{"id":"https://openalex.org/W2218015018","doi":"https://doi.org/10.1109/eusipco.2015.7362550","title":"Recognize and separate approach for speech denoising using nonnegative matrix factorization","display_name":"Recognize and separate approach for speech denoising using nonnegative matrix factorization","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2218015018","doi":"https://doi.org/10.1109/eusipco.2015.7362550","mag":"2218015018"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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/A5070909722","display_name":"Fahad Sohrab","orcid":"https://orcid.org/0000-0002-8080-4011"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fahad Sohrab","raw_affiliation_strings":["Faculty of Engineering, Natural Sciences Sabanci University Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Natural Sciences Sabanci University Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065994318","display_name":"Hakan Erdo\u011fan","orcid":"https://orcid.org/0000-0003-3140-8642"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Erdogan","raw_affiliation_strings":["Faculty of Engineering, Natural Sciences Sabanci University Istanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Natural Sciences Sabanci University Istanbul, Turkey","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134235054"],"apc_list":null,"apc_paid":null,"fwci":0.9712,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74494191,"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":"1083","last_page":"1087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech 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/T10860","display_name":"Speech 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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9975000023841858,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8782565593719482},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.823030948638916},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6802454590797424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6609441041946411},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6260051727294922},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.607433021068573},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.542426347732544},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5382665395736694},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5341234803199768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5183902382850647},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43433523178100586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41578975319862366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08428898453712463}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8782565593719482},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.823030948638916},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6802454590797424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6609441041946411},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6260051727294922},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.607433021068573},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.542426347732544},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5382665395736694},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5341234803199768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5183902382850647},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43433523178100586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41578975319862366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08428898453712463},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/eusipco.2015.7362550","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.sabanciuniv.edu:28864","is_oa":false,"landing_page_url":"https://research.sabanciuniv.edu/id/eprint/28864/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402254","display_name":"Sabanci University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I134235054","host_organization_name":"Sabanc\u0131 \u00dcniversitesi","host_organization_lineage":["https://openalex.org/I134235054"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1968939597","https://openalex.org/W1983133367","https://openalex.org/W2001987918","https://openalex.org/W2099904336","https://openalex.org/W2127851351","https://openalex.org/W2128653836","https://openalex.org/W2135029798","https://openalex.org/W2144404214","https://openalex.org/W2144739192","https://openalex.org/W2146544734","https://openalex.org/W2151484683","https://openalex.org/W2153894152","https://openalex.org/W2158291955","https://openalex.org/W2395107641","https://openalex.org/W6680012447","https://openalex.org/W6683202405"],"related_works":["https://openalex.org/W2551137307","https://openalex.org/W2113526703","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2123043102","https://openalex.org/W2098101267","https://openalex.org/W2577807713"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,86],"novel":[4],"approach":[5],"for":[6],"denoising":[7,102],"single-channel":[8],"noisy":[9,47],"speech":[10,13],"signals.":[11],"A":[12],"dictionary":[14,80,89],"and":[15,60,74,104],"multiple":[16],"noise":[17,35,59,68,79,88],"dictionaries":[18,57],"are":[19],"trained":[20,56],"using":[21,51,75,85],"nonnegative":[22],"matrix":[23],"factorization":[24],"(NMF).":[25],"After":[26],"observing":[27],"the":[28,32,37,46,54,67,71,76,91,112],"mixed":[29,38,72],"signal,":[30],"first":[31],"type":[33,69],"of":[34,45,58],"in":[36,90,114],"signal":[39,48,73],"is":[40,49],"identified.":[41],"The":[42],"magnitude":[43],"spectrogram":[44],"decomposed":[50],"NMF":[52,92],"with":[53,99],"concatenated":[55],"speech.":[61],"Our":[62],"results":[63,83],"indicate":[64],"that":[65,106],"recognizing":[66],"from":[70],"corresponding":[77],"specific":[78],"provides":[81],"better":[82,109],"than":[84,111],"general":[87],"approach.":[93],"We":[94],"also":[95],"compare":[96],"our":[97],"algorithm":[98],"other":[100],"state-of-the-art":[101],"methods":[103],"show":[105],"it":[107],"has":[108],"performance":[110],"competitors":[113],"most":[115],"cases.":[116]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
