{"id":"https://openalex.org/W2160608664","doi":"https://doi.org/10.1109/icdsp.2011.6004894","title":"A scalable frequency domain-based linear convolution architecture for speech enhancement","display_name":"A scalable frequency domain-based linear convolution architecture for speech enhancement","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2160608664","doi":"https://doi.org/10.1109/icdsp.2011.6004894","mag":"2160608664"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2011.6004894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","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/A5078099526","display_name":"Christelle Yemdji","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christelle Yemdji","raw_affiliation_strings":["Eurecom Institute, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eurecom Institute, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057272414","display_name":"Moctar I. Mossi","orcid":null},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Moctar I. Mossi","raw_affiliation_strings":["Eurecom Institute, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eurecom Institute, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicholas Evans","raw_affiliation_strings":["Eurecom Institute, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eurecom Institute, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001027351","display_name":"Christophe Beaugeant","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christophe Beaugeant","raw_affiliation_strings":["Intel Mobile Communications, Sophia-Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Mobile Communications, Sophia-Antipolis, France","institution_ids":[]}]}],"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":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7153282165527344},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.69752037525177},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6870146989822388},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5552720427513123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5493228435516357},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.538886547088623},{"id":"https://openalex.org/keywords/overlap\u2013add-method","display_name":"Overlap\u2013add method","score":0.46788591146469116},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4360056519508362},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4277825653553009},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4261147379875183},{"id":"https://openalex.org/keywords/circular-convolution","display_name":"Circular convolution","score":0.4145791828632355},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.41073065996170044},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3663867115974426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23410147428512573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15999987721443176},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.10102817416191101},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07996267080307007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7153282165527344},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.69752037525177},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6870146989822388},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5552720427513123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5493228435516357},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.538886547088623},{"id":"https://openalex.org/C181002996","wikidata":"https://www.wikidata.org/wiki/Q1611641","display_name":"Overlap\u2013add method","level":5,"score":0.46788591146469116},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4360056519508362},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4277825653553009},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4261147379875183},{"id":"https://openalex.org/C194980680","wikidata":"https://www.wikidata.org/wiki/Q245450","display_name":"Circular convolution","level":5,"score":0.4145791828632355},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.41073065996170044},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3663867115974426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23410147428512573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15999987721443176},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.10102817416191101},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07996267080307007},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2011.6004894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2011.6004894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 17th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:fr.eurecom:3386","is_oa":false,"landing_page_url":"http://www.eurecom.fr/publication/3386","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"DSP 2011, 17th International Conference on Digital Signal Processing, July 6-8, 2011, Corfu, Greece","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W48610814","https://openalex.org/W87496662","https://openalex.org/W1492221128","https://openalex.org/W2003990527","https://openalex.org/W2062461584","https://openalex.org/W2102448443","https://openalex.org/W2114855817","https://openalex.org/W2478884216","https://openalex.org/W6675245999"],"related_works":["https://openalex.org/W4372260258","https://openalex.org/W2133280289","https://openalex.org/W3106959200","https://openalex.org/W2267589039","https://openalex.org/W2382152453","https://openalex.org/W2759540840","https://openalex.org/W2385700956","https://openalex.org/W2126886659","https://openalex.org/W2143803328","https://openalex.org/W2361284596"],"abstract_inverted_index":{"Most":[0],"speech":[1,134],"enhancement":[2],"algorithms":[3],"consist":[4],"of":[5,20,99,111],"a":[6,85],"time-varying":[7],"filter":[8],"which":[9,122],"is":[10,36,56,94,123],"applied":[11],"to":[12,30,37,64,73,119,125],"the":[13,16,21,26,33,39,44,52,68,97,112],"signal":[14],"in":[15,25,32,43,67,103,115,133],"frequency":[17,27,45,69,106],"domain.":[18],"One":[19],"motivations":[22],"for":[23,77],"filtering":[24],"domain":[28,35],"compared":[29],"convolution":[31,54,66],"time":[34,104],"reduce":[38],"computational":[40,127],"complexity.":[41],"Filtering":[42],"domain,":[46,70],"however,":[47],"can":[48],"introduce":[49],"distortion":[50],"if":[51],"linear":[53,65],"condition":[55],"not":[57],"fulfilled.":[58],"Although":[59],"there":[60],"are":[61],"standard":[62],"approaches":[63],"they":[71],"tend":[72],"be":[74],"computationally":[75],"prohibitive":[76],"small":[78],"terminals.":[79],"In":[80],"this":[81,116],"paper,":[82],"we":[83],"present":[84],"new":[86],"and":[87,101,105],"more":[88],"efficient":[89],"approach.":[90],"The":[91],"proposed":[92,114],"approach":[93,113],"derived":[95],"from":[96],"equivalence":[98],"zero-padding":[100],"interpolation":[102],"domains.":[107],"A":[108],"distinct":[109],"advantage":[110],"paper":[117],"relates":[118],"its":[120],"scalability":[121],"exploited":[124],"manage":[126],"complexity":[128],"with":[129],"only":[130],"moderate":[131],"degradation":[132],"quality.":[135]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
