{"id":"https://openalex.org/W2150767552","doi":"https://doi.org/10.1109/icdsp.2002.1028255","title":"Efficient real-time noise estimation without explicit speech, non-speech detection: an assessment on the AURORA corpus","display_name":"Efficient real-time noise estimation without explicit speech, non-speech detection: an assessment on the AURORA corpus","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2150767552","doi":"https://doi.org/10.1109/icdsp.2002.1028255","mag":"2150767552"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2002.1028255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2002.1028255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","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/A5066811192","display_name":"Nicholas Evans","orcid":"https://orcid.org/0000-0002-8459-1041"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]},{"id":"https://openalex.org/I97429440","display_name":"University of Wales","ror":"https://ror.org/01se4f844","country_code":"GB","type":"education","lineage":["https://openalex.org/I97429440"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"N.W.D. Evans","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Wales, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Wales, Swansea, UK","institution_ids":["https://openalex.org/I39586589","https://openalex.org/I97429440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102053866","display_name":"J.S. Mason","orcid":null},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]},{"id":"https://openalex.org/I97429440","display_name":"University of Wales","ror":"https://ror.org/01se4f844","country_code":"GB","type":"education","lineage":["https://openalex.org/I97429440"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"J.S. Mason","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Wales, Swansea, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Wales, Swansea, UK","institution_ids":["https://openalex.org/I39586589","https://openalex.org/I97429440"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062788035","display_name":"Beno\u00eet Fauve","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Fauve","raw_affiliation_strings":["ENSPM, Marseilles, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSPM, Marseilles, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"985","last_page":"988"},"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":0.9997000098228455,"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/T11309","display_name":"Music and Audio Processing","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846023440361023},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7253570556640625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6370296478271484},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5982885956764221},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5893794298171997},{"id":"https://openalex.org/keywords/voice-activity-detection","display_name":"Voice activity detection","score":0.5785014033317566},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5426188111305237},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5138778686523438},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.48322853446006775},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.48009899258613586},{"id":"https://openalex.org/keywords/background-noise","display_name":"Background noise","score":0.45597681403160095},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4540002644062042},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42645666003227234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3153992295265198},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2446492612361908},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11415719985961914},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10074159502983093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0799156129360199},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06373584270477295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846023440361023},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7253570556640625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6370296478271484},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5982885956764221},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5893794298171997},{"id":"https://openalex.org/C204201278","wikidata":"https://www.wikidata.org/wiki/Q1332614","display_name":"Voice activity detection","level":3,"score":0.5785014033317566},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5426188111305237},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5138778686523438},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.48322853446006775},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.48009899258613586},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.45597681403160095},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4540002644062042},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42645666003227234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3153992295265198},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2446492612361908},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11415719985961914},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10074159502983093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0799156129360199},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06373584270477295},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdsp.2002.1028255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2002.1028255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.142.5751","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.142.5751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eegalilee.swan.ac.uk/publications/N.W.D.Evans/dsp2002/dsp2002.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.18.8122","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.18.8122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ftp://eegalilee.swan.ac.uk/pub/Publications/N.W.D.Evans/dsp2002/dsp2002.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W72012584","https://openalex.org/W79317937","https://openalex.org/W109581973","https://openalex.org/W121116918","https://openalex.org/W214562933","https://openalex.org/W289804034","https://openalex.org/W1279245896","https://openalex.org/W1514579201","https://openalex.org/W1537685344","https://openalex.org/W1631909651","https://openalex.org/W2018228148","https://openalex.org/W2029579742","https://openalex.org/W2128653836","https://openalex.org/W2140977001","https://openalex.org/W2149535104","https://openalex.org/W2151484683","https://openalex.org/W2163751836","https://openalex.org/W2164010719","https://openalex.org/W2170120409","https://openalex.org/W4300416747","https://openalex.org/W6602981919","https://openalex.org/W6603280604","https://openalex.org/W6604953115","https://openalex.org/W6610316520"],"related_works":["https://openalex.org/W2120771489","https://openalex.org/W2051376034","https://openalex.org/W2373767407","https://openalex.org/W4375869276","https://openalex.org/W1585241115","https://openalex.org/W2248536413","https://openalex.org/W2383417046","https://openalex.org/W4386336391","https://openalex.org/W3217417050","https://openalex.org/W2187296505"],"abstract_inverted_index":{"This":[0,34],"paper":[1,35],"addresses":[2],"the":[3,16,37,59,62,71,92],"problem":[4],"of":[5,18,39,61,89],"noise":[6,46,63],"estimation":[7,64],"for":[8,25],"speech":[9,13,81],"enhancement":[10],"and":[11,74],"automatic":[12],"recognition.":[14],"In":[15],"context":[17],"mobile":[19],"telephony,":[20],"there":[21],"is":[22,67],"a":[23,40,50],"requirement":[24],"low":[26],"resource":[27],"algorithms":[28],"which":[29],"must":[30],"run":[31],"at":[32],"real-time.":[33],"describes":[36],"implementation":[38],"previously":[41],"published":[42],"approach,":[43],"termed":[44],"quantile-based":[45],"estimation,":[47],"integrated":[48],"within":[49],"conventional":[51],"spectral":[52],"subtraction":[53],"framework.":[54],"The":[55],"novelty":[56],"lies":[57],"in":[58,78],"efficiency":[60],"process.":[65],"Assessment":[66],"carried":[68],"out":[69],"on":[70],"AURORA":[72],"corpus":[73],"demonstrates":[75],"significant":[76],"improvements":[77],"efficiency.":[79],"Automatic":[80],"recognition":[82],"results":[83],"show":[84],"an":[85],"average":[86],"relative":[87],"improvement":[88],"26%":[90],"over":[91],"baseline.":[93]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
