{"id":"https://openalex.org/W4416798707","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249419","title":"GCI Detection and Glottal Wave Estimation based on TV-CAR Speech Analysis","display_name":"GCI Detection and Glottal Wave Estimation based on TV-CAR Speech Analysis","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W4416798707","doi":"https://doi.org/10.1109/apsipaasc65261.2025.11249419"},"language":null,"primary_location":{"id":"doi:10.1109/apsipaasc65261.2025.11249419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5113486157","display_name":"Keiichi Funaki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155580","display_name":"University of the Ryukyus University Hospital","ror":"https://ror.org/05rzmnp25","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210155580"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keiichi Funaki","raw_affiliation_strings":["University of the Ryukyus"],"affiliations":[{"raw_affiliation_string":"University of the Ryukyus","institution_ids":["https://openalex.org/I4210155580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113486157"],"corresponding_institution_ids":["https://openalex.org/I4210155580"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48393764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1062","last_page":"1067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9135000109672546,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10863","display_name":"Voice and Speech Disorders","score":0.9135000109672546,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.05270000174641609,"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":0.01730000041425228,"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/vocal-tract","display_name":"Vocal tract","score":0.7732999920845032},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6640999913215637},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.5497000217437744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.435699999332428},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.41130000352859497},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.3772999942302704},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.3756999969482422},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.35260000824928284}],"concepts":[{"id":"https://openalex.org/C47401133","wikidata":"https://www.wikidata.org/wiki/Q748953","display_name":"Vocal tract","level":2,"score":0.7732999920845032},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7549999952316284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974999904632568},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6640999913215637},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.5497000217437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.41130000352859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3953000009059906},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.3756999969482422},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C59883199","wikidata":"https://www.wikidata.org/wiki/Q1826438","display_name":"Linear predictive coding","level":3,"score":0.32339999079704285},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.32280001044273376},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.25380000472068787},{"id":"https://openalex.org/C43617652","wikidata":"https://www.wikidata.org/wiki/Q7575399","display_name":"Speech production","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc65261.2025.11249419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc65261.2025.11249419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":19,"referenced_works":["https://openalex.org/W55246122","https://openalex.org/W78415016","https://openalex.org/W138039923","https://openalex.org/W179781080","https://openalex.org/W195574511","https://openalex.org/W1968110980","https://openalex.org/W2021320575","https://openalex.org/W2038594224","https://openalex.org/W2068334440","https://openalex.org/W2117946322","https://openalex.org/W2132290247","https://openalex.org/W2139027945","https://openalex.org/W2155295839","https://openalex.org/W2166238116","https://openalex.org/W2169721396","https://openalex.org/W2213300207","https://openalex.org/W2989492704","https://openalex.org/W2993229479","https://openalex.org/W3207809476"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"detection":[1,90],"of":[2,64],"Glottal":[3],"Closure":[4],"Instances":[5],"(GCIs)":[6],"is":[7],"crucial":[8],"for":[9,97],"speech":[10],"processing":[11],"applications.":[12],"The":[13],"SEDREAMS":[14,86],"method":[15,104],"detects":[16],"GCIs":[17],"by":[18,72],"identifying":[19],"peaks":[20],"in":[21,45],"LPC":[22,32,52],"residual":[23,53],"within":[24],"candidate":[25],"intervals":[26],"determined":[27],"from":[28,40,58],"mean-based":[29],"signals.":[30,66],"However,":[31],"analysis":[33,63],"may":[34],"not":[35],"adequately":[36],"separate":[37],"glottal":[38],"excitation":[39],"vocal":[41],"tract":[42],"characteristics,":[43],"especially":[44],"low":[46],"frequencies.":[47],"This":[48,100],"paper":[49,101],"proposes":[50,102],"replacing":[51],"signals":[54],"with":[55],"complex":[56],"ones":[57],"Time-Varying":[59],"Complex":[60],"AR":[61],"(TVCAR)":[62],"analytic":[65],"TV-CAR":[67,111],"provides":[68],"improved":[69],"low-frequency":[70],"estimation":[71],"eliminating":[73],"negative":[74],"frequency":[75],"components.":[76],"Experiments":[77],"on":[78],"the":[79,107,110],"CMU":[80],"Arctic":[81],"database":[82],"demonstrate":[83],"that":[84],"TV-CAR-based":[85],"achieves":[87],"better":[88],"identification":[89],"rates":[91],"than":[92],"conventional":[93],"LPC-based":[94],"methods,":[95],"particularly":[96],"male":[98],"speakers.":[99],"a":[103],"to":[105],"estimate":[106],"GCI":[108],"using":[109],"method.":[112]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}
