{"id":"https://openalex.org/W2077333068","doi":"https://doi.org/10.1109/icassp.2010.5496023","title":"Complex Newton algorithm for blind signal extraction of speech in diffuse noise","display_name":"Complex Newton algorithm for blind signal extraction of speech in diffuse noise","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2077333068","doi":"https://doi.org/10.1109/icassp.2010.5496023","mag":"2077333068"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5496023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://naist.repo.nii.ac.jp/record/4652/files/ICASSP_2010_213.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033160141","display_name":"Jani Even","orcid":"https://orcid.org/0000-0003-0743-5384"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jani Even","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology , Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003814223","display_name":"Hiroshi Saruwatari","orcid":"https://orcid.org/0000-0003-0876-5617"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Saruwatari","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology , Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111846048","display_name":"Kiyorhiro Shikano","orcid":null},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiyorhiro Shikano","raw_affiliation_strings":["Nara Institute of Science and Technology, Nara, Japan","Nara Institute of Science and Technology , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nara Institute of Science and Technology, Nara, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"Nara Institute of Science and Technology , Japan","institution_ids":["https://openalex.org/I75917431"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084067375","display_name":"Tomoya Takatani","orcid":null},"institutions":[{"id":"https://openalex.org/I1293612202","display_name":"Toyota Motor Corporation (Switzerland)","ror":"https://ror.org/05p0pbv75","country_code":"CH","type":"company","lineage":["https://openalex.org/I1293612202","https://openalex.org/I4210125472","https://openalex.org/I4210137853"]},{"id":"https://openalex.org/I4210137853","display_name":"Toyota Motor Corporation (Japan)","ror":"https://ror.org/02zqm6r10","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210125472","https://openalex.org/I4210137853"]}],"countries":["CH","JP"],"is_corresponding":false,"raw_author_name":"Tomoya Takatani","raw_affiliation_strings":["Toyota Motor Corporation, Aichi, Japan","Toyota Motor Corporation,Aichi,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toyota Motor Corporation, Aichi, Japan","institution_ids":["https://openalex.org/I4210137853"]},{"raw_affiliation_string":"Toyota Motor Corporation,Aichi,Japan","institution_ids":["https://openalex.org/I1293612202"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1964494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"213","last_page":"216"},"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":0.9954000115394592,"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":0.9897000193595886,"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/noise","display_name":"Noise (video)","score":0.6258032917976379},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.5751450657844543},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5749250650405884},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5701263546943665},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5178573131561279},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5166445374488831},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4775322675704956},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4394386410713196},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4387474060058594},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3247515559196472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23449823260307312},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.20213773846626282},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1360895335674286},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11647874116897583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09118637442588806}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6258032917976379},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.5751450657844543},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5749250650405884},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5701263546943665},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5178573131561279},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166445374488831},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4775322675704956},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4394386410713196},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4387474060058594},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3247515559196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23449823260307312},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.20213773846626282},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1360895335674286},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11647874116897583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09118637442588806},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5496023","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01146:0005783103","is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/4652","pdf_url":"https://naist.repo.nii.ac.jp/record/4652/files/ICASSP_2010_213.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01146:0005783103","is_oa":true,"landing_page_url":"https://naist.repo.nii.ac.jp/records/4652","pdf_url":"https://naist.repo.nii.ac.jp/record/4652/files/ICASSP_2010_213.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2077333068.pdf","grobid_xml":"https://content.openalex.org/works/W2077333068.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W76597279","https://openalex.org/W1964123279","https://openalex.org/W2005522781","https://openalex.org/W2096327012","https://openalex.org/W2099741732","https://openalex.org/W2114461480","https://openalex.org/W2159485234","https://openalex.org/W2164452510"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2130656060","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460"],"abstract_inverted_index":{"Several":[0],"recent":[1],"methods":[2],"for":[3,43],"speech":[4],"enhancement":[5],"in":[6,48],"presence":[7],"of":[8,50,66,71,76,79],"diffuse":[9,21,46],"background":[10],"noise":[11,22,47],"use":[12],"frequency":[13,37,52],"domain":[14,38,53],"blind":[15,39,54,102],"signal":[16,40,55,103],"separation":[17,104],"to":[18,28,90,100],"estimate":[19],"the":[20,45,51,62,77,80,91,95,101],"and":[23,99],"a":[24,36,67,72],"nonlinear":[25],"post":[26],"filter":[27],"suppress":[29],"this":[30],"estimated":[31],"noise.":[32],"This":[33],"paper":[34],"presents":[35],"extraction":[41],"method":[42,58,87],"estimating":[44],"place":[49],"separation.":[56],"The":[57,83],"is":[59,88],"based":[60],"on":[61,94],"minimization":[63],"by":[64],"means":[65],"complex":[68,85],"Newton":[69,86],"algorithm":[70],"cost":[73,97],"function":[74,98],"depending":[75],"modulus":[78],"extracted":[81],"component.":[82],"proposed":[84],"compared":[89],"gradient":[92],"descent":[93],"same":[96],"approach.":[105]},"counts_by_year":[],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}