{"id":"https://openalex.org/W1513982904","doi":"https://doi.org/10.1109/icassp.2015.7178834","title":"Deep recurrent regularization neural network for speech recognition","display_name":"Deep recurrent regularization neural network for speech recognition","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1513982904","doi":"https://doi.org/10.1109/icassp.2015.7178834","mag":"1513982904"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013382472","display_name":"Tsai-Wei Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsai-Wei Lu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan, ROC","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan 30010, ROC","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061908942"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":2.5886,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91063088,"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":"4560","last_page":"4564"},"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/T11309","display_name":"Music and Audio Processing","score":0.9994000196456909,"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":0.9988999962806702,"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/tikhonov-regularization","display_name":"Tikhonov regularization","score":0.7859134674072266},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7385204434394836},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6385942697525024},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6367937326431274},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6252832412719727},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5925056338310242},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.5869598984718323},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5604396462440491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5347299575805664},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5346609354019165},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47735121846199036},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.45841264724731445},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4470076262950897},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4391997456550598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41593873500823975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14771884679794312},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.12295746803283691},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.060547709465026855}],"concepts":[{"id":"https://openalex.org/C152442038","wikidata":"https://www.wikidata.org/wiki/Q2778212","display_name":"Tikhonov regularization","level":3,"score":0.7859134674072266},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7385204434394836},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6385942697525024},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6367937326431274},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6252832412719727},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5925056338310242},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5869598984718323},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5604396462440491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5347299575805664},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5346609354019165},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47735121846199036},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.45841264724731445},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4470076262950897},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4391997456550598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41593873500823975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14771884679794312},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.12295746803283691},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.060547709465026855},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W44815768","https://openalex.org/W179875071","https://openalex.org/W198187986","https://openalex.org/W1524333225","https://openalex.org/W1904365287","https://openalex.org/W2015631279","https://openalex.org/W2019991208","https://openalex.org/W2052250648","https://openalex.org/W2063224314","https://openalex.org/W2099733939","https://openalex.org/W2115730999","https://openalex.org/W2131342762","https://openalex.org/W2143612262","https://openalex.org/W2149846618","https://openalex.org/W2160815625","https://openalex.org/W6600213771","https://openalex.org/W6607333740","https://openalex.org/W6631362777","https://openalex.org/W6640036494","https://openalex.org/W6679429981"],"related_works":["https://openalex.org/W2524120878","https://openalex.org/W2794343888","https://openalex.org/W2890297197","https://openalex.org/W1595652908","https://openalex.org/W2109916967","https://openalex.org/W2089093251","https://openalex.org/W2083677758","https://openalex.org/W2101697354","https://openalex.org/W2408618716","https://openalex.org/W1538193578"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,18,53,64,112],"deep":[4],"recurrent":[5,80,92],"regularization":[6,19,31,113],"neural":[7,20,81,114],"network":[8,21,82],"(DRRNN)":[9],"for":[10,56,79,133],"speech":[11,40,134],"recognition.":[12,135],"Our":[13],"idea":[14],"is":[15,71,87,103],"to":[16,37,106],"build":[17],"acoustic":[22,101],"model":[23,45,102],"by":[24,73],"conducting":[25],"the":[26,34,38,44,48,75,84,108,119,126],"hybrid":[27],"Tikhonov":[28],"and":[29,59,123,128],"weight-decay":[30],"which":[32],"compensates":[33],"variations":[35],"due":[36],"input":[39],"as":[41,43,52],"well":[42],"parameters":[46],"in":[47,91,96,111],"restricted":[49],"Boltzmann":[50],"machine":[51],"pre-training":[54],"stage":[55],"feature":[57],"learning":[58],"structural":[60],"modeling.":[61],"In":[62],"addition,":[63],"new":[65],"backpropagation":[66],"through":[67],"time":[68],"(BPTT)":[69],"algorithm":[70],"developed":[72],"extending":[74],"truncated":[76],"minibatch":[77,85],"training":[78],"where":[83],"BPTT":[86],"not":[88],"only":[89],"performed":[90],"layer":[93],"but":[94],"also":[95],"feedforward":[97],"layer.":[98],"The":[99],"DRRNN":[100,132],"accordingly":[104],"established":[105],"capture":[107],"temporal":[109],"correlation":[110],"network.":[115],"Experimental":[116],"results":[117],"on":[118],"tasks":[120],"of":[121,130],"RM":[122],"Aurora4":[124],"show":[125],"effectiveness":[127],"robustness":[129],"using":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}