{"id":"https://openalex.org/W2534983781","doi":"https://doi.org/10.1109/iwaenc.2016.7602931","title":"Statistical analysis and improvement of coherent-to-diffuse power ratio estimators for dereverberation","display_name":"Statistical analysis and improvement of coherent-to-diffuse power ratio estimators for dereverberation","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2534983781","doi":"https://doi.org/10.1109/iwaenc.2016.7602931","mag":"2534983781"},"language":"en","primary_location":{"id":"doi:10.1109/iwaenc.2016.7602931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","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/A5070266277","display_name":"Chengshi Zheng","orcid":"https://orcid.org/0000-0001-5656-994X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["CN","DE"],"is_corresponding":true,"raw_author_name":"Chengshi Zheng","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany","Key Laboratory of Noise and Vibration Research, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]},{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711527","display_name":"Xiaodong Li","orcid":"https://orcid.org/0000-0002-4170-0076"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Li","raw_affiliation_strings":["Key Laboratory of Noise and Vibration Research, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Noise and Vibration Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015722753","display_name":"Andreas Schwarz","orcid":"https://orcid.org/0000-0001-5484-3976"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Schwarz","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068787682","display_name":"Walter Kellermann","orcid":"https://orcid.org/0000-0002-6501-3174"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Walter Kellermann","raw_affiliation_strings":["Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Multimedia Communications and Signal Processing, Friedrich-Alexander-Universitat Erlangen-Ntirnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070266277"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.2522,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.54519471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9993000030517578,"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":0.9987999796867371,"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":0.8930604457855225},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6225592494010925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6093915700912476},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48177310824394226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.42363011837005615},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4104112386703491},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3212478756904602},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2834455966949463}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8930604457855225},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6225592494010925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093915700912476},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48177310824394226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.42363011837005615},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4104112386703491},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3212478756904602},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2834455966949463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwaenc.2016.7602931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwaenc.2016.7602931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W151468754","https://openalex.org/W1512562331","https://openalex.org/W1605063613","https://openalex.org/W1676084775","https://openalex.org/W2009587140","https://openalex.org/W2030486566","https://openalex.org/W2035095314","https://openalex.org/W2048981179","https://openalex.org/W2062289269","https://openalex.org/W2080145918","https://openalex.org/W2091270830","https://openalex.org/W2091696547","https://openalex.org/W2102072896","https://openalex.org/W2104695149","https://openalex.org/W2107992675","https://openalex.org/W2110322414","https://openalex.org/W2122171611","https://openalex.org/W2123328964","https://openalex.org/W2127180234","https://openalex.org/W2161784349","https://openalex.org/W2166547995","https://openalex.org/W2188162373","https://openalex.org/W2568428461","https://openalex.org/W2911394281","https://openalex.org/W3124056356","https://openalex.org/W4210849719","https://openalex.org/W4296927107","https://openalex.org/W6686978693"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4281634296","https://openalex.org/W3122602933","https://openalex.org/W2950038056","https://openalex.org/W1544940847","https://openalex.org/W2289285490"],"abstract_inverted_index":{"Dereverberation":[0],"methods":[1],"based":[2],"on":[3,31,97,103],"coherent-to-diffuse":[4],"power":[5],"ratio":[6],"(CDR)":[7],"estimates":[8],"exploit":[9],"the":[10,21,24,32,35,45,60,63,66,71,75,82,85,92,115,118,134,146],"spatial":[11,67,119,136],"properties":[12],"of":[13,23,34,44,47,62,65,77,84,117],"signals":[14],"to":[15,113,141],"suppress":[16],"late":[17],"reverberation":[18],"components.":[19],"Naturally,":[20],"quality":[22,33],"CDR":[25,49,79,100,142],"estimate":[26,69],"has":[27,87,94],"a":[28,41,52,109],"major":[29,72],"effect":[30],"dereverberated":[36],"signals.":[37],"This":[38],"paper":[39],"presents":[40],"statistical":[42],"study":[43,57],"performance":[46,127],"state-of-the-art":[48],"estimators":[50,101],"under":[51],"Gaussian":[53],"signal":[54],"model.":[55],"The":[56],"reveals":[58],"that":[59,125],"variance":[61,83,93,116],"magnitude":[64],"coherence":[68,120,137],"is":[70,139],"cause":[73],"for":[74,131,145],"degradation":[76],"known":[78],"estimators,":[80,143],"while":[81],"phase":[86],"only":[88],"limited":[89],"impact.":[90],"Moreover,":[91],"more":[95],"impact":[96],"direction-of-arrival":[98],"(DOA)-independent":[99],"than":[102],"DOA-dependent":[104],"estimators.":[105,148],"Accordingly,":[106],"we":[107],"propose":[108],"cepstrum":[110],"thresholding":[111],"technique":[112],"reduce":[114],"estimate.":[121],"Experimental":[122],"results":[123],"show":[124],"better":[126],"can":[128],"be":[129],"achieved":[130],"dereverberation":[132],"when":[133],"proposed":[135],"method":[138],"applied":[140],"especially":[144],"DOA-independent":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
