{"id":"https://openalex.org/W1874846234","doi":"https://doi.org/10.1109/eusipco.2015.7362336","title":"Multi-pitch estimation and tracking using Bayesian inference in block sparsity","display_name":"Multi-pitch estimation and tracking using Bayesian inference in block sparsity","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1874846234","doi":"https://doi.org/10.1109/eusipco.2015.7362336","mag":"1874846234"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lup.lub.lu.se/record/7767441","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027383698","display_name":"Sam Karimian-Azari","orcid":"https://orcid.org/0000-0002-6225-2663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Karimian-Azari","raw_affiliation_strings":["Audio Analysis Lab, AD:MT, Aalborg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, AD:MT, Aalborg University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037213595","display_name":"Andreas Jakobsson","orcid":"https://orcid.org/0000-0002-2156-6973"},"institutions":[{"id":"https://openalex.org/I1279596006","display_name":"Statistics Sweden","ror":"https://ror.org/05x7wz523","country_code":"SE","type":"government","lineage":["https://openalex.org/I1279596006"]},{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andreas Jakobsson","raw_affiliation_strings":["Dept. of Mathematical Statistics, Lund University","[Dept. of Mathematical Statistics, Lund University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Mathematical Statistics, Lund University","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]},{"raw_affiliation_string":"[Dept. of Mathematical Statistics, Lund University]","institution_ids":["https://openalex.org/I1279596006","https://openalex.org/I187531555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041263382","display_name":"Jesper Rindom Jensen","orcid":"https://orcid.org/0000-0001-6023-8270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jesper R. Jensen","raw_affiliation_strings":["Audio Analysis Lab, AD:MT, Aalborg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, AD:MT, Aalborg University","institution_ids":[]}]},{"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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mads G. Christensen","raw_affiliation_strings":["Audio Analysis Lab, AD:MT, Aalborg University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Audio Analysis Lab, AD:MT, Aalborg University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4498,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81804589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"495","issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9979000091552734,"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":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745349168777466},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6165465116500854},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5809767246246338},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5628345608711243},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5415239334106445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5165144801139832},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46780112385749817},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4353812336921692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3929024338722229},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3343236744403839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21708843111991882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0738949179649353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745349168777466},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6165465116500854},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5809767246246338},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5628345608711243},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5415239334106445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5165144801139832},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46780112385749817},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4353812336921692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3929024338722229},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3343236744403839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21708843111991882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0738949179649353},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/eusipco.2015.7362336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:lup.lub.lu.se:8fbe0359-3171-41ed-aeae-9b843278e370","is_oa":true,"landing_page_url":"https://lup.lub.lu.se/record/7767441","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"text"},{"id":"pmh:oai:pure.atira.dk:publications/acb43ee3-3f8d-47a9-997d-7f25e13cf8aa","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/acb43ee3-3f8d-47a9-997d-7f25e13cf8aa","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Karimian-Azari , S , Jakobsson , A , Jensen , J R & Christensen , M G 2015 , Multi-Pitch Estimation and Tracking Using Bayesian Inference in Block Sparsity . in 2015 Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015) . IEEE , Proceedings of the European Signal Processing Conference , pp. 16-20 , European Signal Processing Conference (EUSIPCO) , Nice , France , 31/08/2015 . https://doi.org/10.1109/EUSIPCO.2015.7362336","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:lup.lub.lu.se:8fbe0359-3171-41ed-aeae-9b843278e370","is_oa":true,"landing_page_url":"https://lup.lub.lu.se/record/7767441","pdf_url":null,"source":{"id":"https://openalex.org/S4306400536","display_name":"Lund University Publications (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1496116216","https://openalex.org/W1506806321","https://openalex.org/W1663973292","https://openalex.org/W1981649976","https://openalex.org/W1982652137","https://openalex.org/W1984544290","https://openalex.org/W1992166052","https://openalex.org/W2020925091","https://openalex.org/W2088632109","https://openalex.org/W2091425152","https://openalex.org/W2104298926","https://openalex.org/W2109622017","https://openalex.org/W2113328646","https://openalex.org/W2125722442","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2158470424","https://openalex.org/W2161863519","https://openalex.org/W2167213931","https://openalex.org/W2169905519","https://openalex.org/W2172485033","https://openalex.org/W2570759978","https://openalex.org/W2787894218","https://openalex.org/W6676664377"],"related_works":["https://openalex.org/W2372267530","https://openalex.org/W2969189870","https://openalex.org/W3015855446","https://openalex.org/W2965643117","https://openalex.org/W4303857162","https://openalex.org/W2407375987","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158"],"abstract_inverted_index":{"In":[0,86],"this":[1],"paper,":[2],"we":[3],"consider":[4],"the":[5,37,44,54,82,92,103,106],"problem":[6],"of":[7,12,16,43,53,56,84,105],"multi-pitch":[8],"estimation":[9],"and":[10,31,67,77,98],"tracking":[11,42,83],"an":[13],"unknown":[14],"number":[15,55],"harmonic":[17],"audio":[18,100],"sources.":[19],"The":[20,61],"regularized":[21],"least-squares":[22],"is":[23],"a":[24,50,64],"solution":[25],"for":[26,40,58],"simultaneous":[27],"sparse":[28],"source":[29],"selection":[30],"parameter":[32],"estimation.":[33],"Exploiting":[34],"block":[35],"sparsity,":[36],"method":[38,62],"allows":[39],"reliable":[41],"found":[45],"sources,":[46],"without":[47],"posing":[48],"detailed":[49],"priori":[51],"assumptions":[52],"harmonics":[57],"each":[59],"source.":[60],"incorporates":[63],"Bayesian":[65],"prior":[66],"assigns":[68],"data-dependent":[69],"reg-ularization":[70],"coefficients":[71],"to":[72],"efficiently":[73],"incorporate":[74],"both":[75,96],"earlier":[76],"future":[78],"data":[79],"blocks":[80],"in":[81],"estimates.":[85],"comparison":[87],"with":[88],"fix":[89],"regularization":[90],"coefficients,":[91],"simulation":[93],"results,":[94],"using":[95],"real":[97],"synthetic":[99],"signals,":[101],"confirm":[102],"performance":[104],"proposed":[107],"method.":[108]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}