{"id":"https://openalex.org/W4224919782","doi":"https://doi.org/10.1109/icassp43922.2022.9747111","title":"DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation","display_name":"DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4224919782","doi":"https://doi.org/10.1109/icassp43922.2022.9747111"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747111","doi":"https://doi.org/10.1109/icassp43922.2022.9747111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5063136754","display_name":"Jinjiang Liu","orcid":"https://orcid.org/0000-0002-1543-9193","observed_orcids":["https://orcid.org/0000-0002-1543-9193"]},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjiang Liu","raw_affiliation_strings":["Inner Mongolia University,College of Computer Science,China","College of Computer Science, Inner Mongolia University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Computer Science,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693230","display_name":"Xueliang Zhang","orcid":"https://orcid.org/0000-0002-0406-1105","observed_orcids":["https://orcid.org/0000-0002-0406-1105"]},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Zhang","raw_affiliation_strings":["Inner Mongolia University,College of Computer Science,China","College of Computer Science, Inner Mongolia University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia University,College of Computer Science,China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":3.8667,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95269429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9940999746322632,"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":0.9940999746322632,"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":0.00570000009611249,"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":9.999999747378752e-05,"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/speech-dereverberation","display_name":"speech dereverberation","score":1.0},{"id":"https://openalex.org/keywords/recurrent-convolutional-neural-network","display_name":"recurrent convolutional neural network","score":0.8740000128746033},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"long short-term memory","score":0.8339999914169312},{"id":"https://openalex.org/keywords/computational-cost-reduction","display_name":"computational complexity reduction","score":0.8709999918937683}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.9351729154586792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7724136114120483},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6279445290565491},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5439891219139099},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.45514869689941406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40776491165161133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37460410594940186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08115634322166443},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747111","doi":"https://doi.org/10.1109/icassp43922.2022.9747111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607879","display_name":"IEEE International Conference on Acoustics Speech and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W51526084","https://openalex.org/W1552314771","https://openalex.org/W1983812858","https://openalex.org/W2105592556","https://openalex.org/W2119243469","https://openalex.org/W2150678643","https://openalex.org/W2164502538","https://openalex.org/W2242685705","https://openalex.org/W2288645994","https://openalex.org/W2516001803","https://openalex.org/W2600297185","https://openalex.org/W2609317876","https://openalex.org/W2771725120","https://openalex.org/W2935693977","https://openalex.org/W2937525188","https://openalex.org/W2962935966","https://openalex.org/W2963446712","https://openalex.org/W2991361823","https://openalex.org/W2998161426","https://openalex.org/W3007256793","https://openalex.org/W3015199127","https://openalex.org/W3015679215","https://openalex.org/W3096408984","https://openalex.org/W3120907516","https://openalex.org/W3133191801","https://openalex.org/W3162501355","https://openalex.org/W3198156015","https://openalex.org/W4256245490","https://openalex.org/W6678285305"],"related_works":["https://openalex.org/W4394595534","https://openalex.org/W3214469553","https://openalex.org/W3092992574","https://openalex.org/W2647772669","https://openalex.org/W4312257080","https://openalex.org/W2768848988","https://openalex.org/W2768009545","https://openalex.org/W2796274217","https://openalex.org/W4213197521","https://openalex.org/W4392904314"],"abstract_inverted_index":{"Under":[0],"our":[1],"previous":[2],"work":[3],"on":[4,48,55],"frequency":[5,56],"bin-wise":[6],"independent":[7],"processing,":[8],"a":[9,25,79],"dramatic":[10],"reduction":[11],"of":[12,28,53,102,108,128],"the":[13,40,51,62,87,99,105,116,131],"computational":[14],"complexity":[15],"for":[16,135],"recurrent":[17],"neural":[18,45,73,81],"networks":[19],"(RNN)":[20],"is":[21,33],"achieved.":[22],"So":[23],"that":[24,122],"massive":[26],"deployment":[27],"RNN":[29,54,77],"in":[30,35,61],"time":[31,59],"dimension":[32,57,60],"realized":[34],"this":[36,49],"paper,":[37],"by":[38],"using":[39],"channel-wise":[41],"long":[42],"short-term":[43],"memory":[44],"network.":[46],"Based":[47],"approach,":[50],"processing":[52],"and":[58,76,104,125],"time-frequency":[63],"domain":[64],"are":[65],"unified.":[66],"This":[67],"allows":[68],"us":[69],"to":[70,86],"combine":[71],"convolutional":[72],"network":[74],"(CNN)":[75],"as":[78],"basic":[80],"operator,":[82],"which":[83],"finally":[84],"leads":[85],"Densely":[88],"Connected":[89],"Recurrent":[90],"Convolutional":[91],"Neural":[92],"Network":[93],"(DRC-NET).":[94],"The":[95],"DRC-NET":[96,129],"sufficiently":[97],"exploits":[98],"infinite":[100],"response":[101,107,112],"RNN,":[103],"finite":[106],"CNN.":[109],"Its":[110],"balanced":[111],"characteristics":[113],"significantly":[114],"improve":[115],"system":[117],"performance.":[118],"Experimental":[119],"result":[120],"shows":[121],"both":[123],"non-causal":[124],"causal":[126],"version":[127],"outperforms":[130],"state-of-the-art":[132],"(STOA)":[133],"model":[134],"speech":[136],"dereverberation":[137],"task.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-04-28T00:00:00"}