{"id":"https://openalex.org/W285205250","doi":"https://doi.org/10.21437/interspeech.2004-185","title":"Spontaneous speech recognition using a massively parallel decoder","display_name":"Spontaneous speech recognition using a massively parallel decoder","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W285205250","doi":"https://doi.org/10.21437/interspeech.2004-185","mag":"285205250"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-185","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-185","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100501631/ATD100000413/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103015161","display_name":"Takahiro Shinozaki","orcid":"https://orcid.org/0000-0001-8114-8450"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Shinozaki","raw_affiliation_strings":["Tokyo Inst. of Tech"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Inst. of Tech","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009532108","display_name":"Sadaoki Furui","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sadaoki Furui","raw_affiliation_strings":["University of Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1705","last_page":"1708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998000264167786,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/decoding-methods","display_name":"Decoding methods","score":0.8367615342140198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8163868188858032},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.703700602054596},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.6669070720672607},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.6469618082046509},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5731574892997742},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5346884727478027},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.48901209235191345},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4781980514526367},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47482046484947205},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4720234274864197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35428646206855774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3405863046646118},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09044948220252991},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06767794489860535}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8367615342140198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8163868188858032},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.703700602054596},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.6669070720672607},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.6469618082046509},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5731574892997742},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5346884727478027},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.48901209235191345},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4781980514526367},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47482046484947205},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4720234274864197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35428646206855774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3405863046646118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09044948220252991},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06767794489860535},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-185","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-185","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"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00107094","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100501631","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100501631/ATD100000413/","source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:t2r2.star.titech.ac.jp:00107094","is_oa":true,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100501631","pdf_url":"http://t2r2.star.titech.ac.jp/rrws/file/CTT100501631/ATD100000413/","source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W285205250.pdf","grobid_xml":"https://content.openalex.org/works/W285205250.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W87954838","https://openalex.org/W1893339448","https://openalex.org/W1904457459","https://openalex.org/W2102582131","https://openalex.org/W2110332835","https://openalex.org/W2121227244","https://openalex.org/W2131156500","https://openalex.org/W2159518412"],"related_works":["https://openalex.org/W50892825","https://openalex.org/W2594897229","https://openalex.org/W2151348424","https://openalex.org/W4221142855","https://openalex.org/W2050138804","https://openalex.org/W2129812225","https://openalex.org/W2944691285","https://openalex.org/W4290708361","https://openalex.org/W26527944","https://openalex.org/W2523799048"],"abstract_inverted_index":{"Since":[0],"spontaneous":[1],"utterances":[2],"include":[3],"many":[4],"variations,":[5],"speakerand":[6],"task-independent":[7],"general":[8],"models":[9,21,95,101,112,122],"do":[10],"not":[11],"work":[12],"well.This":[13],"paper":[14],"proposes":[15],"combining":[16],"cluster-based":[17],"language":[18,125],"and":[19,62,76,102,126,145],"acoustic":[20,127],"based":[22],"on":[23,58],"the":[24,64,79,86,147,161],"framework":[25],"of":[26,41,53,88,93,142],"Massively":[27],"Parallel":[28],"Decoder":[29],"(MPD).The":[30],"MPD":[31],"is":[32,48,67],"a":[33,38,59,73,77],"parallel":[34,60],"decoder":[35],"that":[36,109,133],"has":[37,106,129],"large":[39],"number":[40],"decoding":[42,136],"units,":[43],"in":[44,123,140,146,152,158],"which":[45],"each":[46,51],"unit":[47],"assigned":[49],"to":[50,69],"combination":[52],"element":[54],"models.It":[55,105],"runs":[56],"efficiently":[57],"computer,":[61],"thus":[63],"turnaround":[65],"time":[66],"comparable":[68],"conventional":[70,162],"decoders":[71],"using":[72,82],"single":[74],"model":[75],"processor.In":[78],"experiments":[80],"conducted":[81],"lecture":[83],"speeches":[84],"from":[85],"Corpus":[87],"Spontaneous":[89],"Japanese,":[90],"two":[91],"types":[92],"cluster":[94,100,104,111,121],"have":[96],"been":[97,107,131],"investigated:":[98],"lecture-based":[99,120],"utterancebased":[103,110],"confirmed":[108],"give":[113],"significantly":[114],"lower":[115],"recognition":[116,143],"error":[117,154],"rate":[118,155],"than":[119],"both":[124],"modeling.It":[128],"also":[130],"shown":[132],"roughly":[134],"100":[135],"units":[137],"are":[138],"enough":[139],"terms":[141],"rate,":[144],"best":[148],"setting,":[149],"12%":[150],"reduction":[151],"word":[153],"was":[156],"obtained":[157],"comparison":[159],"with":[160],"decoder.":[163]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
