{"id":"https://openalex.org/W2218314414","doi":"https://doi.org/10.1109/spa.2015.7365137","title":"Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods","display_name":"Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2218314414","doi":"https://doi.org/10.1109/spa.2015.7365137","mag":"2218314414"},"language":"en","primary_location":{"id":"doi:10.1109/spa.2015.7365137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100622050","display_name":"Cong Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Cong Yang","raw_affiliation_strings":["Research Group of Pattern of Recognition, University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group of Pattern of Recognition, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037990310","display_name":"Marcin Grzegorzek","orcid":"https://orcid.org/0000-0003-4877-8287"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcin Grzegorzek","raw_affiliation_strings":["Research Group of Pattern of Recognition, University of Siegen, Siegen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Group of Pattern of Recognition, University of Siegen, Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083966893","display_name":"Ewa \u0141ukasik","orcid":"https://orcid.org/0000-0003-3948-1406"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Ewa Lukasik","raw_affiliation_strings":["Institute of Computing Science, Poznan University of Technology, Poznan, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Science, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4856,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58216943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"76","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9998000264167786,"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/T10788","display_name":"Neuroscience and Music Perception","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.7907740473747253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7275763750076294},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6541906595230103},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6489642262458801},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6036619544029236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868366360664368},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5583051443099976},{"id":"https://openalex.org/keywords/violin","display_name":"Violin","score":0.48886340856552124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42838403582572937},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42194443941116333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3706679940223694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21287482976913452},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17812767624855042},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13505664467811584}],"concepts":[{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.7907740473747253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275763750076294},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6541906595230103},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6489642262458801},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6036619544029236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868366360664368},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5583051443099976},{"id":"https://openalex.org/C129554576","wikidata":"https://www.wikidata.org/wiki/Q8355","display_name":"Violin","level":2,"score":0.48886340856552124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42838403582572937},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42194443941116333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3706679940223694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21287482976913452},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17812767624855042},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13505664467811584},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spa.2015.7365137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spa.2015.7365137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318008","display_name":"Universit\u00e4t Siegen","ror":"https://ror.org/02azyry73"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1489846501","https://openalex.org/W1541960437","https://openalex.org/W2008066450","https://openalex.org/W2029243424","https://openalex.org/W2031279453","https://openalex.org/W2037122044","https://openalex.org/W2058467582","https://openalex.org/W2089580701","https://openalex.org/W2094816543","https://openalex.org/W2111569598","https://openalex.org/W2117042504","https://openalex.org/W2167640896","https://openalex.org/W2222512263","https://openalex.org/W2505893087","https://openalex.org/W2595159035","https://openalex.org/W4231627457","https://openalex.org/W4239339398","https://openalex.org/W4390748465","https://openalex.org/W6860408554"],"related_works":["https://openalex.org/W3005665219","https://openalex.org/W2377398662","https://openalex.org/W2333469993","https://openalex.org/W2022759485","https://openalex.org/W656498565","https://openalex.org/W2036805226","https://openalex.org/W639295560","https://openalex.org/W2371135719","https://openalex.org/W2046037681","https://openalex.org/W2614360952"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"application":[3],"of":[4,14,26,71,77,95],"shape":[5],"retrieval":[6,125],"method":[7,116],"developed":[8],"and":[9,19,52,103,107,112,123],"used":[10],"in":[11],"the":[12,22,42,59,69,75,93,105,120],"domain":[13],"Computer":[15],"Vision":[16],"to":[17,20,32,48],"describe":[18,37],"match":[21],"long-term":[23],"temporal":[24],"envelope":[25,54,61,99],"musical":[27],"instruments":[28],"sounds":[29],"that":[30],"are":[31],"be":[33,64],"compared.":[34],"To":[35],"effectively":[36],"each":[38],"envelope,":[39],"we":[40],"employ":[41],"skeleton":[43,72,86,102,110,121],"descriptor,":[44],"namely":[45],"Audio":[46],"Skeleton,":[47],"integrate":[49],"both":[50],"geometrical":[51],"topological":[53],"features.":[55],"Based":[56],"on":[57,83,127],"skeletons,":[58],"audio":[60,78,98,109,124],"matching":[62,113,122],"can":[63],"substituted":[65],"by":[66],"searching":[67],"for":[68],"correspondences":[70],"endpoints.":[73],"Finally,":[74],"similarity":[76],"envelopes":[79],"is":[80,117],"calculated":[81],"based":[82],"their":[84],"correlated":[85],"matching.":[87],"Our":[88,115],"main":[89],"contributions":[90],"include":[91],"(i)":[92],"introduction":[94],"a":[96],"novel":[97],"descriptor":[100],"with":[101],"(ii)":[104],"efficient":[106],"fast":[108],"pruning":[111],"algorithms.":[114],"validated":[118],"through":[119],"experiments":[126],"AMATI":[128],"violin":[129],"sound":[130],"dataset.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}