{"id":"https://openalex.org/W2786561001","doi":"https://doi.org/10.1109/apsipa.2017.8282286","title":"A novel filtering-based F<inf>0</inf> estimation algorithm with an application to voice conversion","display_name":"A novel filtering-based F<inf>0</inf> estimation algorithm with an application to voice conversion","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786561001","doi":"https://doi.org/10.1109/apsipa.2017.8282286","mag":"2786561001"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5091143209","display_name":"Nirmesh J. Shah","orcid":"https://orcid.org/0000-0002-7294-6757"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nirmesh J. Shah","raw_affiliation_strings":["DA-IICT, Speech Research Lab, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DA-IICT, Speech Research Lab, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018297501","display_name":"Pramod Bachhav","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pramod B. Bachhav","raw_affiliation_strings":["EURECOM, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EURECOM, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043002276","display_name":"Hemant A. Patil","orcid":"https://orcid.org/0000-0002-4068-2005"},"institutions":[{"id":"https://openalex.org/I98389781","display_name":"Dhirubhai Ambani University","ror":"https://ror.org/02d5b7g69","country_code":"IN","type":"education","lineage":["https://openalex.org/I98389781"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hemant A. Patil","raw_affiliation_strings":["DA-IICT, Speech Research Lab, Gandhinagar, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DA-IICT, Speech Research Lab, Gandhinagar, India","institution_ids":["https://openalex.org/I98389781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1384,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47714326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"94","issue":null,"first_page":"1528","last_page":"1531"},"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":0.9997000098228455,"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/T10403","display_name":"Phonetics and Phonology Research","score":0.9973999857902527,"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/algorithm","display_name":"Algorithm","score":0.6363058686256409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5266744494438171},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3877030313014984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3791603744029999}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6363058686256409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5266744494438171},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3877030313014984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3791603744029999}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2017.8282286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W23669922","https://openalex.org/W95152782","https://openalex.org/W1598025989","https://openalex.org/W2013198478","https://openalex.org/W2049686551","https://openalex.org/W2050693797","https://openalex.org/W2096429026","https://openalex.org/W2100819376","https://openalex.org/W2103075368","https://openalex.org/W2103172976","https://openalex.org/W2107451257","https://openalex.org/W2120605154","https://openalex.org/W2131864930","https://openalex.org/W2145892079","https://openalex.org/W2296704011","https://openalex.org/W2526493173","https://openalex.org/W2699202114","https://openalex.org/W2766990599","https://openalex.org/W2963879839","https://openalex.org/W6600956376","https://openalex.org/W6603838645","https://openalex.org/W6697285287","https://openalex.org/W6745462130","https://openalex.org/W7062720409"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"We":[0,42],"propose":[1],"a":[2,34],"novel":[3,47],"F0estimation":[4,89],"algorithm":[5,90,150],"that":[6,30],"initially":[7],"estimates":[8],"the":[9,19,28,54,60,70,79,85,122,125,134,147,152,163],"glottal":[10],"closure":[11],"instants":[12],"(GCIs)":[13],"or":[14],"pitch":[15],"and":[16,73,105,114,159,178],"then":[17],"computes":[18],"corresponding":[20],"fundamental":[21],"frequency":[22],"(F0).":[23],"The":[24,157],"proposed":[25,46,55,88],"method":[26,56],"eliminates":[27],"assumption":[29],"F0is":[31],"constant":[32],"over":[33],"segment":[35],"of":[36,81,87,110,124,131,136,154,162],"short":[37],"duration":[38],"(i.e.,":[39],"20-30":[40],"ms).":[41],"use":[43],"our":[44],"previously":[45],"filtering-based":[48],"approach":[49],"for":[50,99],"GCI":[51],"estimation.":[52],"As":[53],"directly":[57],"operates":[58],"on":[59],"entire":[61],"speech":[62],"signal,":[63],"it":[64,75],"does":[65],"not":[66],"require":[67],"to":[68],"set":[69],"window":[71],"length":[72],"thus,":[74],"is":[76,119],"free":[77],"from":[78],"problem":[80],"spectral":[82],"leakage.":[83],"Measuring":[84],"effectiveness":[86,148],"w.r.t.":[91],"three":[92],"state-of-the-art":[93],"methods,":[94],"namely,":[95,173],"Yet":[96],"Another":[97],"Algorithm":[98,117],"Pitch":[100,115],"tracking":[101],"(YAAPT),":[102],"Speech":[103],"Transformation":[104],"Representation":[106],"using":[107,169],"Adaptive":[108],"Interpolation":[109],"weiGHT":[111],"spectrum":[112],"(STRAIGHT)":[113],"Detection":[116],"(PDA),":[118],"challenging":[120],"in":[121,139,151],"absence":[123],"ground":[126],"truth.":[127],"Since":[128],"accurate":[129],"estimation":[130],"Fowill":[132],"impact":[133],"quality":[135,158],"converted":[137,164],"voice":[138,165],"Voice":[140],"Conversion":[141],"(VC)":[142],"task.":[143,156],"Hence,":[144],"we":[145],"measure":[146],"Foestimation":[149],"application":[153],"VC":[155],"speaker":[160],"similarity":[161],"have":[166],"been":[167],"evaluated":[168],"two":[170],"subjective":[171],"measures,":[172],"Mean":[174],"Opinion":[175],"Scores":[176],"(MOS)":[177],"ABX":[179],"test,":[180],"respectively.":[181]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}