{"id":"https://openalex.org/W2165618029","doi":"https://doi.org/10.1109/slt.2008.4777831","title":"Vowel-based frequency alignment function design and recognition-based time alignment for automatic speech morphing","display_name":"Vowel-based frequency alignment function design and recognition-based time alignment for automatic speech morphing","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2165618029","doi":"https://doi.org/10.1109/slt.2008.4777831","mag":"2165618029"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2008.4777831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2008.4777831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Spoken Language Technology Workshop","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052647800","display_name":"Masato Onishi","orcid":null},"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":false,"raw_author_name":"Masato Onishi","raw_affiliation_strings":["Faculty of System Engineering, Wakayama University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of System Engineering, Wakayama University, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065967819","display_name":"T\u00f4ru Takahashi","orcid":"https://orcid.org/0000-0002-8476-9751"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Takahashi","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078342732","display_name":"Toshio Irino","orcid":"https://orcid.org/0000-0002-7691-4189"},"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":false,"raw_author_name":"Toshio Irino","raw_affiliation_strings":["Faculty of System Engineering, Wakayama University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of System Engineering, Wakayama University, Japan","institution_ids":["https://openalex.org/I75198481"]}]},{"author_position":"last","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":false,"raw_author_name":"Hideki Kawahara","raw_affiliation_strings":["Faculty of System Engineering, Wakayama University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of System Engineering, Wakayama University, Japan","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3164,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5274004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":null,"first_page":"25","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.8414400815963745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496564388275146},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.7107270956039429},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6499375700950623},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.5867249369621277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4844944179058075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42512503266334534}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.8414400815963745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496564388275146},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.7107270956039429},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6499375700950623},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.5867249369621277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4844944179058075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42512503266334534},{"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/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/slt.2008.4777831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2008.4777831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Spoken Language Technology Workshop","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":11,"referenced_works":["https://openalex.org/W1502984613","https://openalex.org/W2040492425","https://openalex.org/W2049686551","https://openalex.org/W2129343891","https://openalex.org/W2135934764","https://openalex.org/W2148154194","https://openalex.org/W2152205330","https://openalex.org/W2346414298","https://openalex.org/W2917121818","https://openalex.org/W6630257147","https://openalex.org/W6704677304"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W1679315481","https://openalex.org/W3151495635","https://openalex.org/W4385170164","https://openalex.org/W172797710","https://openalex.org/W4236870338","https://openalex.org/W2016917053","https://openalex.org/W3165080709","https://openalex.org/W2945105049","https://openalex.org/W1580681114"],"abstract_inverted_index":{"New":[0],"design":[1,46],"procedures":[2],"of":[3,26,80],"time-frequency":[4],"alignment":[5,14,28,49,91],"for":[6],"automatic":[7],"speech":[8,40],"morphing":[9],"are":[10],"proposed.":[11],"The":[12,83],"frequency":[13,90,100],"function":[15],"at":[16],"a":[17,23,47],"specific":[18],"frame":[19],"is":[20],"represented":[21],"as":[22],"weighted":[24],"average":[25],"vowel":[27],"functions":[29],"based":[30],"on":[31],"similarity":[32],"to":[33,45,57,73],"each":[34],"vowel.":[35],"Julian,":[36],"an":[37],"open":[38],"source":[39],"recognition":[41],"system,":[42],"was":[43],"used":[44],"time":[48,81],"function.":[50],"Objective":[51],"and":[52,62],"subjective":[53],"tests":[54],"were":[55],"conducted":[56],"evaluate":[58],"the":[59,67,74,88],"proposed":[60,68,89],"method,":[61],"test":[63],"results":[64,84],"indicated":[65],"that":[66,87],"method":[69],"yields":[70],"comparable":[71],"naturalness":[72,95],"manually":[75],"morphed":[76,97],"samples":[77,98],"in":[78],"terms":[79],"alignment.":[82,101],"also":[85],"illustrated":[86],"provides":[92],"significantly":[93],"better":[94],"than":[96],"without":[99]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}