{"id":"https://openalex.org/W619799124","doi":"https://doi.org/10.21437/interspeech.2014-211","title":"Distributed learning of multilingual DNN feature extractors using GPUs","display_name":"Distributed learning of multilingual DNN feature extractors using GPUs","publication_year":2014,"publication_date":"2014-09-14","ids":{"openalex":"https://openalex.org/W619799124","doi":"https://doi.org/10.21437/interspeech.2014-211","mag":"619799124"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2014-211","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Distributed_Learning_of_Multilingual_DNN_Feature_Extractors_using_GPUs/6473321","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003251887","display_name":"Yajie Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yajie Miao","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396872","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-2058-7123"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085262529","display_name":"Florian Metze","orcid":"https://orcid.org/0000-0002-6663-8600"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florian Metze","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":3.5151,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.94188942,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"830","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10860","display_name":"Speech and Audio Processing","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8754420876502991},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6877782344818115},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.632920503616333},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6019235849380493},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5549055337905884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5484970808029175},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5422905087471008},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4974687397480011},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4947888255119324},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4915560185909271},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4484923183917999},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42633092403411865},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42363569140434265},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33296310901641846},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.32839080691337585},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07076948881149292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8754420876502991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6877782344818115},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.632920503616333},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6019235849380493},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5549055337905884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5484970808029175},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5422905087471008},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4974687397480011},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4947888255119324},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4915560185909271},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4484923183917999},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42633092403411865},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42363569140434265},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33296310901641846},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.32839080691337585},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07076948881149292},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.21437/interspeech.2014-211","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2014-211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2014","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:lti-1070","is_oa":false,"landing_page_url":"http://repository.cmu.edu/lti/70","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Language Technologies Institute","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.711.3055","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.711.3055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cmu.edu/%7Eymiao/pub/dist_draft_final.pdf","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/6473321","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Distributed_Learning_of_Multilingual_DNN_Feature_Extractors_using_GPUs/6473321","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6473321.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6473321.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6473321","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Distributed_Learning_of_Multilingual_DNN_Feature_Extractors_using_GPUs/6473321","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W17156489","https://openalex.org/W319941341","https://openalex.org/W567546468","https://openalex.org/W587565084","https://openalex.org/W596888916","https://openalex.org/W655723668","https://openalex.org/W1218987319","https://openalex.org/W1661756259","https://openalex.org/W1929850838","https://openalex.org/W1970088388","https://openalex.org/W1978660892","https://openalex.org/W2002342963","https://openalex.org/W2023155336","https://openalex.org/W2025198378","https://openalex.org/W2025487094","https://openalex.org/W2026369565","https://openalex.org/W2071310251","https://openalex.org/W2087402357","https://openalex.org/W2089917322","https://openalex.org/W2107469355","https://openalex.org/W2112739286","https://openalex.org/W2119531180","https://openalex.org/W2120209245","https://openalex.org/W2120480077","https://openalex.org/W2144839971","https://openalex.org/W2147768505","https://openalex.org/W2155273149","https://openalex.org/W2160306971","https://openalex.org/W2166706236","https://openalex.org/W2168231600","https://openalex.org/W2253807446","https://openalex.org/W2394932179","https://openalex.org/W2397534874","https://openalex.org/W2399153411","https://openalex.org/W2962719052","https://openalex.org/W2964138484"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2966297898","https://openalex.org/W2955229517","https://openalex.org/W4287755480","https://openalex.org/W2785875001"],"abstract_inverted_index":{"Multilingual":[0],"deep":[1,8],"neural":[2],"networks":[3],"(DNNs)":[4],"can":[5],"act":[6],"as":[7],"feature":[9,22,66],"extractors":[10,23],"and":[11,35,61,71,93,122],"have":[12],"been":[13],"applied":[14],"successfully":[15],"to":[16,48,116,119],"crosslanguage":[17],"acoustic":[18],"modeling.":[19],"Learning":[20],"these":[21],"becomes":[24],"an":[25],"expensive":[26],"task,":[27],"because":[28],"of":[29,39,81],"the":[30,36,50,59,78],"enlarged":[31],"multilingual":[32],"training":[33],"data":[34],"sequential":[37],"nature":[38],"stochastic":[40],"gradient":[41],"descent":[42],"(SGD).":[43],"This":[44],"paper":[45],"investigates":[46],"strategies":[47],"accelerate":[49],"learning":[51,68],"process":[52],"over":[53],"multiple":[54],"GPU":[55,123],"cards.":[56,124],"We":[57],"propose":[58],"DistModel":[60,76,89,118],"DistLang":[62],"frameworks":[63],"which":[64],"distribute":[65],"extractor":[67],"by":[69],"models":[70],"languages":[72,121],"respectively.":[73],"The":[74],"time-synchronous":[75],"has":[77],"nice":[79],"property":[80],"tolerating":[82],"infrequent":[83],"model":[84],"averaging.":[85],"With":[86],"3":[87],"GPUs,":[88],"achieves":[90],"2.6\u00d7":[91],"speed-up":[92],"causes":[94],"no":[95],"loss":[96],"on":[97],"word":[98],"error":[99],"rates.":[100],"When":[101],"using":[102],"DistLang,":[103],"we":[104],"observe":[105],"better":[106],"acceleration":[107],"but":[108],"worse":[109],"recognition":[110],"performance.":[111],"Further":[112],"evaluations":[113],"are":[114],"conducted":[115],"scale":[117],"more":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
