{"id":"https://openalex.org/W3108666850","doi":"https://doi.org/10.1587/transinf.2020edp7078","title":"Loss Function Considering Multiple Attributes of a Temporal Sequence for Feed-Forward Neural Networks","display_name":"Loss Function Considering Multiple Attributes of a Temporal Sequence for Feed-Forward Neural Networks","publication_year":2020,"publication_date":"2020-11-30","ids":{"openalex":"https://openalex.org/W3108666850","doi":"https://doi.org/10.1587/transinf.2020edp7078","mag":"3108666850"},"language":"en","primary_location":{"id":"doi:10.1587/transinf.2020edp7078","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7078","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020EDP7078/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020EDP7078/_pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034982023","display_name":"Noriyuki Matsunaga","orcid":null},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Noriyuki MATSUNAGA","raw_affiliation_strings":["Graduate School of Engineering, Toyama Prefectural University","R&D group, AI, Inc"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyama Prefectural University","institution_ids":["https://openalex.org/I63216439"]},{"raw_affiliation_string":"R&D group, AI, Inc","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018533235","display_name":"Yamato Ohtani","orcid":"https://orcid.org/0009-0009-2961-2821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yamato OHTANI","raw_affiliation_strings":["R&D group, AI, Inc"],"affiliations":[{"raw_affiliation_string":"R&D group, AI, Inc","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046425707","display_name":"Tatsuya Hirahara","orcid":null},"institutions":[{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuya HIRAHARA","raw_affiliation_strings":["Graduate School of Engineering, Toyama Prefectural University"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Toyama Prefectural University","institution_ids":["https://openalex.org/I63216439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034982023"],"corresponding_institution_ids":["https://openalex.org/I63216439"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15821903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"E103.D","issue":"12","first_page":"2659","last_page":"2672"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9983000159263611,"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":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.836712658405304},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.6768975257873535},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6001572608947754},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5671856999397278},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5637211203575134},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5255005359649658},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4741772413253784},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4575866460800171},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.45507562160491943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40090006589889526},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36750921607017517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32947367429733276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.836712658405304},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.6768975257873535},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6001572608947754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5671856999397278},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5637211203575134},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5255005359649658},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4741772413253784},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4575866460800171},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.45507562160491943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40090006589889526},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36750921607017517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32947367429733276},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1587/transinf.2020edp7078","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7078","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020EDP7078/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1587/transinf.2020edp7078","is_oa":true,"landing_page_url":"https://doi.org/10.1587/transinf.2020edp7078","pdf_url":"https://www.jstage.jst.go.jp/article/transinf/E103.D/12/E103.D_2020EDP7078/_pdf","source":{"id":"https://openalex.org/S2486202937","display_name":"IEICE Transactions on Information and Systems","issn_l":"0916-8532","issn":["0916-8532","1745-1361"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4320800604","host_organization_name":"Institute of Electronics, Information and Communication Engineers","host_organization_lineage":["https://openalex.org/P4320800604"],"host_organization_lineage_names":["Institute of Electronics, Information and Communication Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEICE Transactions on Information and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3108666850.pdf","grobid_xml":"https://content.openalex.org/works/W3108666850.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1514737389","https://openalex.org/W1522301498","https://openalex.org/W1576227399","https://openalex.org/W1665214252","https://openalex.org/W1992228106","https://openalex.org/W2077446647","https://openalex.org/W2102003408","https://openalex.org/W2111284386","https://openalex.org/W2293049663","https://openalex.org/W2395700867","https://openalex.org/W2403471241","https://openalex.org/W2406654659","https://openalex.org/W2471520273","https://openalex.org/W2598638573","https://openalex.org/W2949382160","https://openalex.org/W2963300588","https://openalex.org/W2963971656","https://openalex.org/W2972574864","https://openalex.org/W2972792599","https://openalex.org/W4251158933"],"related_works":["https://openalex.org/W2136559180","https://openalex.org/W3142820373","https://openalex.org/W2380536744","https://openalex.org/W1679636228","https://openalex.org/W879529032","https://openalex.org/W2283242923","https://openalex.org/W1967605906","https://openalex.org/W2742399401","https://openalex.org/W2329734087","https://openalex.org/W3015193452"],"abstract_inverted_index":{"Deep":[0],"neural":[1,73,108],"network":[2],"(DNN)-based":[3],"speech":[4,46,68,90,118,172,225],"synthesis":[5],"became":[6],"popular":[7],"in":[8,19,34],"recent":[9],"years":[10],"and":[11,22,189,197,200,203,233],"is":[12,38,57],"expected":[13],"to":[14,39,102,134,143,170,223,234,239],"soon":[15],"be":[16],"widely":[17],"used":[18,65],"embedded":[20],"devices":[21],"environments":[23,37],"with":[24,76,193],"limited":[25],"computing":[26,36],"resources.":[27],"The":[28,211],"key":[29],"intention":[30],"of":[31,44,88,117,155,158],"these":[32,209],"systems":[33],"poor":[35],"reduce":[40],"the":[41,82,85,89,103,110,115,126,130,148,153,159,163,181,185,190,206,230,242],"computational":[42,55,99,131],"cost":[43,100,132],"generating":[45],"parameter":[47,69,79,91,119,173,226],"sequences":[48,92,120,174,227,236],"while":[49,121],"maintaining":[50],"voice":[51],"quality.":[52],"However,":[53],"reducing":[54],"costs":[56],"challenging":[58],"for":[59,66,114,141],"two":[60],"primary":[61],"conventional":[62,198,243],"DNN-based":[63],"methods":[64],"modeling":[67],"sequences.":[70,210],"In":[71,106],"feed-forward":[72],"networks":[74],"(FFNNs)":[75],"maximum":[77],"likelihood":[78],"generation":[80,116],"(MLPG),":[81],"MLPG":[83],"reconstructs":[84],"temporal":[86,123,149,160,178,231],"structure":[87,112,150,179,232],"ignored":[93],"by":[94,151,175,228],"FFNNs":[95,169,216],"but":[96,128],"requires":[97],"additional":[98],"according":[101],"sequence":[104,161,188,192],"length.":[105],"recurrent":[107],"networks,":[109],"recursive":[111],"allows":[113],"considering":[122,176,229],"structures":[124],"without":[125,180],"MLPG,":[127],"increases":[129],"compared":[133],"FFNNs.":[135],"We":[136,183],"propose":[137],"a":[138,220],"new":[139],"approach":[140],"DNNs":[142],"acquire":[144],"parameters":[145],"captured":[146],"from":[147,208,241],"backpropagating":[152],"errors":[154],"multiple":[156],"attributes":[157],"via":[162],"loss":[164],"function.":[165],"This":[166],"method":[167,196,213],"enables":[168,214],"generate":[171,224,235],"their":[177],"MLPG.":[182],"generated":[184],"fundamental":[186],"frequency":[187],"mel-cepstrum":[191],"our":[194],"proposed":[195,212],"methods,":[199],"then":[201],"synthesized":[202],"subjectively":[204],"evaluated":[205],"speeches":[207],"even":[215],"that":[217],"work":[218],"on":[219],"frame-by-frame":[221],"basis":[222],"perceptually":[237],"superior":[238],"those":[240],"methods.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}