{"id":"https://openalex.org/W2937845027","doi":"https://doi.org/10.1109/icassp.2019.8683653","title":"A Study on How Pre-whitening Influences Fundamental Frequency Estimation","display_name":"A Study on How Pre-whitening Influences Fundamental Frequency Estimation","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2937845027","doi":"https://doi.org/10.1109/icassp.2019.8683653","mag":"2937845027"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/ws/files/295888299/PrewhiteningInfluence_ICASSP_2019.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021054273","display_name":"Alfredo Esquivel Jaramillo","orcid":"https://orcid.org/0000-0002-8994-9479"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Alfredo Esquivel Jaramillo","raw_affiliation_strings":["Audio Analysis Lab, CREATE, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088017609","display_name":"Jesper Kj\u00e6r Nielsen","orcid":"https://orcid.org/0000-0002-2586-7925"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jesper Kjar Nielsen","raw_affiliation_strings":["Audio Analysis Lab, CREATE, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mads Grasboll Christensen","raw_affiliation_strings":["Audio Analysis Lab, CREATE, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, CREATE, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I891191580"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6495","last_page":"6499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7476717233657837},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7182687520980835},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.6771304607391357},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6461360454559326},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.639447808265686},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5631841421127319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5483598709106445},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5031031966209412},{"id":"https://openalex.org/keywords/octave","display_name":"Octave (electronics)","score":0.4852021038532257},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4793856143951416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45728060603141785},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.43659672141075134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4304017126560211},{"id":"https://openalex.org/keywords/fundamental-frequency","display_name":"Fundamental frequency","score":0.42855218052864075},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.414853036403656},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3783382177352905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3347228169441223},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.25022172927856445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24956366419792175},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.19790306687355042},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14905092120170593}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7476717233657837},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7182687520980835},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.6771304607391357},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6461360454559326},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.639447808265686},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5631841421127319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5483598709106445},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5031031966209412},{"id":"https://openalex.org/C85841341","wikidata":"https://www.wikidata.org/wiki/Q1135984","display_name":"Octave (electronics)","level":2,"score":0.4852021038532257},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4793856143951416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45728060603141785},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.43659672141075134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4304017126560211},{"id":"https://openalex.org/C10513763","wikidata":"https://www.wikidata.org/wiki/Q1331774","display_name":"Fundamental frequency","level":2,"score":0.42855218052864075},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.414853036403656},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3783382177352905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3347228169441223},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.25022172927856445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24956366419792175},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.19790306687355042},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14905092120170593},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2019.8683653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/d9deeff6-1dbf-46fb-a714-f88a13d3e62a","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/d9deeff6-1dbf-46fb-a714-f88a13d3e62a","pdf_url":"https://vbn.aau.dk/ws/files/295888299/PrewhiteningInfluence_ICASSP_2019.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/d9deeff6-1dbf-46fb-a714-f88a13d3e62a","is_oa":true,"landing_page_url":"https://sigport.org/documents/study-how-pre-whitening-influences-fundamental-frequency-estimation","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/d9deeff6-1dbf-46fb-a714-f88a13d3e62a","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/d9deeff6-1dbf-46fb-a714-f88a13d3e62a","pdf_url":"https://vbn.aau.dk/ws/files/295888299/PrewhiteningInfluence_ICASSP_2019.pdf","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2937845027.pdf","grobid_xml":"https://content.openalex.org/works/W2937845027.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W23669922","https://openalex.org/W1514558801","https://openalex.org/W2027341454","https://openalex.org/W2051428568","https://openalex.org/W2068641562","https://openalex.org/W2079698721","https://openalex.org/W2085628288","https://openalex.org/W2090064169","https://openalex.org/W2091425152","https://openalex.org/W2104499707","https://openalex.org/W2117543052","https://openalex.org/W2121771908","https://openalex.org/W2146324387","https://openalex.org/W2151484683","https://openalex.org/W2158336491","https://openalex.org/W2158972663","https://openalex.org/W2159514726","https://openalex.org/W2172080951","https://openalex.org/W2282568441","https://openalex.org/W2520704801","https://openalex.org/W2576278524","https://openalex.org/W2802812753","https://openalex.org/W2804967840","https://openalex.org/W2810004028","https://openalex.org/W4211205285","https://openalex.org/W4299729612","https://openalex.org/W6685329889"],"related_works":["https://openalex.org/W2594273119","https://openalex.org/W2170781407","https://openalex.org/W1988789108","https://openalex.org/W2369507939","https://openalex.org/W2370832149","https://openalex.org/W2079755857","https://openalex.org/W2143653262","https://openalex.org/W1665119924","https://openalex.org/W1700578922","https://openalex.org/W2116566913"],"abstract_inverted_index":{"This":[0],"paper":[1,75],"deals":[2],"with":[3],"the":[4,9,25,64,117,126,134,148,155],"influence":[5],"of":[6,11,56,63,73,105,120],"pre-whitening":[7,80,107,114,157],"for":[8],"task":[10],"fundamental":[12,19,66],"frequency":[13,20,67],"estimation":[14,94,118,151],"in":[15,45,54],"noisy":[16],"conditions.":[17,40],"Parametric":[18],"estimators":[21],"commonly":[22],"assume":[23],"that":[24,113,143],"noise":[26,42,87,92,100,127,149],"is":[27,43,76,128,145],"white":[28],"and":[29,49,102],"Gaussian":[30],"and,":[31],"therefore,":[32],"they":[33],"are":[34,108,136],"only":[35],"statistically":[36],"efficient":[37],"under":[38],"those":[39],"The":[41,71,110],"coloured":[44],"many":[46],"practical":[47],"applications":[48],"this":[50,74,83,97,144],"will":[51],"often":[52],"result":[53],"problems":[55],"misidentifying":[57],"an":[58,121],"integer":[59],"divisor":[60],"or":[61],"multiple":[62],"true":[65],"(i.e.,":[68],"octave":[69],"errors).":[70],"purpose":[72],"to":[77,147],"see":[78],"if":[79],"can":[81],"reduce":[82],"problem,":[84],"based":[85],"on":[86],"statistics":[88],"obtained":[89],"from":[90],"existing":[91],"PSD":[93,150],"algorithms.":[95],"For":[96,131],"purpose,":[98],"different":[99],"types":[101],"prediction":[103],"orders":[104],"LPC":[106,156],"considered.":[109],"results":[111],"show":[112],"improves":[115],"significantly":[116],"accuracy":[119],"NLS":[122],"pitch":[123],"estimator":[124],"when":[125],"fairly":[129],"stationary.":[130],"nonstationary":[132],"noise,":[133],"improvements":[135],"modest":[137],"at":[138],"best,":[139],"but":[140],"we":[141],"hypothesize":[142],"due":[146],"performance":[152],"rather":[153],"than":[154],"principle.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}