{"id":"https://openalex.org/W1609477723","doi":"https://doi.org/10.1109/icacci.2015.7275959","title":"A study of F0 estimation based on RAPT framework using sustained vowel","display_name":"A study of F0 estimation based on RAPT framework using sustained vowel","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1609477723","doi":"https://doi.org/10.1109/icacci.2015.7275959","mag":"1609477723"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5001645624","display_name":"V. Prarthana Karunaimathi","orcid":"https://orcid.org/0000-0002-9500-6602"},"institutions":[{"id":"https://openalex.org/I157674215","display_name":"Presidency University","ror":"https://ror.org/04xgbph11","country_code":"IN","type":"education","lineage":["https://openalex.org/I157674215"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prarthana Karunaimathi V.","raw_affiliation_strings":["Department of Computer Science, Presidency College, Chennai, Tamil Nadu, South India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Presidency College, Chennai, Tamil Nadu, South India","institution_ids":["https://openalex.org/I157674215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035254686","display_name":"D. Gladis","orcid":null},"institutions":[{"id":"https://openalex.org/I157674215","display_name":"Presidency University","ror":"https://ror.org/04xgbph11","country_code":"IN","type":"education","lineage":["https://openalex.org/I157674215"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dennis Gladis","raw_affiliation_strings":["Department of Computer Science, Presidency College, Chennai, Tamil Nadu, South India","Department of Computer Science, Presidency College, Chennai 600005 Tamil Nadu, South India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Presidency College, Chennai, Tamil Nadu, South India","institution_ids":["https://openalex.org/I157674215"]},{"raw_affiliation_string":"Department of Computer Science, Presidency College, Chennai 600005 Tamil Nadu, South India","institution_ids":["https://openalex.org/I157674215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090832436","display_name":"Usha Dalvi","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]},{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Usha Dalvi","raw_affiliation_strings":["Department of Audiology and Speech Language Pathology, SRM University, Tamil Nadu, South India","Department of Audiology and Speech Language Pathology, SRM University, Tamil Nadu South India"],"affiliations":[{"raw_affiliation_string":"Department of Audiology and Speech Language Pathology, SRM University, Tamil Nadu, South India","institution_ids":["https://openalex.org/I4210131147"]},{"raw_affiliation_string":"Department of Audiology and Speech Language Pathology, SRM University, Tamil Nadu South India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001645624"],"corresponding_institution_ids":["https://openalex.org/I157674215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.04057836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"2290","last_page":"2295"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"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":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9993000030517578,"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/T10863","display_name":"Voice and Speech Disorders","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fundamental-frequency","display_name":"Fundamental frequency","score":0.7932875156402588},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6711599826812744},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6662003993988037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6135551929473877},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.6129501461982727},{"id":"https://openalex.org/keywords/vowel","display_name":"Vowel","score":0.5567029714584351},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.5379344820976257},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.5256746411323547},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4275432825088501},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4226461350917816},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3540617823600769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3482205867767334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3297406733036041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26954299211502075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16265010833740234},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15827280282974243},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1486334502696991}],"concepts":[{"id":"https://openalex.org/C10513763","wikidata":"https://www.wikidata.org/wiki/Q1331774","display_name":"Fundamental frequency","level":2,"score":0.7932875156402588},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6711599826812744},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6662003993988037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6135551929473877},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.6129501461982727},{"id":"https://openalex.org/C2779581591","wikidata":"https://www.wikidata.org/wiki/Q36244","display_name":"Vowel","level":2,"score":0.5567029714584351},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.5379344820976257},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5256746411323547},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4275432825088501},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4226461350917816},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3540617823600769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3482205867767334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3297406733036041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26954299211502075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16265010833740234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15827280282974243},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1486334502696991},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317486","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/037skf023"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W185021866","https://openalex.org/W1544215838","https://openalex.org/W1605850812","https://openalex.org/W1971243715","https://openalex.org/W1972818198","https://openalex.org/W1975079546","https://openalex.org/W2016210396","https://openalex.org/W2019977573","https://openalex.org/W2052252043","https://openalex.org/W2063619969","https://openalex.org/W2085628288","https://openalex.org/W2091425152","https://openalex.org/W2107051652","https://openalex.org/W2107831318","https://openalex.org/W2132629105","https://openalex.org/W2138180983","https://openalex.org/W2152865625","https://openalex.org/W2155295839","https://openalex.org/W2397375888","https://openalex.org/W3111605275","https://openalex.org/W3125545892","https://openalex.org/W6607544360","https://openalex.org/W6632860311","https://openalex.org/W6676245417","https://openalex.org/W6679352027"],"related_works":["https://openalex.org/W4321650139","https://openalex.org/W2169275958","https://openalex.org/W2106922074","https://openalex.org/W2917687159","https://openalex.org/W2078307554","https://openalex.org/W2011208577","https://openalex.org/W2416886761","https://openalex.org/W1966724926","https://openalex.org/W1997445471","https://openalex.org/W1993683111"],"abstract_inverted_index":{"Acoustic":[0,12],"analysis":[1],"plays":[2],"a":[3],"vital":[4],"role":[5],"in":[6,42,88],"the":[7,29,35,89,95,116,120,123,127,139,142,148,151,162],"study":[8,111],"of":[9,28,39,47,63,122,141,150,161],"human":[10],"voice.":[11],"parameters":[13,32],"such":[14,50],"as":[15,51,115],"Fundamental":[16],"frequency":[17,91],"(F0)":[18],"can":[19],"be":[20],"derived":[21],"directly":[22],"from":[23],"voices.":[24,64],"It":[25],"is":[26,94,104],"one":[27],"most":[30],"proven":[31],"that":[33,86,138],"determines":[34],"normality":[36],"or":[37],"abnormality":[38],"voice":[40],"disorders":[41],"people.":[43],"The":[44,83,98,135],"Statistical":[45],"measures":[46,69],"fundamental":[48,90,163],"frequency,":[49],"mean":[52],"F0":[53,57,129],"and":[54,79,118,131],"standard":[55],"deviation":[56],"are":[58,70],"suitable":[59,157],"for":[60,75,126,158],"clinical":[61,159],"assessment":[62],"In":[65],"this":[66,108],"study,":[67],"these":[68],"computed":[71],"using":[72],"Robust":[73],"Algorithm":[74],"Pitch":[76],"Tracking":[77],"(RAPT)":[78],"Dr.":[80,113],"Speech":[81,114],"algorithms.":[82],"common":[84],"error":[85],"occurs":[87],"estimation":[92],"algorithm":[93,125],"octave":[96],"error.":[97,109],"post-processing":[99],"method":[100],"namely":[101],"de-step":[102,132],"filter":[103,143],"applied":[105],"to":[106,147],"rectify":[107],"This":[110],"uses":[112],"benchmark":[117],"evaluates":[119],"robustness":[121],"RAPT":[124,152],"original":[128],"contour":[130],"filtered":[133],"contour.":[134],"results":[136],"indicate":[137],"use":[140],"gives":[144],"significant":[145],"improvement":[146],"performance":[149],"algorithm,":[153],"thus":[154],"making":[155],"it":[156],"evaluation":[160],"frequency.":[164]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
