{"id":"https://openalex.org/W2972280208","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023094","title":"Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope","display_name":"Real-time and interactive tools for vocal training based on an analytic signal with a cosine series envelope","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2972280208","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023094","mag":"2972280208"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1909.03650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072749858","display_name":"Hideki Kawahara","orcid":"https://orcid.org/0000-0001-9360-5700"},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideki Kawahara","raw_affiliation_strings":["Wakayama University, Wakayama, Japan"],"affiliations":[{"raw_affiliation_string":"Wakayama University, Wakayama, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112080156","display_name":"Ken\u2010Ichi Sakakibara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ken-Ichi Sakakibara","raw_affiliation_strings":["Health Science University of Hokkaido, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Health Science University of Hokkaido, Sapporo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071297020","display_name":"Eri Haneishi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154784","display_name":"Showa University of Music","ror":"https://ror.org/053gs7z03","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210154784"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eri Haneishi","raw_affiliation_strings":["Showa University of Music, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Showa University of Music, Kawasaki, Japan","institution_ids":["https://openalex.org/I4210154784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020822254","display_name":"Kaori Hagiwara","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154784","display_name":"Showa University of Music","ror":"https://ror.org/053gs7z03","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210154784"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaori Hagiwara","raw_affiliation_strings":["Showa University of Music, Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"Showa University of Music, Kawasaki, Japan","institution_ids":["https://openalex.org/I4210154784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072749858"],"corresponding_institution_ids":["https://openalex.org/I75198481"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09049304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"907","last_page":"910"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.817101776599884},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.5465712547302246},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4880880117416382},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4874303638935089},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48001378774642944},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.4546353220939636},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4523218870162964},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.44514697790145874},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44135037064552307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33857735991477966},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.33487701416015625},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1373485028743744}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.817101776599884},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.5465712547302246},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4880880117416382},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4874303638935089},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48001378774642944},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.4546353220939636},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4523218870162964},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.44514697790145874},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44135037064552307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33857735991477966},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.33487701416015625},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1373485028743744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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":2,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1909.03650","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03650","pdf_url":"https://arxiv.org/pdf/1909.03650","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1909.03650","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1909.03650","pdf_url":"https://arxiv.org/pdf/1909.03650","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W849075951","https://openalex.org/W1541019354","https://openalex.org/W2074875921","https://openalex.org/W2103850068","https://openalex.org/W2104567923","https://openalex.org/W2111460811","https://openalex.org/W2160502247","https://openalex.org/W2556247670","https://openalex.org/W2584839466","https://openalex.org/W2593401739","https://openalex.org/W2810958285","https://openalex.org/W2921233095","https://openalex.org/W4235716345","https://openalex.org/W6733591443"],"related_works":["https://openalex.org/W4387426029","https://openalex.org/W4254162896","https://openalex.org/W4388792380","https://openalex.org/W1477999932","https://openalex.org/W4386731653","https://openalex.org/W2376001620","https://openalex.org/W2925303117","https://openalex.org/W3167529338","https://openalex.org/W4285219045","https://openalex.org/W2072343831"],"abstract_inverted_index":{"We":[0,45],"introduce":[1],"real-time":[2,20],"and":[3,76],"interactive":[4],"tools":[5,49,72],"for":[6,41,53],"assisting":[7,54],"vocal":[8,51],"training.":[9],"In":[10],"this":[11],"presentation,":[12],"we":[13],"demonstrate":[14],"mainly":[15],"a":[16],"tool":[17],"based":[18],"on":[19],"visualizer":[21,33],"of":[22,60,70],"fundamental":[23],"frequency":[24],"candidates":[25],"to":[26,30,56],"provide":[27],"information-rich":[28],"feedback":[29],"learners.":[31],"The":[32,63,74],"uses":[34],"an":[35],"efficient":[36],"algorithm":[37],"using":[38,47],"analytic":[39],"signals":[40],"deriving":[42],"phase-based":[43],"attributes.":[44],"start":[46],"these":[48],"in":[50,82],"training":[52],"learners":[55],"acquire":[57],"the":[58,67,71,83],"awareness":[59],"appropriate":[61],"vocalization.":[62],"first":[64,84],"author":[65],"made":[66],"MATLAB":[68],"implementation":[69],"open-source.":[73],"code":[75],"associated":[77],"video":[78],"materials":[79],"are":[80],"accessible":[81],"author's":[85],"GitHub":[86],"repository.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}