{"id":"https://openalex.org/W2158825478","doi":"https://doi.org/10.21437/interspeech.2011-606","title":"Accelerated parallelizable neural network learning algorithm for speech recognition","display_name":"Accelerated parallelizable neural network learning algorithm for speech recognition","publication_year":2011,"publication_date":"2011-08-27","ids":{"openalex":"https://openalex.org/W2158825478","doi":"https://doi.org/10.21437/interspeech.2011-606","mag":"2158825478"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2011-606","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","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/A5034476404","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-0520-6844"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671324","display_name":"Li Deng","orcid":"https://orcid.org/0000-0002-1014-0790"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Deng","raw_affiliation_strings":["(Microsoft)"],"affiliations":[{"raw_affiliation_string":"(Microsoft)","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034476404"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7014,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.96016538,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2281","last_page":"2284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music 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"}}],"keywords":[{"id":"https://openalex.org/keywords/parallelizable-manifold","display_name":"Parallelizable manifold","score":0.9118043184280396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7503581047058105},{"id":"https://openalex.org/keywords/timit","display_name":"TIMIT","score":0.744198739528656},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6630979776382446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5212843418121338},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5169617533683777},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48072078824043274},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4663746953010559},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45947521924972534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4380429983139038},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4324701428413391},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3758496642112732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3693588376045227},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.17487558722496033}],"concepts":[{"id":"https://openalex.org/C148047603","wikidata":"https://www.wikidata.org/wiki/Q1014612","display_name":"Parallelizable manifold","level":2,"score":0.9118043184280396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7503581047058105},{"id":"https://openalex.org/C2778724510","wikidata":"https://www.wikidata.org/wiki/Q7670405","display_name":"TIMIT","level":3,"score":0.744198739528656},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6630979776382446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5212843418121338},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5169617533683777},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48072078824043274},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4663746953010559},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45947521924972534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4380429983139038},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4324701428413391},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3758496642112732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3693588376045227},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.17487558722496033},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2011-606","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2011-606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.368.4994","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.4994","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/pubs/152134/SingleLayer4ASR-Interspeech2011-pub.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W217970951","https://openalex.org/W272615811","https://openalex.org/W2002984713","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2124173482","https://openalex.org/W2124541940","https://openalex.org/W2141778357","https://openalex.org/W2147768505","https://openalex.org/W2168013545","https://openalex.org/W2394932179","https://openalex.org/W3141595720"],"related_works":["https://openalex.org/W2071828724","https://openalex.org/W1994694193","https://openalex.org/W2161865195","https://openalex.org/W170831052","https://openalex.org/W4247725880","https://openalex.org/W1006721676","https://openalex.org/W2100854157","https://openalex.org/W1771058801","https://openalex.org/W2978471304","https://openalex.org/W4285346358"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,44],"set":[3],"of":[4,25,47],"novel,":[5],"batch-mode":[6,124],"algorithms":[7,27,125],"we":[8],"developed":[9],"recently":[10],"as":[11,43,112],"one":[12],"key":[13],"component":[14],"in":[15,60,126],"scalable,":[16],"deep":[17,156],"neural":[18,33,140],"network":[19,34],"based":[20],"speech":[21,129,154],"recognition.":[22],"The":[23,91],"essence":[24],"these":[26],"is":[28,53,108],"to":[29,64,80],"structure":[30,52],"the":[31,37,48,61,65,73,82,87,105,113,119,122],"singlehidden-layer":[32],"so":[35],"that":[36],"upper-layer\u2019s":[38],"weights":[39],"can":[40],"be":[41],"written":[42],"deterministic":[45,62],"function":[46,63,70],"lower-layer\u2019s":[49],"weights.":[50],"This":[51,117],"effectively":[54],"exploited":[55,79],"during":[56],"training":[57],"by":[58],"plugging":[59],"least":[66],"square":[67],"error":[68,106],"objective":[69],"while":[71],"calculating":[72],"gradients.":[74],"Accelerating":[75],"techniques":[76],"are":[77,133],"further":[78],"make":[81],"weight":[83],"updates":[84],"move":[85],"along":[86],"most":[88],"promising":[89],"directions.":[90],"experiments":[92],"on":[93],"TIMIT":[94],"frame-level":[95],"phone":[96,151],"and":[97],"phonestate":[98],"classification":[99],"show":[100],"strong":[101],"results.":[102],"In":[103],"particular,":[104],"rate":[107],"strictly":[109],"monotonically":[110],"dropping":[111],"minibatch":[114],"size":[115],"increases.":[116],"demonstrates":[118],"potential":[120],"for":[121],"proposed":[123],"large":[127],"scale":[128],"recognition":[130],"since":[131],"they":[132],"easily":[134],"parallelizable":[135],"across":[136],"computers.":[137],"Index":[138],"Terms:":[139],"network,":[141],"scalability,":[142],"structure,":[143],"constraints,":[144],"FISTA":[145],"acceleration,":[146],"optimization,":[147],"pseudoinverse,":[148],"weighted":[149],"LSE,":[150],"state":[152],"classification,":[153],"recognition,":[155],"learning":[157],"1.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}