{"id":"https://openalex.org/W4406264769","doi":"https://doi.org/10.1109/icspcc62635.2024.10770377","title":"Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation","display_name":"Plug-and-Play WPE Guided by Deep Spectrum Estimation for Speech Dereverberation","publication_year":2024,"publication_date":"2024-08-19","ids":{"openalex":"https://openalex.org/W4406264769","doi":"https://doi.org/10.1109/icspcc62635.2024.10770377"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc62635.2024.10770377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5100574991","display_name":"Ziye Yang","orcid":"https://orcid.org/0009-0004-1164-7392"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziye Yang","raw_affiliation_strings":["Research and Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332890","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-1550-7328"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["Research and Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076238706","display_name":"C\u00e9dric Richard","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C\u00e9dric Richard","raw_affiliation_strings":["Université Côte d'Azur, CNRS, OCA,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d'Azur, CNRS, OCA,France","institution_ids":["https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100367683","display_name":"Junjie Li","orcid":"https://orcid.org/0009-0004-8450-7112"},"institutions":[{"id":"https://openalex.org/I4210130022","display_name":"Shaanxi Coal Chemical Industry Technology Research Institute","ror":"https://ror.org/03b2atp15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130022"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Li","raw_affiliation_strings":["China Coal Shaanxi Energy & Chemical Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Coal Shaanxi Energy & Chemical Group Co., Ltd","institution_ids":["https://openalex.org/I4210130022"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4171,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6183807,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9983999729156494,"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":0.9983999729156494,"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":0.9613000154495239,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6526918411254883},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5753242373466492}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6526918411254883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5753242373466492}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc62635.2024.10770377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc62635.2024.10770377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Speech":[0],"dereverberation":[1,23],"aims":[2],"to":[3,22,46],"attenuate":[4],"the":[5,11,38,52,92,100,103],"effects":[6],"of":[7,40,54,102],"late-reverberant":[8],"components.":[9],"While":[10],"plug-and-play":[12],"weighted":[13],"prediction":[14],"error":[15],"(PnPWPE)":[16],"method":[17],"represents":[18],"an":[19,66],"innovative":[20],"approach":[21],"with":[24],"exceptional":[25],"performance,":[26],"it":[27],"can":[28],"be":[29],"further":[30],"enhanced":[31,67],"from":[32],"several":[33],"aspects.":[34],"These":[35],"include":[36],"improving":[37],"accuracy":[39],"power":[41],"spectral":[42],"density":[43],"(PSD)":[44],"initialization":[45,74],"enhance":[47],"energy":[48],"normalization":[49],"and":[50,82],"optimizing":[51],"process":[53],"parameter":[55,89],"selection.":[56,96],"To":[57],"address":[58],"these":[59],"areas":[60],"for":[61,88,94],"improvement,":[62],"this":[63,71],"paper":[64],"introduces":[65],"PnPWPE":[68],"framework.":[69],"Within":[70],"framework,":[72],"PSD":[73],"is":[75,86],"supported":[76],"by":[77],"a":[78,83],"deep":[79],"neural":[80],"network,":[81],"dynamic":[84],"strategy":[85],"implemented":[87],"adjustment,":[90],"eliminating":[91],"need":[93],"manual":[95],"Experimental":[97],"findings":[98],"validate":[99],"efficacy":[101],"proposed":[104],"method.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}