{"id":"https://openalex.org/W3211877773","doi":"https://doi.org/10.1109/iecon48115.2021.9589152","title":"On an improved F0estimation based on \u21132-norm regularized TV-CAR speech analysis using pre-filter","display_name":"On an improved F0estimation based on \u21132-norm regularized TV-CAR speech analysis using pre-filter","publication_year":2021,"publication_date":"2021-10-13","ids":{"openalex":"https://openalex.org/W3211877773","doi":"https://doi.org/10.1109/iecon48115.2021.9589152","mag":"3211877773"},"language":"en","primary_location":{"id":"doi:10.1109/iecon48115.2021.9589152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","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/A5113486157","display_name":"Keiichi Funaki","orcid":null},"institutions":[{"id":"https://openalex.org/I32915989","display_name":"University of the Ryukyus","ror":"https://ror.org/02z1n9q24","country_code":"JP","type":"education","lineage":["https://openalex.org/I32915989"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiichi Funaki","raw_affiliation_strings":["IT Center, University of the Ryukyus, Nishihara, Okinawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IT Center, University of the Ryukyus, Nishihara, Okinawa, Japan","institution_ids":["https://openalex.org/I32915989"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113486157"],"corresponding_institution_ids":["https://openalex.org/I32915989"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1423221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"e85 a","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5547969341278076},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5305039882659912},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5076240301132202},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4839223027229309},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.44201451539993286},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43406322598457336},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.41638779640197754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.348419725894928},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.16074120998382568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11849084496498108}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5547969341278076},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5305039882659912},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5076240301132202},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4839223027229309},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.44201451539993286},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43406322598457336},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.41638779640197754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.348419725894928},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.16074120998382568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11849084496498108},{"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon48115.2021.9589152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon48115.2021.9589152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2021 \u2013 47th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W23669922","https://openalex.org/W56588456","https://openalex.org/W138039923","https://openalex.org/W173679537","https://openalex.org/W1485794641","https://openalex.org/W1490358529","https://openalex.org/W1511591715","https://openalex.org/W1596892211","https://openalex.org/W1966264494","https://openalex.org/W1991949147","https://openalex.org/W1995319862","https://openalex.org/W1995536493","https://openalex.org/W2098488280","https://openalex.org/W2107992675","https://openalex.org/W2126829180","https://openalex.org/W2137213227","https://openalex.org/W2149846618","https://openalex.org/W2213300207","https://openalex.org/W2272061020","https://openalex.org/W2519091744","https://openalex.org/W2889528406","https://openalex.org/W2890983311","https://openalex.org/W2898322826","https://openalex.org/W2902681596","https://openalex.org/W2907162034","https://openalex.org/W2929299742","https://openalex.org/W2949382160","https://openalex.org/W2963091184","https://openalex.org/W2963589210","https://openalex.org/W2984862052","https://openalex.org/W2989492704","https://openalex.org/W2993229479","https://openalex.org/W3132156926","https://openalex.org/W3152376420","https://openalex.org/W6602346962","https://openalex.org/W6605613713","https://openalex.org/W6607015411","https://openalex.org/W6629245284","https://openalex.org/W6630830224","https://openalex.org/W6649113906","https://openalex.org/W6678701371","https://openalex.org/W6680377125","https://openalex.org/W6756686980","https://openalex.org/W6790800800","https://openalex.org/W7024761944"],"related_works":["https://openalex.org/W4254199101","https://openalex.org/W4300427796","https://openalex.org/W1670153145","https://openalex.org/W2051864124","https://openalex.org/W3023929447","https://openalex.org/W2021131614","https://openalex.org/W2364847665","https://openalex.org/W4236907339","https://openalex.org/W2005361022","https://openalex.org/W3197369561"],"abstract_inverted_index":{"LP":[0],"(Linear":[1],"Prediction)":[2],"analysis":[3,12,25,43],"is":[4],"the":[5,32,35,79,84,99],"most":[6],"commonly":[7],"used":[8],"and":[9,51,58,62,97],"successful":[10],"speech":[11,24],"implemented":[13],"in":[14,49],"smartphones.":[15],"We":[16],"have":[17,64],"been":[18],"proposing":[19],"time-varying":[20],"complex":[21,81],"AR":[22],"(TV-CAR)":[23],"for":[26,70,78],"an":[27,89],"analytic":[28],"signal":[29],"to":[30],"solve":[31],"shortcomings":[33],"of":[34],"LP.":[36],"Recently,":[37],"we":[38,63],"proposed":[39],"\u21132-norm":[40],"regularization":[41],"TV-CAR":[42],"that":[44],"penalizes":[45],"rapid":[46],"spectral":[47],"changes":[48],"time-domain":[50],"frequency-domain,":[52],"called":[53],"hybrid":[54],"RLP":[55],"(Regularized":[56],"LP)":[57],"TRLP":[59],"(Time-RLP)":[60],"method,":[61],"already":[65],"evaluated":[66],"performance":[67],"using":[68],"F0estimation":[69,91],"noise":[71],"corrupted":[72],"speech.":[73],"The":[74],"IRAPT":[75],"(Instantaneous":[76],"RAPT)":[77],"estimated":[80],"residual":[82],"realizes":[83],"F0estimation.":[85],"This":[86],"paper":[87],"proposes":[88],"improved":[90],"introducing":[92],"a":[93],"pre-filter":[94],"as":[95],"pre-processing":[96],"evaluates":[98],"performance.":[100]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}