{"id":"https://openalex.org/W2695252763","doi":"https://doi.org/10.1109/icassp.2017.7953116","title":"Extended low-rank plus diagonal adaptation for deep and recurrent neural networks","display_name":"Extended low-rank plus diagonal adaptation for deep and recurrent neural networks","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2695252763","doi":"https://doi.org/10.1109/icassp.2017.7953116","mag":"2695252763"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100702071","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0003-2644-952X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365053","display_name":"Jinyu Li","orcid":"https://orcid.org/0000-0002-1089-9748"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyu Li","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047826067","display_name":"Kshitiz Kumar","orcid":"https://orcid.org/0000-0003-2728-2493"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kshitiz Kumar","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101928537","display_name":"Yifan Gong","orcid":"https://orcid.org/0000-0002-3912-097X"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Gong","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100702071"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":2.9254,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92880294,"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":"5040","last_page":"5044"},"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/T10860","display_name":"Speech 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/T11309","display_name":"Music and Audio Processing","score":0.9909999966621399,"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/adaptation","display_name":"Adaptation (eye)","score":0.7888588905334473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7601203322410583},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5488985180854797},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5222112536430359},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4872256815433502},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44627413153648376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4177863895893097},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40677982568740845},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3868211507797241},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3241909146308899},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.221929669380188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13607677817344666}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7888588905334473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7601203322410583},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5488985180854797},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5222112536430359},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4872256815433502},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44627413153648376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4177863895893097},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40677982568740845},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3868211507797241},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3241909146308899},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.221929669380188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13607677817344666},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":44,"referenced_works":["https://openalex.org/W82936479","https://openalex.org/W143957211","https://openalex.org/W185613617","https://openalex.org/W330298975","https://openalex.org/W1513820424","https://openalex.org/W1513862252","https://openalex.org/W1567690964","https://openalex.org/W1770758908","https://openalex.org/W1984541135","https://openalex.org/W1985371235","https://openalex.org/W1989549063","https://openalex.org/W1993409002","https://openalex.org/W2005708641","https://openalex.org/W2010362084","https://openalex.org/W2056738732","https://openalex.org/W2064675550","https://openalex.org/W2076794394","https://openalex.org/W2079623482","https://openalex.org/W2080005694","https://openalex.org/W2087006792","https://openalex.org/W2094147890","https://openalex.org/W2112021726","https://openalex.org/W2117239706","https://openalex.org/W2143612262","https://openalex.org/W2147768505","https://openalex.org/W2160306971","https://openalex.org/W2181607856","https://openalex.org/W2293634267","https://openalex.org/W2294543795","https://openalex.org/W2296748324","https://openalex.org/W2394882406","https://openalex.org/W2396384435","https://openalex.org/W2400607496","https://openalex.org/W2403524927","https://openalex.org/W2403797310","https://openalex.org/W2508162385","https://openalex.org/W6603403951","https://openalex.org/W6607553906","https://openalex.org/W6672565315","https://openalex.org/W6696912008","https://openalex.org/W6696934422","https://openalex.org/W6697318756","https://openalex.org/W6713292810","https://openalex.org/W6713297655"],"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/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2891987081"],"abstract_inverted_index":{"Recently,":[0],"the":[1,21,43,47,53,59,65,74,77,87,94,101,113,121,126,132,138,141,146],"low-rank":[2,36],"plus":[3],"diagonal":[4,29],"(LRPD)":[5],"adaptation":[6,11,22,45,63,78,88,123,159],"was":[7],"proposed":[8],"for":[9,64,131,137],"speaker":[10],"of":[12,27,34,76,107,163],"deep":[13],"neural":[14],"network":[15],"(DNN)":[16],"models.":[17],"The":[18,149],"LRPD":[19,44,61],"restructures":[20],"matrix":[23,30],"as":[24],"a":[25,28,32],"superposition":[26],"and":[31,67,135],"product":[33],"two":[35],"matrices.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,92],"extend":[42],"into":[46],"subspace-based":[48],"approach":[49,98],"to":[50,79,99,154],"further":[51],"reduce":[52,125],"speaker-dependent":[54],"(SD)":[55],"footprint.":[56],"We":[57],"apply":[58],"extended":[60],"(eLRPD)":[62],"DNN":[66,134],"LSTM":[68],"models":[69],"with":[70],"emphasis":[71],"placed":[72],"on":[73,112],"applicability":[75],"large-scale":[80],"speech":[81],"recognition":[82,164],"systems.":[83],"To":[84],"speed":[85],"up":[86,153],"in":[89,158],"test":[90],"time,":[91],"propose":[93],"bottleneck":[95],"(BN)":[96],"caching":[97,151],"eliminate":[100],"redundant":[102],"computations":[103],"during":[104],"multiple":[105],"sweeps":[106],"development":[108],"data.":[109],"Experimental":[110],"results":[111],"short":[114],"message":[115],"dictation":[116],"(SMD)":[117],"task":[118],"show":[119],"that":[120],"eLRPD":[122],"can":[124],"SD":[127],"footprints":[128],"by":[129],"82%":[130],"SVD":[133],"96%":[136],"LSTM-RNN":[139],"over":[140],"linear":[142],"adaptation,":[143],"while":[144],"maintaining":[145],"comparable":[147],"accuracy.":[148,165],"BN":[150],"achieves":[152],"3.5":[155],"times":[156],"speedup":[157],"at":[160],"no":[161],"loss":[162]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}