{"id":"https://openalex.org/W2647078120","doi":"https://doi.org/10.1109/icassp.2017.7952147","title":"Segmentation of music signals based on explained variance ratio for applications in spectral complexity reduction","display_name":"Segmentation of music signals based on explained variance ratio for applications in spectral complexity reduction","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2647078120","doi":"https://doi.org/10.1109/icassp.2017.7952147","mag":"2647078120"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5029889274","display_name":"Ekaterina Krymova","orcid":"https://orcid.org/0000-0002-5313-3451"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ekaterina Krymova","raw_affiliation_strings":["Universit\u00e4t Duisburg-Essen, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Duisburg-Essen, Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044012711","display_name":"Anil Nagathil","orcid":"https://orcid.org/0000-0002-2172-0627"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anil Nagathil","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023650696","display_name":"Denis Belomestny","orcid":"https://orcid.org/0000-0002-9482-6430"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Denis Belomestny","raw_affiliation_strings":["Universit\u00e4t Duisburg-Essen, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Duisburg-Essen, Essen, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064880163","display_name":"Rainer Martin","orcid":"https://orcid.org/0000-0002-9587-4215"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Martin","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr-Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.03784358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"206","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9962999820709229,"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/segmentation","display_name":"Segmentation","score":0.800959587097168},{"id":"https://openalex.org/keywords/equidistant","display_name":"Equidistant","score":0.7801184058189392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603176474571228},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5626111626625061},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.54010009765625},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5379993915557861},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5323880910873413},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48031800985336304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4674310088157654},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4132160544395447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34404775500297546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3415563702583313},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07669520378112793}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.800959587097168},{"id":"https://openalex.org/C158245278","wikidata":"https://www.wikidata.org/wiki/Q4386982","display_name":"Equidistant","level":2,"score":0.7801184058189392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603176474571228},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5626111626625061},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.54010009765625},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5379993915557861},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5323880910873413},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48031800985336304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4674310088157654},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4132160544395447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34404775500297546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3415563702583313},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07669520378112793},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W9205999","https://openalex.org/W1965005287","https://openalex.org/W1979624743","https://openalex.org/W1991484728","https://openalex.org/W2033965108","https://openalex.org/W2056306993","https://openalex.org/W2062990347","https://openalex.org/W2076608692","https://openalex.org/W2079791935","https://openalex.org/W2098580349","https://openalex.org/W2106375419","https://openalex.org/W2110236615","https://openalex.org/W2118607090","https://openalex.org/W2120350343","https://openalex.org/W2125838338","https://openalex.org/W2127851351","https://openalex.org/W2133240958","https://openalex.org/W2140304104","https://openalex.org/W2151560783","https://openalex.org/W2158254928","https://openalex.org/W2168249484","https://openalex.org/W2279324291","https://openalex.org/W3098547022","https://openalex.org/W4297069708","https://openalex.org/W4362230038","https://openalex.org/W6600360952","https://openalex.org/W6674927801","https://openalex.org/W6851411824"],"related_works":["https://openalex.org/W2055230676","https://openalex.org/W2373708349","https://openalex.org/W2370379095","https://openalex.org/W2064284991","https://openalex.org/W2385837322","https://openalex.org/W2123581415","https://openalex.org/W2546071705","https://openalex.org/W2354382931","https://openalex.org/W2392576975","https://openalex.org/W2378019422"],"abstract_inverted_index":{"Since":[0],"natural":[1],"acoustic":[2],"signals":[3,44],"like":[4],"speech":[5],"or":[6],"music":[7,43],"exhibit":[8],"a":[9,37,68,84],"highly":[10],"varying":[11],"temporal":[12],"structure,":[13],"signal":[14,28],"enhancement":[15],"and":[16],"feature":[17],"extraction":[18],"algorithms":[19],"benefit":[20],"from":[21],"segmentation":[22,40,85,96],"procedures":[23],"which":[24,45,73],"take":[25],"the":[26,53,56,65,94],"underlying":[27],"structure":[29],"into":[30],"account.":[31],"In":[32],"this":[33],"paper":[34],"we":[35],"present":[36],"novel":[38],"unsupervised":[39],"procedure":[41,61,97],"for":[42],"relies":[46],"on":[47,87],"an":[48,99],"explained":[49],"variance":[50],"criterion":[51],"in":[52,64,101,106],"eigenspace":[54],"of":[55,67,76,103],"constant-Q":[57],"spectral":[58,69],"domain.":[59],"The":[60,90],"is":[62,81],"used":[63],"context":[66],"complexity":[70],"reduction":[71],"method":[72],"mitigates":[74],"effects":[75],"cochlear":[77],"hearing":[78],"loss.":[79],"It":[80],"compared":[82],"to":[83,108],"based":[86],"equidistant":[88,110],"boundaries.":[89],"results":[91],"demonstrate":[92],"that":[93],"proposed":[95],"gives":[98],"improvement":[100],"terms":[102],"signal-to-artefacts":[104],"ratio":[105],"comparison":[107],"corresponding":[109],"boundaries":[111],"segmentation.":[112]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
