{"id":"https://openalex.org/W2513256765","doi":"https://doi.org/10.21437/ssw.2016-27","title":"Investigating Very Deep Highway Networks for Parametric Speech Synthesis","display_name":"Investigating Very Deep Highway Networks for Parametric Speech Synthesis","publication_year":2016,"publication_date":"2016-09-13","ids":{"openalex":"https://openalex.org/W2513256765","doi":"https://doi.org/10.21437/ssw.2016-27","mag":"2513256765"},"language":"en","primary_location":{"id":"doi:10.21437/ssw.2016-27","is_oa":false,"landing_page_url":"https://doi.org/10.21437/ssw.2016-27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th ISCA Workshop on Speech Synthesis Workshop (SSW 9)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/89d89e7d-f8c6-4d35-b3f0-16e5dafe509d","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091830806","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-9044-1402"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I113766436","display_name":"Surugadai University","ror":"https://ror.org/00c4wmy51","country_code":"JP","type":"education","lineage":["https://openalex.org/I113766436"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xin Wang","raw_affiliation_strings":["SOKENDAI University, Japan","National Institute of Informatics, Japan"],"affiliations":[{"raw_affiliation_string":"SOKENDAI University, Japan","institution_ids":["https://openalex.org/I113766436","https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062895056","display_name":"Shinji Takaki","orcid":"https://orcid.org/0000-0001-7294-7699"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinji Takaki","raw_affiliation_strings":["National Institute of Informatics, Japan"],"affiliations":[{"raw_affiliation_string":"National Institute of Informatics, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007639385","display_name":"Junichi Yamagishi","orcid":"https://orcid.org/0000-0003-2752-3955"},"institutions":[{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"id":"https://openalex.org/I113766436","display_name":"Surugadai University","ror":"https://ror.org/00c4wmy51","country_code":"JP","type":"education","lineage":["https://openalex.org/I113766436"]},{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["GB","JP"],"is_corresponding":false,"raw_author_name":"Junichi Yamagishi","raw_affiliation_strings":["University of Edinburgh, UK","SOKENDAI University, Japan","National Institute of Informatics, Japan"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"SOKENDAI University, Japan","institution_ids":["https://openalex.org/I113766436","https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091830806"],"corresponding_institution_ids":["https://openalex.org/I113766436","https://openalex.org/I184597095","https://openalex.org/I200475212"],"apc_list":null,"apc_paid":null,"fwci":3.1038,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93094185,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"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":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music 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/computer-science","display_name":"Computer science","score":0.7847699522972107},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5616524815559387},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.5579210519790649},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5222773551940918},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4300258159637451},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41688984632492065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27549752593040466},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23710539937019348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7847699522972107},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5616524815559387},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.5579210519790649},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5222773551940918},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4300258159637451},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41688984632492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27549752593040466},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23710539937019348},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.21437/ssw.2016-27","is_oa":false,"landing_page_url":"https://doi.org/10.21437/ssw.2016-27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"9th ISCA Workshop on Speech Synthesis Workshop (SSW 9)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/89d89e7d-f8c6-4d35-b3f0-16e5dafe509d","is_oa":true,"landing_page_url":"https://www.sciencedirect.com/science/article/pii/S0167639316303703","pdf_url":"https://www.research.ed.ac.uk/en/publications/89d89e7d-f8c6-4d35-b3f0-16e5dafe509d","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:pure.ed.ac.uk:openaire/f9bf7b65-df22-4058-a819-9c8d635f810c","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/f9bf7b65-df22-4058-a819-9c8d635f810c","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wang, X, Takaki, S & Yamagishi, J 2016, Investigating Very Deep Highway Networks for Parametric Speech Synthesis. in 9th ISCA Speech Synthesis Workshop. pp. 166-171, 9th ISCA Speech Synthesis Workshop , Sunnyvale, California, United States, 13/09/16. https://doi.org/10.21437/SSW.2016-27","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/f9bf7b65-df22-4058-a819-9c8d635f810c","is_oa":false,"landing_page_url":"https://www.research.ed.ac.uk/portal/en/publications/investigating-very-deep-highway-networks-for-parametric-speech-synthesis(f9bf7b65-df22-4058-a819-9c8d635f810c).html","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:publications/89d89e7d-f8c6-4d35-b3f0-16e5dafe509d","is_oa":true,"landing_page_url":"https://www.sciencedirect.com/science/article/pii/S0167639316303703","pdf_url":"https://www.research.ed.ac.uk/en/publications/89d89e7d-f8c6-4d35-b3f0-16e5dafe509d","source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},"sustainable_development_goals":[{"score":0.5,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4055593462","display_name":null,"funder_award_id":"EP/I031022/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6082203376","display_name":null,"funder_award_id":"EP/J002526/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320325763","display_name":"Telecommunications Advancement Foundation","ror":"https://ror.org/05y77zf79"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2513256765.pdf","grobid_xml":"https://content.openalex.org/works/W2513256765.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1499332833","https://openalex.org/W1533861849","https://openalex.org/W1990505856","https://openalex.org/W2000633092","https://openalex.org/W2043003570","https://openalex.org/W2049686551","https://openalex.org/W2100495367","https://openalex.org/W2102003408","https://openalex.org/W2111284386","https://openalex.org/W2156387975","https://openalex.org/W2194775991","https://openalex.org/W2291915740","https://openalex.org/W2295676751","https://openalex.org/W2402103843","https://openalex.org/W2964084166","https://openalex.org/W4231109964","https://openalex.org/W4394643672"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2396122647","https://openalex.org/W2391251536","https://openalex.org/W2793058541","https://openalex.org/W2136161268","https://openalex.org/W2362198218","https://openalex.org/W1983629434","https://openalex.org/W1982750869","https://openalex.org/W2019521278"],"abstract_inverted_index":{"The":[0,67],"depth":[1],"of":[2,29,58,105,125,163],"the":[3,26,45,50,56,80,103,130,136,140,150,156,161,169,172],"neural":[4,33],"network":[5,20,24,34,73,90,97,114,143,152,174],"is":[6,79],"a":[7,15,30,41,71,95,111],"vital":[8],"factor":[9],"that":[10,70,139,153,175],"affects":[11],"its":[12],"performance.":[13],"Recently":[14],"new":[16],"architecture":[17],"called":[18],"highway":[19,43,59,72,89,113,117,142,164],"was":[21],"proposed.":[22],"This":[23],"facilitates":[25],"training":[27],"process":[28],"very":[31],"deep":[32],"by":[35],"using":[36],"gate":[37,165],"units":[38,166],"to":[39,63,121,182],"control":[40],"information":[42],"over":[44],"conventional":[46],"hidden":[47,65,100,177],"layer.":[48],"For":[49],"speech":[51,85],"synthesis":[52],"task,":[53],"we":[54,108],"investigate":[55,110],"performance":[57,93],"networks":[60,118],"with":[61,74,98],"up":[62],"40":[64],"layers.":[66,101],"results":[68,148],"suggest":[69,138],"14":[75,99],"non-linear":[76],"transformation":[77],"layers":[78],"best":[81],"choice":[82],"on":[83,160],"our":[84],"corpus":[86],"and":[87,132,185],"this":[88],"achieves":[91],"better":[92,146],"than":[94,149],"feed-forward":[96],"On":[102],"basis":[104],"these":[106],"results,":[107],"further":[109],"multi-stream":[112,141,173],"where":[115],"separate":[116],"are":[119],"used":[120],"predict":[122,183],"different":[123,176],"kinds":[124],"acoustic":[126,157],"features":[127],"such":[128],"as":[129],"spectral":[131,184],"F0":[133,186],"features.":[134,158,187],"Results<br/>of":[135],"experiments":[137],"can":[144],"achieve":[145],"objective":[147],"single":[151],"predicts":[154],"all":[155],"Analysis":[159],"output":[162],"also":[167],"supports":[168],"assumption":[170],"for":[171],"representation":[178],"may":[179],"be":[180],"necessary":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}