{"id":"https://openalex.org/W110217990","doi":"https://doi.org/10.21437/interspeech.2004-395","title":"Audio source separation from the mixture using empirical mode decomposition with independent subspace analysis","display_name":"Audio source separation from the mixture using empirical mode decomposition with independent subspace analysis","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W110217990","doi":"https://doi.org/10.21437/interspeech.2004-395","mag":"110217990"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2004-395","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","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/A5049126081","display_name":"Md. Khademul Islam Molla","orcid":"https://orcid.org/0000-0001-8956-9989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md. Khademul Islam Molla","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108197272","display_name":"Keikichi Hirose","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keikichi Hirose","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5041213266","display_name":"Nobuaki Minematsu","orcid":"https://orcid.org/0000-0002-8778-9555"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuaki Minematsu","raw_affiliation_strings":["university of Tokyo;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"university of Tokyo;","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2449","last_page":"2452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","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/T11447","display_name":"Blind Source Separation Techniques","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/T10860","display_name":"Speech and Audio Processing","score":0.9817000031471252,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8632680177688599},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7274566888809204},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.6601965427398682},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5762010812759399},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.5300913453102112},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5197070240974426},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.5116243958473206},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.5004398822784424},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.49433183670043945},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.48629507422447205},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48038727045059204},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.46408435702323914},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.4462663531303406},{"id":"https://openalex.org/keywords/hilbert-spectral-analysis","display_name":"Hilbert spectral analysis","score":0.434237539768219},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4273397922515869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4230436384677887},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.4194610118865967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4024469256401062},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.363986611366272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30936717987060547},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1644517481327057},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.14491033554077148},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.11650395393371582},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.11266422271728516},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.10341128706932068},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0751008689403534},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06929600238800049}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8632680177688599},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7274566888809204},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.6601965427398682},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5762010812759399},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.5300913453102112},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5197070240974426},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.5116243958473206},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.5004398822784424},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.49433183670043945},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.48629507422447205},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48038727045059204},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.46408435702323914},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.4462663531303406},{"id":"https://openalex.org/C207659853","wikidata":"https://www.wikidata.org/wiki/Q5761228","display_name":"Hilbert spectral analysis","level":4,"score":0.434237539768219},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4273397922515869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4230436384677887},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.4194610118865967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4024469256401062},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.363986611366272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30936717987060547},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1644517481327057},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.14491033554077148},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.11650395393371582},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.11266422271728516},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.10341128706932068},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0751008689403534},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06929600238800049},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/interspeech.2004-395","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2004-395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2004","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.589.7096","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.589.7096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gavo.t.u-tokyo.ac.jp/~mine/paper/PDF/2004/ICSLP_p2449-2452_t2004-10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W29021047","https://openalex.org/W84529036","https://openalex.org/W1548802052","https://openalex.org/W1956364622","https://openalex.org/W2007221293","https://openalex.org/W2123649031","https://openalex.org/W2296464156"],"related_works":["https://openalex.org/W2060439639","https://openalex.org/W2370187152","https://openalex.org/W2107880197","https://openalex.org/W2116348888","https://openalex.org/W1496458581","https://openalex.org/W2002496381","https://openalex.org/W2366552458","https://openalex.org/W2985368510","https://openalex.org/W2109806355","https://openalex.org/W2388406650"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"decompose":[4],"the":[5,19,45,62,90,103,108,125],"Hilbert":[6,27,30],"Spectrum":[7],"of":[8,15,39,66,95],"an":[9],"audio":[10],"mixture":[11,46],"into":[12,48,93],"a":[13,35,40],"number":[14,94],"subspaces":[16],"to":[17,88,102],"segregate":[18],"sources.":[20,97],"Empirical":[21],"mode":[22,55],"decomposition":[23],"(EMD)":[24],"together":[25],"with":[26],"transform":[28],"produces":[29],"spectrum":[31],"(HS),":[32],"which":[33],"is":[34,59,86],"fine-resolution":[36],"time-frequency":[37],"representation":[38],"non-stationary":[41],"signal.":[42],"EMD":[43],"decomposes":[44],"signal":[47],"some":[49,121,131],"intrinsic":[50,54],"oscillatory":[51],"modes":[52],"called":[53],"function":[56],"(IMF).":[57],"HS":[58,100],"constructed":[60],"from":[61],"instantaneous":[63],"frequency":[64,69],"responses":[65],"IMFs.":[67],"Some":[68],"independent":[70,76,109],"basis":[71,91,105],"vectors":[72,92,106],"are":[73,117],"derived":[74],"using":[75,134],"component":[77],"analysis":[78],"(ICA).":[79],"Kulback-Laibler":[80],"divergence":[81],"based":[82],"k-means":[83],"clustering":[84],"algorithm":[85],"proposed":[87,136],"group":[89],"desired":[96],"Then":[98],"projecting":[99],"on":[101,124],"grouped":[104],"derives":[107],"source":[110,115],"subspaces.":[111,126],"The":[112],"time":[113],"domain":[114],"signals":[116],"assembled":[118],"by":[119],"applying":[120],"post":[122],"processing":[123],"We":[127],"have":[128],"also":[129],"produced":[130],"experimental":[132],"results":[133],"our":[135],"separation":[137],"algorithm.":[138],"1.":[139]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}