{"id":"https://openalex.org/W3009467111","doi":"https://doi.org/10.1109/gcce46687.2019.9015329","title":"Comparison of the number of training data for Pix2Pix voice conversion system","display_name":"Comparison of the number of training data for Pix2Pix voice conversion system","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3009467111","doi":"https://doi.org/10.1109/gcce46687.2019.9015329","mag":"3009467111"},"language":"en","primary_location":{"id":"doi:10.1109/gcce46687.2019.9015329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","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/A5091499365","display_name":"Hirokazu Akadomari","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hirokazu Akadomari","raw_affiliation_strings":["Muroran Institute of Technology, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Hokkaido, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113914916","display_name":"Yuhi Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuhi Sato","raw_affiliation_strings":["Muroran Institute of Technology, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Hokkaido, Japan","institution_ids":["https://openalex.org/I41725924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073066693","display_name":"Yosuke Kobayashi","orcid":"https://orcid.org/0000-0003-3959-4347"},"institutions":[{"id":"https://openalex.org/I41725924","display_name":"Muroran Institute of Technology","ror":"https://ror.org/04rymkk69","country_code":"JP","type":"education","lineage":["https://openalex.org/I41725924"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Kobayashi","raw_affiliation_strings":["Muroran Institute of Technology, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Muroran Institute of Technology, Hokkaido, Japan","institution_ids":["https://openalex.org/I41725924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091499365"],"corresponding_institution_ids":["https://openalex.org/I41725924"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20096678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"840","last_page":"841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9965000152587891,"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":0.9965000152587891,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.961899995803833,"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/spectrogram","display_name":"Spectrogram","score":0.7478401064872742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7228825092315674},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6091429591178894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49566686153411865},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.48417168855667114},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.47919759154319763},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43876898288726807},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42040228843688965}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7478401064872742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7228825092315674},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6091429591178894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49566686153411865},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.48417168855667114},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47919759154319763},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43876898288726807},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42040228843688965},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce46687.2019.9015329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce46687.2019.9015329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2099471712","https://openalex.org/W2471520273","https://openalex.org/W2519648275","https://openalex.org/W2780580785","https://openalex.org/W2899673909","https://openalex.org/W2904141985","https://openalex.org/W2963073614","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W4394050964","https://openalex.org/W2551249631","https://openalex.org/W3000197790"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,45],"aimed":[4],"to":[5,11,29,52],"use":[6],"a":[7,40,63,69,85],"voice":[8,33,64],"conversion":[9,34,65],"system":[10],"improve":[12],"broadcast":[13],"over":[14],"an":[15,56],"outdoor":[16],"public":[17],"address":[18],"system,":[19],"and":[20,67,96],"evaluated":[21],"the":[22,47,87,97],"optimum":[23],"number":[24,48],"of":[25,49],"training":[26],"data":[27],"according":[28],"subjective":[30,75],"evaluation":[31,76],"by":[32],"using":[35,77],"Pix2Pix":[36],"image":[37],"generation":[38],"with":[39],"generative":[41],"adversarial":[42],"network.":[43],"Accordingly,":[44],"compared":[46],"spoken":[50,94],"sentences":[51,103],"be":[53],"trained":[54],"in":[55,62,68,81],"acoustic":[57,88],"features":[58,89],"convert":[59,72,90],"model":[60,91,100,105],"used":[61],"model,":[66,73],"high-resolution":[70,98],"spectrum":[71],"through":[74],"mean":[78],"opinion":[79],"score":[80],"multiple":[82],"patterns.":[83],"As":[84],"results,":[86],"requires":[92,101],"150":[93],"sentences,":[95],"spectrogram":[99],"750":[102],"for":[104],"training.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
