{"id":"https://openalex.org/W1986301630","doi":"https://doi.org/10.1109/tasl.2013.2258013","title":"Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition","display_name":"Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition","publication_year":2013,"publication_date":"2013-04-12","ids":{"openalex":"https://openalex.org/W1986301630","doi":"https://doi.org/10.1109/tasl.2013.2258013","mag":"1986301630"},"language":"en","primary_location":{"id":"doi:10.1109/tasl.2013.2258013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2013.2258013","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5034723709","display_name":"Volker Leutnant","orcid":null},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Volker Leutnant","raw_affiliation_strings":["Department of Communications Engineering, University of Paderborn, Paderborn, Germany","[Department of Communication Engineering, University of Paderborn, Paderborn, Germany]"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]},{"raw_affiliation_string":"[Department of Communication Engineering, University of Paderborn, Paderborn, Germany]","institution_ids":["https://openalex.org/I206945453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110001022","display_name":"Alexander Krueger","orcid":"https://orcid.org/0009-0004-5229-8264"},"institutions":[{"id":"https://openalex.org/I2929663463","display_name":"Technicolor (Germany)","ror":"https://ror.org/00besvm65","country_code":"DE","type":"company","lineage":["https://openalex.org/I2929663463","https://openalex.org/I4210121266"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Krueger","raw_affiliation_strings":["Technicolor Research and Innovation, Audio and Acoustics Laboratory, Hanover, Germany","Technicolor Res. & Innovation, Audio & Acoust. Lab., Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Technicolor Research and Innovation, Audio and Acoustics Laboratory, Hanover, Germany","institution_ids":["https://openalex.org/I2929663463"]},{"raw_affiliation_string":"Technicolor Res. & Innovation, Audio & Acoust. Lab., Hannover, Germany","institution_ids":["https://openalex.org/I2929663463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082075598","display_name":"Reinhold Haeb\u2010Umbach","orcid":"https://orcid.org/0000-0001-9468-7330"},"institutions":[{"id":"https://openalex.org/I206945453","display_name":"Paderborn University","ror":"https://ror.org/058kzsd48","country_code":"DE","type":"education","lineage":["https://openalex.org/I206945453"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Reinhold Haeb-Umbach","raw_affiliation_strings":["Department of Communications Engineering, University of Paderborn, Paderborn, Germany","[Department of Communication Engineering, University of Paderborn, Paderborn, Germany]"],"affiliations":[{"raw_affiliation_string":"Department of Communications Engineering, University of Paderborn, Paderborn, Germany","institution_ids":["https://openalex.org/I206945453"]},{"raw_affiliation_string":"[Department of Communication Engineering, University of Paderborn, Paderborn, Germany]","institution_ids":["https://openalex.org/I206945453"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034723709"],"corresponding_institution_ids":["https://openalex.org/I206945453"],"apc_list":null,"apc_paid":null,"fwci":2.5725,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.89645431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"21","issue":"8","first_page":"1640","last_page":"1652"},"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":0.9991999864578247,"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":0.9962000250816345,"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/word-error-rate","display_name":"Word error rate","score":0.7140147686004639},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.6697591543197632},{"id":"https://openalex.org/keywords/reverberation","display_name":"Reverberation","score":0.6560770273208618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.62470543384552},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5574355125427246},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5126065611839294},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4919140338897705},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4842836260795593},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.45446884632110596},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4431607723236084},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4116447865962982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39012113213539124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24374684691429138},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11940985918045044},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.09864616394042969},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09303241968154907}],"concepts":[{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.7140147686004639},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.6697591543197632},{"id":"https://openalex.org/C95851461","wikidata":"https://www.wikidata.org/wiki/Q468809","display_name":"Reverberation","level":2,"score":0.6560770273208618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.62470543384552},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5574355125427246},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5126065611839294},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4919140338897705},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4842836260795593},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.45446884632110596},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4431607723236084},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4116447865962982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39012113213539124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24374684691429138},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11940985918045044},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.09864616394042969},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09303241968154907},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tasl.2013.2258013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tasl.2013.2258013","pdf_url":null,"source":{"id":"https://openalex.org/S199497470","display_name":"IEEE Transactions on Audio Speech and Language Processing","issn_l":"1558-7916","issn":["1558-7916","1558-7924"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.337.7748","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.337.7748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W943204654","https://openalex.org/W1488706289","https://openalex.org/W1531532259","https://openalex.org/W1991053228","https://openalex.org/W2006783645","https://openalex.org/W2009106392","https://openalex.org/W2014378975","https://openalex.org/W2082316069","https://openalex.org/W2085151728","https://openalex.org/W2105317065","https://openalex.org/W2117397690","https://openalex.org/W2117518720","https://openalex.org/W2124616659","https://openalex.org/W2126597753","https://openalex.org/W2130722890","https://openalex.org/W2132054610","https://openalex.org/W2137248633","https://openalex.org/W2147166770","https://openalex.org/W2147706354","https://openalex.org/W2152131029","https://openalex.org/W2170222430","https://openalex.org/W2238582461","https://openalex.org/W2489311264","https://openalex.org/W2490695385","https://openalex.org/W6629024266","https://openalex.org/W6671446068"],"related_works":["https://openalex.org/W1656519308","https://openalex.org/W2042717753","https://openalex.org/W2022849831","https://openalex.org/W2037265366","https://openalex.org/W2026603686","https://openalex.org/W2331622705","https://openalex.org/W2391832549","https://openalex.org/W1499578372","https://openalex.org/W2401089611","https://openalex.org/W2360887461"],"abstract_inverted_index":{"In":[0],"this":[1],"contribution":[2],"we":[3],"extend":[4],"a":[5,47,55,67,81,99,124,135,143,149],"previously":[6],"proposed":[7,34,92],"Bayesian":[8],"approach":[9,167],"for":[10,20],"the":[11,26,51,54,61,70,74,85,91,114,117,163,166],"enhancement":[12],"of":[13,29,50,53,60,69,84,90,116,165],"reverberant":[14,108,150],"logarithmic":[15],"mel":[16],"power":[17],"spectral":[18],"coefficients":[19],"robust":[21],"automatic":[22],"speech":[23,63],"recognition":[24,102],"to":[25,123,134],"additional":[27],"compensation":[28],"background":[30],"noise.":[31],"A":[32,154],"recently":[33],"observation":[35,41,86,119],"model":[36,121],"is":[37,94,111],"employed":[38],"whose":[39],"time-variant":[40,118],"error":[42,120,126,157],"statistics":[43],"are":[44,77],"obtained":[45,161],"as":[46],"side":[48],"product":[49],"inference":[52],"posteriori":[56],"probability":[57],"density":[58],"function":[59],"clean":[62],"feature":[64],"vectors.":[65],"Further":[66,138],"reduction":[68,128,159],"computational":[71],"effort":[72],"and":[73,151],"memory":[75],"requirements":[76],"achieved":[78],"by":[79],"using":[80],"recursive":[82],"formulation":[83],"model.":[87,137],"The":[88],"performance":[89],"algorithms":[93],"first":[95],"experimentally":[96],"studied":[97],"on":[98,142,168],"connected":[100],"digits":[101],"task":[103,146],"with":[104],"artificially":[105],"created":[106],"noisy":[107,152],"data.":[109,170],"It":[110],"shown":[112],"that":[113],"use":[115],"leads":[122],"significant":[125,155],"rate":[127,158],"at":[129],"low":[130],"signal-to-noise":[131],"ratios":[132],"compared":[133],"time-invariant":[136],"experiments":[139],"were":[140],"conducted":[141],"5000":[144],"word":[145,156],"recorded":[147],"in":[148],"environment.":[153],"was":[160],"demonstrating":[162],"effectiveness":[164],"real-world":[169]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}