this":[35],"platforms":[38],"with":[39,62],"limited":[40],"resources.":[41],"The":[42],"incremental":[43],"application":[44],"composition":[47,69],"process":[48],"efficiently":[49],"produces":[50],"a":[51],"weighted":[52],"finite":[53],"state":[54],"acceptor":[55],"is":[57],"globally":[58],"deterministic":[59],"and":[60],"minimized":[61],"maximum":[64],"need":[66],"during":[67],"essentially":[70],"same":[72],"as":[73],"that":[74],"needed":[75],"final":[78],"graph.":[79]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}