{"id":"https://openalex.org/W2021355302","doi":"https://doi.org/10.1109/icassp.2013.6639114","title":"Speech enhancement using generalized maximum a posteriori spectral amplitude estimator","display_name":"Speech enhancement using generalized maximum a posteriori spectral amplitude estimator","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2021355302","doi":"https://doi.org/10.1109/icassp.2013.6639114","mag":"2021355302"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2013.6639114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"article","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/A5085145993","display_name":"Yu-Cheng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"Yu-Cheng Su","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044008055","display_name":"Yu Tsao","orcid":"https://orcid.org/0000-0001-6956-0418"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I29955533","display_name":"Center for Information Technology","ror":"https://ror.org/03jh5a977","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I29955533"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Yu Tsao","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]},{"raw_affiliation_string":"Res. Center for Inf. Technol. Innovation, Acad. Sinica, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I29955533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087436428","display_name":"Jung-En Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jung-En Wu","raw_affiliation_strings":["Biomedical Engineering Department, Georgia Institute of Technology, Atlanta, GA, USA","Biomed. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Biomed. Eng. Dept., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018345694","display_name":"Fu-Rong Jean","orcid":"https://orcid.org/0000-0003-0940-7969"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Rong Jean","raw_affiliation_strings":["Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan","Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085145993"],"corresponding_institution_ids":["https://openalex.org/I4210086894","https://openalex.org/I29955533"],"apc_list":null,"apc_paid":null,"fwci":2.95576475,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92350937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7467","last_page":"7471"},"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":0.9987000226974487,"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7628375291824341},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.7345777750015259},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7096467614173889},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.6005970239639282},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5766318440437317},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5735944509506226},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5208792686462402},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5021157264709473},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.49389511346817017},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4911353290081024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48218029737472534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46724843978881836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34229475259780884},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.31327491998672485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26888537406921387},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24898794293403625},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.14507383108139038},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10671940445899963}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7628375291824341},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.7345777750015259},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7096467614173889},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.6005970239639282},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5766318440437317},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5735944509506226},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5208792686462402},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5021157264709473},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.49389511346817017},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4911353290081024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48218029737472534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46724843978881836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34229475259780884},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.31327491998672485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26888537406921387},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24898794293403625},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.14507383108139038},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10671940445899963},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2013.6639114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2013.6639114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W79317937","https://openalex.org/W641242542","https://openalex.org/W1488607047","https://openalex.org/W1517348348","https://openalex.org/W1536990986","https://openalex.org/W1552314771","https://openalex.org/W1868815422","https://openalex.org/W1964509438","https://openalex.org/W1966264494","https://openalex.org/W1975301756","https://openalex.org/W1998379075","https://openalex.org/W2040866435","https://openalex.org/W2102004312","https://openalex.org/W2105594594","https://openalex.org/W2109349638","https://openalex.org/W2113131123","https://openalex.org/W2116756305","https://openalex.org/W2121894251","https://openalex.org/W2121973264","https://openalex.org/W2125838338","https://openalex.org/W2130476329","https://openalex.org/W2144404214","https://openalex.org/W2146324387","https://openalex.org/W2147299274","https://openalex.org/W2151484683","https://openalex.org/W2153894152","https://openalex.org/W2158336491","https://openalex.org/W2164007105","https://openalex.org/W2164764235","https://openalex.org/W2169147844","https://openalex.org/W2489547515","https://openalex.org/W2584393883","https://openalex.org/W3147539069","https://openalex.org/W6603280604","https://openalex.org/W6629006327","https://openalex.org/W6630687167","https://openalex.org/W6682194319"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W2361247493","https://openalex.org/W2157330024","https://openalex.org/W1967494390","https://openalex.org/W1998374630","https://openalex.org/W2528250906","https://openalex.org/W3013496002","https://openalex.org/W2465363361","https://openalex.org/W2896820906","https://openalex.org/W1493471768"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,6,45,67,87,152],"generalized":[4],"maximum":[5,144,151],"posteriori":[7,153],"spectral":[8,13,35,130,141,146,154],"amplitude":[9,147,155],"(GMAPA)":[10],"algorithm":[11,21],"to":[12,29,48,70,75,90,98,113,120,182],"restoration":[14,131],"for":[15,34],"speech":[16,55,102,106],"enhancement.":[17],"The":[18,158],"proposed":[19,123],"GMAPA":[20,43,65,124,164,194],"dynamically":[22],"adjusts":[23],"the":[24,31,58,72,93,99,122,196],"scale":[25,47,69,96],"of":[26,101],"prior":[27,94],"information":[28,95],"calculate":[30],"gain":[32,73],"function":[33,74,89],"restoration.":[36],"In":[37],"higher":[38,185],"signal-to-noise":[39],"ratio":[40],"(SNR)":[41],"conditions,":[42,64,178],"adopts":[44],"smaller":[46],"prevent":[49],"overcompensations":[50],"that":[51,163,193],"may":[52],"result":[53],"in":[54,61,175,184],"distortions.":[56],"On":[57],"other":[59],"hand,":[60],"lower":[62,176],"SNR":[63,100,177,186],"uses":[66],"larger":[68],"enable":[71],"more":[76],"effectively":[77],"remove":[78],"noise":[79],"components":[80],"from":[81],"noisy":[82],"speech.":[83],"We":[84],"also":[85,134],"develop":[86],"mapping":[88],"optimally":[91],"determine":[92],"according":[97],"utterances.":[103],"Two":[104],"standardized":[105],"databases,":[107],"Aurora-4":[108],"and":[109,116,150,173],"Aurora-2,":[110],"are":[111,133,137],"used":[112],"conduct":[114],"objective":[115,167],"recognition":[117,190],"evaluations,":[118],"respectively,":[119],"test":[121],"algorithm.":[125],"For":[126],"comparison,":[127],"three":[128,197],"conventional":[129,198],"algorithms":[132,199],"evaluated;":[135],"they":[136],"minimum":[138],"mean-square":[139],"error":[140],"estimator":[142,148,156],"(MMSE),":[143],"likelihood":[145],"(MLSA),":[149],"(MAPA).":[157],"experimental":[159],"results":[160,191],"first":[161],"confirm":[162],"provides":[165],"better":[166],"evaluation":[168],"scores":[169,181],"than":[170],"MMSE,":[171],"MLSA,":[172],"MAPA":[174],"with":[179],"comparable":[180],"MLSA":[183],"conditions.":[187,204],"Moreover,":[188],"our":[189],"indicate":[192],"outperforms":[195],"consistently":[200],"over":[201],"different":[202],"testing":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}