{"id":"https://openalex.org/W4376852240","doi":"https://doi.org/10.1145/3573942.3573975","title":"Solving Size and Performance Dilemma by Reversible and Invertible Recurrent Network for Speech Enhancement","display_name":"Solving Size and Performance Dilemma by Reversible and Invertible Recurrent Network for Speech Enhancement","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852240","doi":"https://doi.org/10.1145/3573942.3573975"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3573975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3573975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5102845007","display_name":"Dengfeng Ke","orcid":"https://orcid.org/0000-0001-8459-0412"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dengfeng Ke","raw_affiliation_strings":["Beijing Language and Culture University, China"],"raw_orcid":"https://orcid.org/0000-0001-8459-0412","affiliations":[{"raw_affiliation_string":"Beijing Language and Culture University, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006684220","display_name":"Yanlu Xie","orcid":"https://orcid.org/0000-0001-6765-4808"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlu Xie","raw_affiliation_strings":["Beijing Language and Culture University, China"],"raw_orcid":"https://orcid.org/0000-0001-6765-4808","affiliations":[{"raw_affiliation_string":"Beijing Language and Culture University, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052176517","display_name":"Jinsong Zhang","orcid":"https://orcid.org/0000-0002-1603-3136"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinsong Zhang","raw_affiliation_strings":["Beijing Language and Culture University, China"],"raw_orcid":"https://orcid.org/0000-0002-1603-3136","affiliations":[{"raw_affiliation_string":"Beijing Language and Culture University, China","institution_ids":["https://openalex.org/I115212828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068030070","display_name":"Liangjie Huang","orcid":"https://orcid.org/0000-0003-0770-1582"},"institutions":[{"id":"https://openalex.org/I115212828","display_name":"Beijing Language and Culture University","ror":"https://ror.org/03te2zs36","country_code":"CN","type":"education","lineage":["https://openalex.org/I115212828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangjie Huang","raw_affiliation_strings":["Beijing Language and Culture University, China"],"raw_orcid":"https://orcid.org/0000-0003-0770-1582","affiliations":[{"raw_affiliation_string":"Beijing Language and Culture University, China","institution_ids":["https://openalex.org/I115212828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102845007"],"corresponding_institution_ids":["https://openalex.org/I115212828"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19788192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"956","last_page":"962"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994999766349792,"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":0.9958999752998352,"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/pesq","display_name":"PESQ","score":0.7871204018592834},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.719825267791748},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7077817916870117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6343201398849487},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5070805549621582},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.474393367767334},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4405282735824585},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4300646185874939},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4278075397014618},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4264673888683319},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.37792152166366577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32427138090133667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32373306155204773},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.2921302914619446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24088409543037415},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.19607093930244446},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1292288899421692},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10811004042625427},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10086408257484436}],"concepts":[{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.7871204018592834},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.719825267791748},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7077817916870117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6343201398849487},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5070805549621582},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.474393367767334},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4405282735824585},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4300646185874939},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4278075397014618},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4264673888683319},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.37792152166366577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32427138090133667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32373306155204773},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.2921302914619446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24088409543037415},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.19607093930244446},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1292288899421692},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10811004042625427},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10086408257484436},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3573975","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3573975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2067295501","https://openalex.org/W2069681747","https://openalex.org/W2094721231","https://openalex.org/W2144404214","https://openalex.org/W2157331557","https://openalex.org/W2255466643","https://openalex.org/W2291522532","https://openalex.org/W2291877678","https://openalex.org/W2603567530","https://openalex.org/W3015199127","https://openalex.org/W3016129867","https://openalex.org/W3097945073","https://openalex.org/W3158779859","https://openalex.org/W3162348042","https://openalex.org/W3205770165","https://openalex.org/W3211438798","https://openalex.org/W3213188934","https://openalex.org/W4234389704","https://openalex.org/W4244957079","https://openalex.org/W4285056112","https://openalex.org/W4288391450","https://openalex.org/W4365800035","https://openalex.org/W6606876336","https://openalex.org/W6752910514"],"related_works":["https://openalex.org/W3118578380","https://openalex.org/W4294326507","https://openalex.org/W2144085034","https://openalex.org/W2166153901","https://openalex.org/W2100095452","https://openalex.org/W4309426801","https://openalex.org/W353459356","https://openalex.org/W4366549806","https://openalex.org/W3015579021","https://openalex.org/W2021736397"],"abstract_inverted_index":{"Reducing":[0],"parameter":[1,18,31,149],"numbers":[2,19,32,150],"and":[3,43,67,79,82,125,134,167,187],"improving":[4,26],"system":[5],"performance":[6,23,27,174],"is":[7,13,70,155,210],"considered":[8],"a":[9,41,54,115,135],"dilemma":[10],"problem.":[11],"As":[12],"known":[14],"to":[15,22,30,58,71,107,179,185,191],"all,":[16],"reducing":[17],"will":[20],"lead":[21,29],"degradation,":[24],"while":[25],"often":[28],"increasing.":[33],"To":[34,203],"solve":[35],"the":[36,87,94,123,126,131,139,143,153,173,204,211,215],"above":[37,144],"dilemma,":[38],"we":[39,52,101,113],"propose":[40],"reversible":[42,55,145,166],"invertible":[44,104,168],"recurrent":[45,169],"(RAIR)":[46],"network":[47,95],"in":[48,122,142],"this":[49],"paper:":[50],"Firstly,":[51],"construct":[53],"dual-path":[56,116],"architecture":[57,170],"avoid":[59],"information":[60,98,110],"loss":[61],"for":[62,130,138],"two":[63],"arbitrary":[64],"functions,":[65],"F":[66,78,132],"G.":[68],"That":[69],"say,":[72],"no":[73,83],"matter":[74,84],"what":[75],"kinds":[76],"of":[77,206],"G":[80,140],"are":[81],"how":[85],"small":[86],"model":[88,154,195,213],"is,":[89],"feature":[90],"maps":[91],"go":[92],"through":[93],"without":[96],"any":[97],"loss.":[99],"Secondly,":[100],"adopt":[102],"an":[103],"1x1":[105],"convolution":[106,137],"improve":[108],"channel":[109],"remixing.":[111],"Lastly,":[112],"employ":[114],"recurrences":[117],"(DPR)":[118],"block":[119],"that":[120,164],"operates":[121],"frequency":[124],"time":[127],"dimensions":[128],"separately":[129],"function":[133,141],"3x3":[136],"architecture,":[146],"which":[147],"reduces":[148],"dramatically.":[151],"Although":[152],"tiny,":[156],"experiments":[157],"on":[158],"Voice":[159],"Bank":[160],"+":[161],"DEMAND":[162],"show":[163],"our":[165,207],"improves":[171],"all":[172],"metrics:":[175],"COVL":[176],"from":[177,183,189],"3.57":[178],"3.78,":[180],"wideband":[181],"PESQ":[182],"2.94":[184],"3.15,":[186],"STOI":[188],"0.947":[190],"0.951.":[192],"The":[193],"proposed":[194],"achieves":[196],"state-of-the-art":[197,212],"results":[198],"with":[199,214],"only":[200],"190K":[201],"parameters.":[202],"best":[205],"knowledge,":[208],"it":[209],"smallest":[216],"size.":[217]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
