{"id":"https://openalex.org/W2150026426","doi":"https://doi.org/10.1109/icassp.2011.5947389","title":"An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments","display_name":"An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2150026426","doi":"https://doi.org/10.1109/icassp.2011.5947389","mag":"2150026426"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5067149023","display_name":"Jalal Taghia","orcid":"https://orcid.org/0000-0003-2682-0915"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Jalal Taghia","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","KTH Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"KTH Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007791793","display_name":"Jalil Taghia","orcid":"https://orcid.org/0000-0001-8880-1168"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Jalil Taghia","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","KTH Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"KTH Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081426544","display_name":"Nasser Mohammadiha","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]},{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Nasser Mohammadiha","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","KTH Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"KTH Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004094994","display_name":"Jinqiu Sang","orcid":"https://orcid.org/0000-0002-4368-8787"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jinqiu Sang","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010735170","display_name":"V\u00e1clav Bouse","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]},{"id":"https://openalex.org/I4210123192","display_name":"International Audio Laboratories Erlangen","ror":"https://ror.org/02mkz3e80","country_code":"DE","type":"facility","lineage":["https://openalex.org/I181369854","https://openalex.org/I4210123192","https://openalex.org/I4210124274","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vaclav Bouse","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","Siemens Audiologische Technik GmbH, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]},{"raw_affiliation_string":"Siemens Audiologische Technik GmbH, Erlangen, Germany","institution_ids":["https://openalex.org/I1325886976","https://openalex.org/I4210123192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064880163","display_name":"Rainer Martin","orcid":"https://orcid.org/0000-0002-9587-4215"},"institutions":[{"id":"https://openalex.org/I904495901","display_name":"Ruhr University Bochum","ror":"https://ror.org/04tsk2644","country_code":"DE","type":"education","lineage":["https://openalex.org/I904495901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rainer Martin","raw_affiliation_strings":["Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Communication Acoustics, Ruhr Universit\u00e4t Bochum, Bochum, Germany","institution_ids":["https://openalex.org/I904495901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.8971,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98908633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4640","last_page":"4643"},"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/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"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":0.9990000128746033,"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/estimator","display_name":"Estimator","score":0.7833049893379211},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.749040424823761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6090971231460571},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5791342854499817},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5702289342880249},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.530460000038147},{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.4771648943424225},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.475344181060791},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.465621680021286},{"id":"https://openalex.org/keywords/spectral-density-estimation","display_name":"Spectral density estimation","score":0.43136054277420044},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.4282474219799042},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4083539545536041},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29368770122528076},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.2864760160446167},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23811793327331543},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22216340899467468},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17068248987197876},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12972503900527954},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06354537606239319}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7833049893379211},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.749040424823761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6090971231460571},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5791342854499817},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5702289342880249},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.530460000038147},{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.4771648943424225},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.475344181060791},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.465621680021286},{"id":"https://openalex.org/C30049272","wikidata":"https://www.wikidata.org/wiki/Q6555326","display_name":"Spectral density estimation","level":3,"score":0.43136054277420044},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.4282474219799042},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4083539545536041},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29368770122528076},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2864760160446167},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23811793327331543},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22216340899467468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17068248987197876},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12972503900527954},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06354537606239319},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5947389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947389","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W79317937","https://openalex.org/W2080890008","https://openalex.org/W2109427640","https://openalex.org/W2111462246","https://openalex.org/W2121973264","https://openalex.org/W2130813098","https://openalex.org/W2131753991","https://openalex.org/W2134260279","https://openalex.org/W2146324387","https://openalex.org/W2158336491","https://openalex.org/W2164715564","https://openalex.org/W2169147844","https://openalex.org/W3031363333","https://openalex.org/W3127686677","https://openalex.org/W3147539069","https://openalex.org/W6603280604","https://openalex.org/W6676582144","https://openalex.org/W6679369443","https://openalex.org/W6684199065"],"related_works":["https://openalex.org/W1986772939","https://openalex.org/W2037635165","https://openalex.org/W2738829087","https://openalex.org/W2542062716","https://openalex.org/W1505346162","https://openalex.org/W4200562864","https://openalex.org/W2092735486","https://openalex.org/W2156376969","https://openalex.org/W2117416982","https://openalex.org/W2002243964"],"abstract_inverted_index":{"Noise":[0],"power":[1,64],"spectral":[2,65,91],"density":[3,66],"estimation":[4],"is":[5,105,131],"an":[6,49],"important":[7],"component":[8],"of":[9,24,56,89,99,119,125],"speech":[10],"enhancement":[11],"systems":[12],"due":[13],"to":[14,107],"its":[15],"considerable":[16],"effect":[17],"on":[18],"the":[19,22,25,54,84,87,97,100,103,123],"quality":[20],"and":[21,35,60,68],"intelligibility":[23],"enhanced":[26],"speech.":[27],"Recently,":[28],"many":[29],"new":[30],"algorithms":[31],"have":[32],"been":[33,42],"proposed":[34,59],"significant":[36],"progress":[37],"in":[38,72,86,128],"noise":[39,63,126],"tracking":[40],"has":[41],"made.":[43],"In":[44,76],"this":[45,77],"paper,":[46],"we":[47,79],"present":[48],"evaluation":[50],"framework":[51],"for":[52],"measuring":[53],"performance":[55,71,85],"some":[57,61],"recently":[58],"well-known":[62],"estimators":[67,101,127],"compare":[69],"their":[70],"adverse":[73,129],"acoustic":[74],"environments.":[75],"investigation":[78],"do":[80],"not":[81],"only":[82],"consider":[83],"mean":[88],"a":[90,117],"distance":[92],"measure":[93],"but":[94],"also":[95,110],"evaluate":[96],"variance":[98],"as":[102,112],"latter":[104],"related":[106],"undesirable":[108],"fluctuations":[109],"known":[111],"musical":[113],"noise.":[114],"By":[115],"providing":[116],"variety":[118],"different":[120],"non-stationary":[121],"noises,":[122],"robustness":[124],"environments":[130],"examined.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
