{"id":"https://openalex.org/W6949641459","doi":"https://doi.org/10.5281/zenodo.14877463","title":"Mosaikbox: Improving Fully Automatic DJ Mixing Through Rule-Based Stem Modification and Precise Beat-Grid Estimation","display_name":"Mosaikbox: Improving Fully Automatic DJ Mixing Through Rule-Based Stem Modification and Precise Beat-Grid Estimation","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W6949641459","doi":"https://doi.org/10.5281/zenodo.14877463"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.14877463","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877463","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.14877463","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Robert Sowula","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Robert Sowula","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Peter Knees","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter Knees","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"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":0,"citation_normalized_percentile":{"value":0.43575329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9861000180244446,"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":0.9861000180244446,"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/T10860","display_name":"Speech and Audio Processing","score":0.006599999964237213,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.0013000000035390258,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/similarity","display_name":"Similarity (geometry)","score":0.5993000268936157},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5983999967575073},{"id":"https://openalex.org/keywords/music-information-retrieval","display_name":"Music information retrieval","score":0.5949000120162964},{"id":"https://openalex.org/keywords/lyrics","display_name":"Lyrics","score":0.5285999774932861},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48350000381469727},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.4526999890804291},{"id":"https://openalex.org/keywords/timbre","display_name":"Timbre","score":0.43560001254081726},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3806999921798706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209999918937683},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5993000268936157},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5983999967575073},{"id":"https://openalex.org/C2777946086","wikidata":"https://www.wikidata.org/wiki/Q1163335","display_name":"Music information retrieval","level":3,"score":0.5949000120162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5286999940872192},{"id":"https://openalex.org/C2776436406","wikidata":"https://www.wikidata.org/wiki/Q602446","display_name":"Lyrics","level":2,"score":0.5285999774932861},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5002999901771545},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48350000381469727},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.4526999890804291},{"id":"https://openalex.org/C2776539107","wikidata":"https://www.wikidata.org/wiki/Q176501","display_name":"Timbre","level":3,"score":0.43560001254081726},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C3019831412","wikidata":"https://www.wikidata.org/wiki/Q5778278","display_name":"Fully automatic","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C167310288","wikidata":"https://www.wikidata.org/wiki/Q7564808","display_name":"Sound quality","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.26339998841285706},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.14877463","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877463","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.5281/zenodo.14877463","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14877463","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7551718950271606}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,86],"present":[1],"a":[2,47,73,91,98,102,135],"novel":[3,74],"system":[4],"for":[5,18,76,142],"automatic":[6,111],"music":[7,11,27,39,116,156],"mixing":[8,117],"combining":[9],"diverse":[10],"information":[12,63,150],"retrieval":[13],"(MIR)":[14],"techniques":[15,81],"and":[16,21,30,50,94,114,122],"sources":[17],"song":[19,112],"selection":[20,113],"transitioning.":[22],"Specifically,":[23],"we":[24,71],"explore":[25],"how":[26,52],"source":[28],"separation":[29],"stem":[31,126],"analysis":[32],"can":[33,56,139],"contribute":[34],"to":[35,64,97,110],"the":[36,120,131,143,155],"task":[37],"of":[38,68,134,145],"similarity":[40,54,157],"calculation":[41],"by":[42,59],"modifying":[43],"incompatible":[44],"stems":[45],"using":[46,90],"rule-based":[48,125],"approach":[49,75,109,128],"investigate":[51],"audio-based":[53],"measures":[55],"be":[57,140],"supplemented":[58],"lyrics":[60],"as":[61,101],"contextual":[62,146],"capture":[65],"more":[66],"aspects":[67],"music.":[69],"Additionally,":[70],"propose":[72],"tempo":[77],"detection,":[78],"outperforming":[79],"state-of-the-art":[80,99],"in":[82],"low":[83],"error-tolerance":[84],"windows.":[85],"evaluate":[87],"our":[88,108,124],"approaches":[89],"listening":[92],"experiment":[93],"compare":[95],"them":[96],"model":[100],"baseline.":[103],"The":[104],"results":[105],"show":[106],"that":[107,123],"automated":[115],"significantly":[118,129],"outperforms":[119],"baseline":[121],"removal":[127],"enhances":[130],"perceived":[132],"quality":[133],"mix.":[136],"No":[137],"improvement":[138],"observed":[141],"inclusion":[144],"information,":[147],"i.e.,":[148],"mood":[149],"derived":[151],"from":[152],"lyrics,":[153],"into":[154],"measure.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}