{"id":"https://openalex.org/W2773619849","doi":"https://doi.org/10.1109/mmsp.2017.8122275","title":"Stem audio mixing as a content-based transformation of audio features","display_name":"Stem audio mixing as a content-based transformation of audio features","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2773619849","doi":"https://doi.org/10.1109/mmsp.2017.8122275","mag":"2773619849"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2017.8122275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","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/A5101814826","display_name":"Marco A. Mart\u00ednez Ram\u00edrez","orcid":"https://orcid.org/0000-0002-3989-7519"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Marco A. Martinez Ramirez","raw_affiliation_strings":["Queen Mary University of London, Centre for Digital Music, London, UK"],"affiliations":[{"raw_affiliation_string":"Queen Mary University of London, Centre for Digital Music, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111403298","display_name":"Joshua D. Reiss","orcid":null},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua D. Reiss","raw_affiliation_strings":["Centre for Digital Music, Queen Mary University of London, London, UK"],"affiliations":[{"raw_affiliation_string":"Centre for Digital Music, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101814826"],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":null,"apc_paid":null,"fwci":0.3698,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59856482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":1.0,"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":1.0,"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":0.9976000189781189,"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":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.7432833909988403},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.6469639539718628},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.627323567867279},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.5455427169799805},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5198938846588135},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5071547031402588},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.49135223031044006},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4585992097854614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44253110885620117},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.43275153636932373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38145312666893005},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.3433610796928406},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.20190849900245667},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.06125006079673767}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432833909988403},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.6469639539718628},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.627323567867279},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.5455427169799805},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5198938846588135},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5071547031402588},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.49135223031044006},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4585992097854614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44253110885620117},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.43275153636932373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38145312666893005},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.3433610796928406},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.20190849900245667},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.06125006079673767},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2017.8122275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2017.8122275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2385545","https://openalex.org/W186826960","https://openalex.org/W1493998733","https://openalex.org/W1546415267","https://openalex.org/W1583271657","https://openalex.org/W1595391793","https://openalex.org/W1601600879","https://openalex.org/W1606412951","https://openalex.org/W1625849074","https://openalex.org/W1875061881","https://openalex.org/W2092387354","https://openalex.org/W2098832077","https://openalex.org/W2110855421","https://openalex.org/W2133782029","https://openalex.org/W2134902468","https://openalex.org/W2137637927","https://openalex.org/W2143582430","https://openalex.org/W2155261478","https://openalex.org/W2197976621","https://openalex.org/W2295404044","https://openalex.org/W2296724634","https://openalex.org/W2406196141","https://openalex.org/W2412823827","https://openalex.org/W2473824085","https://openalex.org/W2697902940","https://openalex.org/W2761629010","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3021516576","https://openalex.org/W4212883601","https://openalex.org/W4253679958","https://openalex.org/W6632795609","https://openalex.org/W6634854180","https://openalex.org/W6636137957","https://openalex.org/W6681239734","https://openalex.org/W6697040288","https://openalex.org/W6713465158","https://openalex.org/W6715959605"],"related_works":["https://openalex.org/W2289868279","https://openalex.org/W2380475804","https://openalex.org/W2970176078","https://openalex.org/W4231351862","https://openalex.org/W4212794605","https://openalex.org/W4315836293","https://openalex.org/W4243888788","https://openalex.org/W1975359510","https://openalex.org/W3004352674","https://openalex.org/W2769884427"],"abstract_inverted_index":{"Multitrack":[0],"audio":[1,38,90],"mixing":[2,56],"is":[3],"an":[4],"essential":[5],"part":[6],"of":[7,12,50,57,69,83,104,118,132],"music":[8],"production":[9],"and":[10,47,99],"one":[11],"the":[13,55,60,67,79,88,115],"first":[14],"steps":[15],"consist":[16],"on":[17,78],"processing":[18],"individual":[19,123],"stems":[20,58,124],"from":[21],"raw":[22,120],"recordings.":[23],"In":[24],"this":[25,29,44,129],"paper,":[26],"we":[27,100],"investigate":[28],"stage":[30],"as":[31],"a":[32,75,108],"content-based":[33],"transformation.":[34],"We":[35,64,112],"explore":[36],"which":[37,48,102],"features":[39,51,70,91,105],"are":[40,92],"relevant":[41],"to":[42,94,107],"interpret":[43],"specific":[45],"process":[46],"set":[49,103,131],"gets":[52],"modified":[53],"by":[54,128],"in":[59],"most":[61],"consistent":[62],"way.":[63],"show":[65],"that":[66,114],"number":[68],"can":[71,125],"be":[72,126],"reduced":[73],"with":[74],"procedure":[76],"based":[77],"permutation":[80],"importance":[81],"method":[82],"random":[84],"forest":[85],"classifiers.":[86],"Thus,":[87],"selected":[89,130],"used":[93],"train":[95],"various":[96],"classification":[97,110],"models":[98],"analyse":[101],"lead":[106],"better":[109],"accuracy.":[111],"conclude":[113],"underlying":[116],"characteristics":[117],"manipulating":[119],"recordings":[121],"into":[122],"described":[127],"features.":[133]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}