{"id":"https://openalex.org/W1929548479","doi":"https://doi.org/10.1186/s13636-015-0073-6","title":"Speech enhancement based on Bayesian decision and spectral amplitude estimation","display_name":"Speech enhancement based on Bayesian decision and spectral amplitude estimation","publication_year":2015,"publication_date":"2015-10-07","ids":{"openalex":"https://openalex.org/W1929548479","doi":"https://doi.org/10.1186/s13636-015-0073-6","mag":"1929548479"},"language":"en","primary_location":{"id":"doi:10.1186/s13636-015-0073-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-015-0073-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-015-0073-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-015-0073-6","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101374328","display_name":"Feng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Deng","raw_affiliation_strings":["Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China","Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070475244","display_name":"Changchun Bao","orcid":"https://orcid.org/0000-0002-5606-5343"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Chun Bao","raw_affiliation_strings":["Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China","Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, 100124, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Speech and Audio Signal Processing Lab, School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101374328"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":{"value":1115,"currency":"GBP","value_usd":1367},"apc_paid":{"value":1115,"currency":"GBP","value_usd":1367},"fwci":0.579,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66268657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2015","issue":"1","first_page":null,"last_page":null},"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":0.995199978351593,"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/T13289","display_name":"Infant Health and Development","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3611","display_name":"Pharmacy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6643589735031128},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5870468020439148},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5539787411689758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5358765125274658},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5308004021644592},{"id":"https://openalex.org/keywords/bayes-estimator","display_name":"Bayes estimator","score":0.5039574503898621},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5029796957969666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37874943017959595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3332196772098541},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1757010817527771},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12803006172180176},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08575859665870667}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6643589735031128},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5870468020439148},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5539787411689758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5358765125274658},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5308004021644592},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.5039574503898621},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5029796957969666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37874943017959595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3332196772098541},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1757010817527771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12803006172180176},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08575859665870667},{"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/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13636-015-0073-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-015-0073-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-015-0073-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s13636-015-0073-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13636-015-0073-6","pdf_url":"https://asmp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13636-015-0073-6","source":{"id":"https://openalex.org/S19605986","display_name":"EURASIP Journal on Audio Speech and Music Processing","issn_l":"1687-4714","issn":["1687-4714","1687-4722"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Audio, Speech, and Music Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8399999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5249178904","display_name":null,"funder_award_id":"Grant No. 6","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8134645764","display_name":null,"funder_award_id":"61471014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1929548479.pdf","grobid_xml":"https://content.openalex.org/works/W1929548479.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1495679096","https://openalex.org/W1546892833","https://openalex.org/W1968804468","https://openalex.org/W1974387177","https://openalex.org/W1993393237","https://openalex.org/W1995609724","https://openalex.org/W2011057521","https://openalex.org/W2011818214","https://openalex.org/W2036128014","https://openalex.org/W2069586827","https://openalex.org/W2096588881","https://openalex.org/W2096779346","https://openalex.org/W2101042021","https://openalex.org/W2109744426","https://openalex.org/W2121894251","https://openalex.org/W2121973264","https://openalex.org/W2126942983","https://openalex.org/W2128653836","https://openalex.org/W2146842127","https://openalex.org/W2149441837","https://openalex.org/W2155889651","https://openalex.org/W2157005274","https://openalex.org/W2158185319","https://openalex.org/W2169147844","https://openalex.org/W2403917367","https://openalex.org/W3147539069","https://openalex.org/W4245919820"],"related_works":["https://openalex.org/W2368707535","https://openalex.org/W2352325302","https://openalex.org/W2114728125","https://openalex.org/W2914214844","https://openalex.org/W4220780651","https://openalex.org/W2350447072","https://openalex.org/W2353582415","https://openalex.org/W30733840","https://openalex.org/W2495884403","https://openalex.org/W2039817173"],"abstract_inverted_index":{"In":[0,169],"this":[1],"paper,":[2],"a":[3,57,121,209,217,222],"single-channel":[4],"speech":[5,21,43,46,50,72,91,134,137,156,224],"enhancement":[6],"method":[7,206],"based":[8],"on":[9],"Bayesian":[10,59,81],"decision":[11,95],"and":[12,24,31,45,99,116,136,158,165,183,198,221],"spectral":[13,25,67,102,141,185],"amplitude":[14,26,51,68,103,186],"estimation":[15,27,117],"is":[16,74,97,105],"proposed,":[17],"in":[18,147,190],"which":[19,125],"the":[20,32,40,48,65,70,79,87,93,100,133,140,148,155,178,184,191,204,227],"detection":[22,88,115,164],"module":[23,28],"are":[29,35,53,151],"included,":[30],"two":[33,127,173],"modules":[34],"strongly":[36],"coupled.":[37],"First,":[38],"under":[39],"decisions":[41],"of":[42,90,139],"presence":[44,135],"absence,":[47],"optimal":[49,71,94,101],"estimators":[52],"obtained":[54,66],"by":[55,76,112,162],"minimizing":[56,78],"combined":[58,80,122],"risk":[60,82],"function,":[61,194],"respectively.":[62,143,168,195],"Second,":[63],"using":[64],"estimators,":[69],"detector":[73],"achieved":[75],"further":[77],"function.":[83],"Finally,":[84],"according":[85],"to":[86,153],"results":[89,201],"detector,":[92],"rule":[96],"made":[98],"estimator":[104],"chosen":[106],"for":[107,132,177],"enhancing":[108],"noisy":[109],"speech.":[110],"Furthermore,":[111],"considering":[113],"both":[114],"errors,":[118],"we":[119,171],"propose":[120,172],"cost":[123,145,149,193],"function":[124,150],"incorporates":[126],"general":[128],"weighted":[129,180],"distortion":[130,157],"measures":[131],"absence":[138],"amplitudes,":[142],"The":[144,196],"parameters":[146],"employed":[152],"balance":[154],"residual":[159],"noise":[160],"caused":[161],"missed":[163],"false":[166],"alarm,":[167],"addition,":[170],"adaptive":[174],"calculation":[175],"methods":[176],"perceptual":[179],"order":[181,187],"p":[182],"\u03b2":[188],"concerned":[189],"proposed":[192,205],"objective":[197],"subjective":[199],"test":[200],"indicate":[202],"that":[203],"can":[207],"achieve":[208],"more":[210],"significant":[211],"segmental":[212],"signal-noise":[213],"ratio":[214],"(SNR)":[215],"improvement,":[216],"lower":[218],"log-spectral":[219],"distortion,":[220],"better":[223],"quality":[225],"than":[226],"reference":[228],"methods.":[229]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
