{"id":"https://openalex.org/W2978736135","doi":"https://doi.org/10.1109/ijcnn.2019.8852021","title":"Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons","display_name":"Parameter Reduction For Deep Neural Network Based Acoustic Models Using Sparsity Regularized Factorization Neurons","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978736135","doi":"https://doi.org/10.1109/ijcnn.2019.8852021","mag":"2978736135"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5021917859","display_name":"Hoon Chung","orcid":"https://orcid.org/0000-0003-2551-1352"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoon Chung","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048021125","display_name":"Euisok Chung","orcid":"https://orcid.org/0000-0001-5091-2508"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Euisok Chung","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009820747","display_name":"Jeon Gue Park","orcid":"https://orcid.org/0000-0002-1499-5542"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeon Gue Park","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051792648","display_name":"Ho\u2010Young Jung","orcid":"https://orcid.org/0000-0003-0398-831X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Young Jung","raw_affiliation_strings":["Electronics and Telecommunications Research Institute, Daejeon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute, Daejeon, Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1669,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.45815327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9986000061035156,"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":0.9979000091552734,"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/reduction","display_name":"Reduction (mathematics)","score":0.6508394479751587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5971934199333191},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5737248063087463},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5667785406112671},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5523574352264404},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5063830614089966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47992950677871704},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4732166826725006},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.456606388092041},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.43182986974716187},{"id":"https://openalex.org/keywords/diagonal-matrix","display_name":"Diagonal matrix","score":0.41599804162979126},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3594719469547272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3498179316520691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3410383462905884},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.10005775094032288}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6508394479751587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971934199333191},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5737248063087463},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5667785406112671},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5523574352264404},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5063830614089966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47992950677871704},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4732166826725006},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.456606388092041},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.43182986974716187},{"id":"https://openalex.org/C113313756","wikidata":"https://www.wikidata.org/wiki/Q332791","display_name":"Diagonal matrix","level":3,"score":0.41599804162979126},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3594719469547272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3498179316520691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3410383462905884},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.10005775094032288},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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":46,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W1524333225","https://openalex.org/W1665214252","https://openalex.org/W1734538896","https://openalex.org/W1735150698","https://openalex.org/W1806891645","https://openalex.org/W2013912476","https://openalex.org/W2058641082","https://openalex.org/W2089917322","https://openalex.org/W2102113734","https://openalex.org/W2110096996","https://openalex.org/W2112984492","https://openalex.org/W2125448670","https://openalex.org/W2135029798","https://openalex.org/W2147768505","https://openalex.org/W2160815625","https://openalex.org/W2182629226","https://openalex.org/W2193413348","https://openalex.org/W2214579952","https://openalex.org/W2294543795","https://openalex.org/W2296516251","https://openalex.org/W2312434537","https://openalex.org/W2402040300","https://openalex.org/W2497335382","https://openalex.org/W2899771611","https://openalex.org/W2949964376","https://openalex.org/W2962826786","https://openalex.org/W3028642772","https://openalex.org/W3030286867","https://openalex.org/W3099950000","https://openalex.org/W3143596294","https://openalex.org/W3207236467","https://openalex.org/W4299823361","https://openalex.org/W6617368339","https://openalex.org/W6631362777","https://openalex.org/W6637242042","https://openalex.org/W6675365184","https://openalex.org/W6680012447","https://openalex.org/W6686067075","https://openalex.org/W6687566353","https://openalex.org/W6696912008","https://openalex.org/W6697811694","https://openalex.org/W6712847557","https://openalex.org/W6756040250","https://openalex.org/W6777926273","https://openalex.org/W6802838174"],"related_works":["https://openalex.org/W1529195008","https://openalex.org/W1973739845","https://openalex.org/W119752240","https://openalex.org/W2070323717","https://openalex.org/W2034395027","https://openalex.org/W3157489721","https://openalex.org/W2028994362","https://openalex.org/W38983538","https://openalex.org/W2924468784","https://openalex.org/W2034598826"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,98],"propose":[4,99],"a":[5,39,130,150],"deep":[6],"neural":[7],"network":[8],"(DNN)":[9],"model":[10,25,43,104,109,152],"parameter":[11,26,105],"reduction":[12,27,106],"technique":[13],"for":[14],"an":[15,100],"efficient":[16],"acoustic":[17],"model.":[18],"One":[19],"of":[20,42,114,124,129,141],"the":[21,54,58,61,112,122,142,158,168],"most":[22],"common":[23],"DNN":[24],"techniques":[28],"is":[29,53,60,70,77,87],"to":[30,49,91,94,138,164],"use":[31],"low-rank":[32],"matrix":[33,145],"approximation.":[34],"Although":[35],"it":[36],"can":[37,153],"reduce":[38],"significant":[40],"number":[41],"parameters,":[44],"there":[45],"are":[46],"two":[47],"problems":[48],"be":[50,154],"considered;":[51],"one":[52],"performance":[55],"degradation,":[56],"and":[57,73,84,134,160],"other":[59],"appropriate":[62],"rank":[63],"selection.":[64],"To":[65],"solve":[66],"these":[67,96],"problems,":[68,97],"retraining":[69,80],"carried":[71],"out,":[72],"so-called":[74],"explained":[75,85],"variance":[76,86],"used.":[78],"However,":[79],"takes":[81],"additional":[82],"time,":[83],"not":[88],"directly":[89],"related":[90],"classification":[92,116],"performance.Therefore,":[93],"mitigate":[95],"approach":[101],"that":[102],"performs":[103],"simultaneously":[107],"during":[108],"training":[110],"from":[111],"aspect":[113],"minimizing":[115],"error.":[117],"The":[118],"proposed":[119],"method":[120],"uses":[121],"product":[123],"three":[125],"factorized":[126],"matrices":[127],"instead":[128],"dense":[131],"weight":[132],"matrix,":[133],"applies":[135],"sparsity":[136],"constraint":[137],"make":[139],"entries":[140,166],"center":[143,169],"diagonal":[144,170],"zero.":[146],"After":[147],"finishing":[148],"training,":[149],"parameter-reduced":[151],"obtained":[155],"by":[156],"discarding":[157],"left":[159],"right":[161],"vectors":[162],"corresponding":[163],"zero":[165],"within":[167],"matrix.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
