{"id":"https://openalex.org/W2559959364","doi":"https://doi.org/10.1109/iscslp.2016.7918370","title":"Investigating gated recurrent neural networks for acoustic modeling","display_name":"Investigating gated recurrent neural networks for acoustic modeling","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2559959364","doi":"https://doi.org/10.1109/iscslp.2016.7918370","mag":"2559959364"},"language":"en","primary_location":{"id":"doi:10.1109/iscslp.2016.7918370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2016.7918370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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/A5101995701","display_name":"Yuanyuan Zhao","orcid":"https://orcid.org/0000-0002-6107-2185"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanyuan Zhao","raw_affiliation_strings":["Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428285","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-7561-7043"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004363895","display_name":"Shuang Xu","orcid":"https://orcid.org/0000-0003-3576-6914"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Xu","raw_affiliation_strings":["Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065635207","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0001-6379-7617"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Interactive Digital Media Technology Research Center, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101995701"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90944552,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9987000226974487,"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/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8541001081466675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7498139142990112},{"id":"https://openalex.org/keywords/reset","display_name":"Reset (finance)","score":0.727880597114563},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6332129240036011},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5685933828353882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5218445062637329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48263129591941833},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4594266414642334},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43770354986190796},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4244105815887451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37938421964645386}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8541001081466675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498139142990112},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.727880597114563},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6332129240036011},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5685933828353882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5218445062637329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48263129591941833},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4594266414642334},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43770354986190796},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4244105815887451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37938421964645386},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscslp.2016.7918370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscslp.2016.7918370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 10th International Symposium on Chinese Spoken Language Processing (ISCSLP)","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":28,"referenced_works":["https://openalex.org/W194249466","https://openalex.org/W581956982","https://openalex.org/W1499864241","https://openalex.org/W1586532344","https://openalex.org/W1635512741","https://openalex.org/W1689711448","https://openalex.org/W1924770834","https://openalex.org/W1951216520","https://openalex.org/W2057653135","https://openalex.org/W2064675550","https://openalex.org/W2087402357","https://openalex.org/W2107878631","https://openalex.org/W2110871230","https://openalex.org/W2115730999","https://openalex.org/W2143612262","https://openalex.org/W2155273149","https://openalex.org/W2157331557","https://openalex.org/W2160306971","https://openalex.org/W2239904444","https://openalex.org/W2290318471","https://openalex.org/W2293009711","https://openalex.org/W2404782708","https://openalex.org/W2962826786","https://openalex.org/W2964060510","https://openalex.org/W6616837769","https://openalex.org/W6629930100","https://openalex.org/W6696982659","https://openalex.org/W6712969915"],"related_works":["https://openalex.org/W1992815253","https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2890685186","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W2912831041"],"abstract_inverted_index":{"Recurrent":[0],"neural":[1],"networks":[2],"(RNNs)":[3],"with":[4,103],"a":[5,54,123,128],"gating":[6],"mechanism":[7,140],"have":[8],"been":[9],"shown":[10],"to":[11,76,88,134,145],"give":[12],"state-of-the-art":[13],"performance":[14,102],"in":[15,122,141,143],"acoustic":[16],"modeling,":[17],"such":[18],"as":[19],"gated":[20,41],"recurrent":[21],"unit":[22],"(GRU),":[23],"long":[24,28],"short-term":[25,29],"memory":[26,30,80],"(LSTM),":[27],"projected":[31],"(L-STMP),":[32],"etc.":[33],"But":[34],"little":[35],"is":[36,74,132,166],"known":[37],"about":[38],"why":[39],"these":[40,50],"RNNs":[42,142],"work":[43],"and":[44,59,114,159],"what":[45],"the":[46,78,83,90,108,136,156],"differences":[47],"are":[48],"among":[49],"networks.":[51],"Based":[52],"on":[53,149],"series":[55],"of":[56,111],"experimental":[57],"comparison":[58],"analysis,":[60],"we":[61],"find":[62],"that:":[63],"a)":[64],"GRU":[65,73],"usually":[66],"performs":[67],"better":[68],"than":[69],"LSTM,":[70],"for":[71,95],"possibly":[72],"able":[75],"modulate":[77],"previous":[79],"content":[81],"through":[82],"learned":[84,119],"reset":[85],"gates,":[86],"helping":[87],"model":[89],"long-span":[91],"dependence":[92],"more":[93],"efficiently":[94],"speech":[96,152],"sequence;":[97],"b)":[98],"LSTMP":[99,106],"shows":[100],"comparable":[101],"GRU,":[104],"since":[105],"has":[107],"similar":[109],"ability":[110],"information":[112,138],"selection":[113,139],"combination":[115],"by":[116],"an":[117],"automatic":[118],"linear":[120],"transformation":[121],"weight-sharing":[124],"way.":[125],"In":[126],"experiments,":[127],"visual":[129],"analysis":[130],"method":[131],"adopted":[133],"understand":[135],"historical":[137],"contrast":[144],"DNN.":[146],"Experimental":[147],"results":[148],"three":[150],"different":[151],"recognition":[153],"tasks":[154],"demonstrate":[155],"above":[157],"conclusions":[158],"5%-13%":[160],"relative":[161],"PER":[162],"or":[163],"CER":[164],"reduction":[165],"observed.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}