{"id":"https://openalex.org/W2408321390","doi":"https://doi.org/10.1109/icassp.2016.7471653","title":"Blind speech separation based on complex spherical k-mode clustering","display_name":"Blind speech separation based on complex spherical k-mode clustering","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2408321390","doi":"https://doi.org/10.1109/icassp.2016.7471653","mag":"2408321390"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2016.7471653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5011191228","display_name":"Lukas Drude","orcid":"https://orcid.org/0000-0003-3683-5432"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lukas Drude","raw_affiliation_strings":["Department of Communications Engineering, University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064522438","display_name":"Christoph Boeddeker","orcid":"https://orcid.org/0000-0002-8701-1567"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Boeddeker","raw_affiliation_strings":["Department of Communications Engineering, University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082075598","display_name":"Reinhold Haeb\u2010Umbach","orcid":"https://orcid.org/0000-0001-9468-7330"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reinhold Haeb-Umbach","raw_affiliation_strings":["Department of Communications Engineering, University of Paderborn, Paderborn, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011191228"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":0.71433316,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72180663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"141","last_page":"145"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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":0.9998000264167786,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/hypersphere","display_name":"Hypersphere","score":0.8436833024024963},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8056078553199768},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5543705821037292},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5474876761436462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5218438506126404},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4681644141674042},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4143604636192322},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34540796279907227},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.31304416060447693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29593801498413086}],"concepts":[{"id":"https://openalex.org/C2776562905","wikidata":"https://www.wikidata.org/wiki/Q306610","display_name":"Hypersphere","level":2,"score":0.8436833024024963},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8056078553199768},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5543705821037292},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5474876761436462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5218438506126404},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4681644141674042},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4143604636192322},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34540796279907227},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.31304416060447693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29593801498413086},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2016.7471653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2016.7471653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W1790954942","https://openalex.org/W1981463705","https://openalex.org/W1987906574","https://openalex.org/W1991082011","https://openalex.org/W1996304098","https://openalex.org/W2012910847","https://openalex.org/W2030486566","https://openalex.org/W2031583051","https://openalex.org/W2042860487","https://openalex.org/W2043216213","https://openalex.org/W2073459066","https://openalex.org/W2113990625","https://openalex.org/W2127851351","https://openalex.org/W2145001205","https://openalex.org/W2150593711","https://openalex.org/W2168273590","https://openalex.org/W2295335497","https://openalex.org/W4205778870","https://openalex.org/W6668990524","https://openalex.org/W6682124274","https://openalex.org/W6697285292"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W3144143113","https://openalex.org/W4306940721","https://openalex.org/W2160785859","https://openalex.org/W2938348585","https://openalex.org/W3022637481","https://openalex.org/W4301002638","https://openalex.org/W3120229345","https://openalex.org/W2892323093","https://openalex.org/W2374506950"],"abstract_inverted_index":{"We":[0,38],"present":[1],"an":[2],"algorithm":[3,33,43,51,82],"for":[4,52],"clustering":[5],"complex-valued":[6,36],"unit":[7,12],"length":[8],"vectors":[9],"on":[10,84],"the":[11,30,41,48,78],"hypersphere,":[13],"which":[14],"we":[15],"call":[16],"complex":[17,53],"spherical":[18,31,80],"k-mode":[19,81],"clustering,":[20],"as":[21,26],"it":[22],"can":[23,44],"be":[24,45],"viewed":[25],"a":[27,62],"generalization":[28],"of":[29,93],"k-means":[32],"to":[34,101],"normalized":[35],"vectors.":[37],"show":[39],"how":[40],"proposed":[42,79],"derived":[46],"from":[47],"Expectation":[49],"Maximization":[50],"Watson":[54],"mixture":[55],"models":[56],"and":[57,103],"prove":[58],"its":[59],"applicability":[60],"in":[61,91],"blind":[63],"speech":[64],"separation":[65],"(BSS)":[66],"task":[67],"with":[68,86],"real-world":[69],"room":[70],"impulse":[71],"response":[72],"measurements.":[73],"It":[74],"turns":[75],"out":[76],"that":[77],"is":[83],"par":[85],"other":[87],"state-of-the-art":[88],"BSS":[89],"algorithms":[90],"terms":[92],"signal-to-inference":[94],"ratio":[95],"gains":[96],"although":[97],"being":[98],"far":[99],"easier":[100],"implement":[102],"using":[104],"fewer":[105],"calculations.":[106]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
