{"id":"https://openalex.org/W114504754","doi":"https://doi.org/10.21437/interspeech.2010-436","title":"Exploring recognition network representations for efficient speech inference on highly parallel platforms","display_name":"Exploring recognition network representations for efficient speech inference on highly parallel platforms","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W114504754","doi":"https://doi.org/10.21437/interspeech.2010-436","mag":"114504754"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2010-436","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-436","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/A5110429803","display_name":"Jike Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jike Chong","raw_affiliation_strings":["University of California, Berkeley, Berkeley, United States"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, United States","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014047489","display_name":"Ekaterina Gonina","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ekaterina Gonina","raw_affiliation_strings":["University of California, Berkeley, Berkeley, United States"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, United States","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111475467","display_name":"Kisun You","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kisun You","raw_affiliation_strings":["Seoul National University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047285420","display_name":"Kurt Keutzer","orcid":"https://orcid.org/0000-0003-3868-8501"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kurt Keutzer","raw_affiliation_strings":["University of California, Berkeley, Berkeley, United States"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, United States","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110429803"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":3.7239,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92862021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1489","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9990000128746033,"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":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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":0.9965000152587891,"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":0.8157370090484619},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7650152444839478},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.645138680934906},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.43149131536483765},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4132627844810486},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4120485782623291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3220881223678589},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2479836642742157}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8157370090484619},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7650152444839478},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.645138680934906},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.43149131536483765},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4132627844810486},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4120485782623291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3220881223678589},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2479836642742157},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2010-436","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2010-436","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.296.7484","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.7484","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eecs.berkeley.edu/~egonina/docs/is2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W34089377","https://openalex.org/W153444084","https://openalex.org/W167388389","https://openalex.org/W1501633760","https://openalex.org/W1557273125","https://openalex.org/W1977434607","https://openalex.org/W2016185147","https://openalex.org/W2037102844","https://openalex.org/W2046932483","https://openalex.org/W2138234674","https://openalex.org/W2154681956","https://openalex.org/W2333081718"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2062195135","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1984019423","https://openalex.org/W2795079307"],"abstract_inverted_index":{"The":[0],"emergence":[1],"of":[2,92,139],"highly":[3,156],"parallel":[4,37,157],"computing":[5,158],"platforms":[6],"is":[7,149],"enabling":[8],"new":[9],"trade-offs":[10],"in":[11],"algorithm":[12],"design":[13],"for":[14,49,107],"automatic":[15],"speech":[16,50,141],"recognition.":[17],"It":[18],"naturally":[19],"motivates":[20],"the":[21,25,33,53,59,73,85,89,93,113,122,127,137,146,152],"following":[22],"investigation:":[23],"do":[24],"most":[26,34],"computationally":[27,35],"efficient":[28,36],"sequential":[29],"algorithms":[30],"lead":[31],"to":[32,119],"algorithms?":[38],"In":[39],"this":[40],"paper":[41],"we":[42],"explore":[43],"two":[44],"contending":[45],"recognition":[46],"network":[47],"representations":[48],"inference":[51,70,142],"engines:":[52],"linear":[54],"lexical":[55],"model":[56],"(LLM)":[57],"and":[58,101,126,134],"weighted":[60],"finite":[61],"state":[62,109],"transducer":[63],"(WFST).":[64],"We":[65,111],"demonstrate":[66],"that":[67,136],"while":[68],"an":[69],"engine":[71,143],"using":[72],"simpler":[74],"LLM":[75,94,147],"representation":[76,95,148,154],"evaluates":[77],"22":[78],"\u00d7":[79,98,103],"more":[80],"transitions":[81],"per":[82],"second":[83],"than":[84],"advanced":[86],"WFST":[87,153],"representation,":[88],"simple":[90],"structure":[91],"allows":[96],"4.7-6.4":[97],"faster":[99,104],"evaluation":[100],"53-65":[102],"operands":[105],"gathering":[106],"each":[108],"transition.":[110],"use":[112],"5k":[114],"Wall":[115],"Street":[116],"Journal":[117],"corpus":[118],"experiment":[120],"on":[121,145,155],"NVIDIA":[123,128],"GTX480":[124],"(Fermi)":[125],"GTX285":[129],"Graphics":[130],"Processing":[131],"Units":[132],"(GPUs),":[133],"illustrate":[135],"performance":[138],"a":[140],"based":[144],"competitive":[150],"with":[151],"platforms.":[159]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}