{"id":"https://openalex.org/W2162904060","doi":"https://doi.org/10.1155/s1110865703304020","title":"Frequency-Zooming ARMA Modeling for Analysis of Noisy String Instrument Tones","display_name":"Frequency-Zooming ARMA Modeling for Analysis of Noisy String Instrument Tones","publication_year":2003,"publication_date":"2003-09-08","ids":{"openalex":"https://openalex.org/W2162904060","doi":"https://doi.org/10.1155/s1110865703304020","mag":"2162904060"},"language":"en","primary_location":{"id":"doi:10.1155/s1110865703304020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703304020","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703304020","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703304020","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048366498","display_name":"Paulo A. A. Esquef","orcid":"https://orcid.org/0000-0002-9544-9681"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Paulo A. A. Esquef","raw_affiliation_strings":["Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111816092","display_name":"Matti Karjalainen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matti Karjalainen","raw_affiliation_strings":["Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021963945","display_name":"Vesa V\u00e4lim\u00e4ki","orcid":"https://orcid.org/0000-0002-7869-292X"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vesa V\u00e4lim\u00e4ki","raw_affiliation_strings":["Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland","Pori School of Technology and Economics, Tampere University of Technology, P.O. Box 300, Pori, FIN-28101, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Acoustics and Audio Signal Processing, Helsinki University of Technology, P.O. Box 3000, Espoo, FIN-02015 HUT, Finland","institution_ids":[]},{"raw_affiliation_string":"Pori School of Technology and Economics, Tampere University of Technology, P.O. Box 300, Pori, FIN-28101, Finland","institution_ids":["https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048366498"],"corresponding_institution_ids":[],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.4832,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84213007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2003","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.7604849338531494},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.6580429077148438},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.6551305055618286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650458574295044},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.6492307782173157},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5696392059326172},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5220239758491516},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4590024948120117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41533300280570984},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.37744611501693726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22611695528030396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22277939319610596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12285414338111877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11146363615989685}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7604849338531494},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6580429077148438},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.6551305055618286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650458574295044},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.6492307782173157},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5696392059326172},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5220239758491516},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4590024948120117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41533300280570984},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.37744611501693726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22611695528030396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22277939319610596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12285414338111877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11146363615989685},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/s1110865703304020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703304020","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703304020","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.398.886","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.398.886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://asp.eurasipjournals.com/content/pdf/1687-6180-2003-409784.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:f0ffe293867c4bf6a8796fb2f5ca1bb8","is_oa":true,"landing_page_url":"https://doaj.org/article/f0ffe293867c4bf6a8796fb2f5ca1bb8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 10, p 409784 (2003)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/s1110865703304020","is_oa":true,"landing_page_url":"https://doi.org/10.1155/s1110865703304020","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/S1110865703304020","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1687-6172","issn":["1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2162904060.pdf","grobid_xml":"https://content.openalex.org/works/W2162904060.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1481646516","https://openalex.org/W1495249717","https://openalex.org/W1502042243","https://openalex.org/W1522989057","https://openalex.org/W1555337328","https://openalex.org/W1573868495","https://openalex.org/W1604949508","https://openalex.org/W1775437311","https://openalex.org/W1820572612","https://openalex.org/W1965324089","https://openalex.org/W1965392255","https://openalex.org/W1966264494","https://openalex.org/W1999542175","https://openalex.org/W2004339232","https://openalex.org/W2021123050","https://openalex.org/W2026933252","https://openalex.org/W2027137987","https://openalex.org/W2029027380","https://openalex.org/W2031267430","https://openalex.org/W2033332370","https://openalex.org/W2062626830","https://openalex.org/W2065656021","https://openalex.org/W2073390125","https://openalex.org/W2074310426","https://openalex.org/W2083336417","https://openalex.org/W2112947309","https://openalex.org/W2113523484","https://openalex.org/W2115144768","https://openalex.org/W2116679283","https://openalex.org/W2124099093","https://openalex.org/W2148531870","https://openalex.org/W2149095746","https://openalex.org/W2151915369","https://openalex.org/W2156814540","https://openalex.org/W2157542351","https://openalex.org/W2164764235","https://openalex.org/W2165836801","https://openalex.org/W2167330024","https://openalex.org/W2168945679","https://openalex.org/W2222707943","https://openalex.org/W2294317068","https://openalex.org/W2613409864","https://openalex.org/W4233159434","https://openalex.org/W4309573086","https://openalex.org/W6632940546","https://openalex.org/W6641608186","https://openalex.org/W6666006987"],"related_works":["https://openalex.org/W2788595494","https://openalex.org/W2244676099","https://openalex.org/W3172556642","https://openalex.org/W3157456843","https://openalex.org/W1990150827","https://openalex.org/W2036676347","https://openalex.org/W1589307369","https://openalex.org/W3165790285","https://openalex.org/W199725827","https://openalex.org/W4248896451"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"model-based":[3],"analysis":[4],"of":[5,15,36,45,48,82,84,92,97],"string":[6,58,98],"instrument":[7,59,99],"sounds.":[8,100],"In":[9],"particular,":[10],"it":[11],"reviews":[12],"the":[13,37,42,68,77,90,93],"application":[14],"autoregressive":[16,26],"(AR)":[17],"modeling":[18,30,41,70],"to":[19,75],"sound":[20],"analysis/synthesis":[21],"purposes.":[22],"Moreover,":[23],"a":[24,72],"frequency-zooming":[25],"moving":[27],"average":[28],"(FZ-ARMA)":[29],"scheme":[31],"is":[32,51,71],"described.":[33],"The":[34],"performance":[35],"FZ-ARMA":[38,69],"method":[39,94],"on":[40],"modal":[43],"behavior":[44],"isolated":[46],"groups":[47],"resonance":[49],"frequencies":[50],"evaluated":[52],"for":[53],"both":[54],"synthetic":[55],"and":[56,80],"real":[57],"tones":[60],"immersed":[61],"in":[62,95],"background":[63],"noise.":[64],"We":[65],"demonstrate":[66],"that":[67],"robust":[73],"tool":[74],"estimate":[76],"decay":[78],"time":[79],"frequency":[81],"partials":[83],"noisy":[85],"tones.":[86],"Finally,":[87],"we":[88],"discuss":[89],"use":[91],"synthesis":[96]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
