{"id":"https://openalex.org/W4226357460","doi":"https://doi.org/10.1109/lsp.2022.3164359","title":"Time-Variance Aware Dynamic Kernel Generation for Real-Time Acoustic Echo Cancellation","display_name":"Time-Variance Aware Dynamic Kernel Generation for Real-Time Acoustic Echo Cancellation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226357460","doi":"https://doi.org/10.1109/lsp.2022.3164359"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3164359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3164359","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5026859339","display_name":"Chengyu Zheng","orcid":"https://orcid.org/0000-0001-7740-0457"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengyu Zheng","raw_affiliation_strings":["School of Information and Communication Engineering, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071613755","display_name":"Yuan Zhou","orcid":"https://orcid.org/0000-0001-9021-4667"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024977056","display_name":"Xiulian Peng","orcid":"https://orcid.org/0000-0001-8213-4878"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiulian Peng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067423633","display_name":"Yuan Zhang","orcid":"https://orcid.org/0000-0003-3783-7974"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756584","display_name":"Yan Lu","orcid":"https://orcid.org/0000-0001-5383-6424"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Lu","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026859339"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.5949,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62455756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"967","last_page":"971"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/computer-science","display_name":"Computer science","score":0.7991365194320679},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6132414937019348},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.5976635813713074},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5010519027709961},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4840085208415985},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4486958980560303},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.43419912457466125},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43123960494995117},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36722642183303833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33586716651916504},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0921163558959961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991365194320679},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6132414937019348},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.5976635813713074},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5010519027709961},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4840085208415985},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4486958980560303},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.43419912457466125},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43123960494995117},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36722642183303833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33586716651916504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0921163558959961},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3164359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3164359","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320333993","display_name":"Microsoft Research Asia","ror":"https://ror.org/0300m5276"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W48610814","https://openalex.org/W1527054173","https://openalex.org/W1677182931","https://openalex.org/W2053056809","https://openalex.org/W2065804682","https://openalex.org/W2117645067","https://openalex.org/W2117678320","https://openalex.org/W2118867423","https://openalex.org/W2161608096","https://openalex.org/W2181980222","https://openalex.org/W2395657913","https://openalex.org/W2537124029","https://openalex.org/W2776266983","https://openalex.org/W2888860279","https://openalex.org/W2937484199","https://openalex.org/W2953932601","https://openalex.org/W2963189033","https://openalex.org/W2972461400","https://openalex.org/W2973044449","https://openalex.org/W2987188346","https://openalex.org/W3015389285","https://openalex.org/W3028107539","https://openalex.org/W3094648851","https://openalex.org/W3096038883","https://openalex.org/W3096408984","https://openalex.org/W3113290170","https://openalex.org/W3160115460","https://openalex.org/W3163693916","https://openalex.org/W3190027331","https://openalex.org/W3195156220","https://openalex.org/W3197042120","https://openalex.org/W3203083806","https://openalex.org/W4289665794","https://openalex.org/W6638667902","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6778072768"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W2949162897","https://openalex.org/W2061432289","https://openalex.org/W2276571074","https://openalex.org/W4300003799","https://openalex.org/W2158582019","https://openalex.org/W1500087777","https://openalex.org/W1970204757","https://openalex.org/W4214513620","https://openalex.org/W2791548713"],"abstract_inverted_index":{"Time-variant":[0],"factors":[1],"including":[2],"dynamic":[3,51],"delay":[4],"and":[5,32],"varying":[6],"echo":[7,14],"path":[8],"often":[9],"occur":[10],"in":[11,39,119],"real-world":[12],"acoustic":[13],"cancellation":[15],"(AEC)":[16],"applications.":[17],"Current":[18],"end-to-end":[19,67],"deep":[20],"neural":[21],"network":[22],"(DNN)":[23],"based":[24],"methods":[25],"usually":[26],"model":[27,87,114],"the":[28,36,45,70,85,97,109,113,120],"time-variant":[29,46,116],"components":[30],"implicitly":[31],"can":[33,57],"hardly":[34],"handle":[35],"unpredictable":[37],"time-variance":[38],"real-time":[40],"AEC.":[41],"To":[42],"explicitly":[43],"capture":[44],"components,":[47],"we":[48],"propose":[49],"a":[50,61,65,74],"kernel":[52,76],"generation":[53],"(DKG)":[54],"module":[55,72,107],"that":[56,84,105],"be":[58],"introduced":[59],"as":[60],"learnable":[62],"plug-in":[63],"to":[64,78,90,96],"DNN-based":[66],"pipeline.":[68],"Specifically,":[69],"DKG":[71,106],"generates":[73],"convolutional":[75],"regarding":[77],"each":[79],"input":[80,98],"audio":[81],"frame,":[82],"so":[83],"DNN":[86],"is":[88],"able":[89],"dynamically":[91],"adjust":[92],"its":[93],"weights":[94],"according":[95],"signal":[99],"during":[100],"inference.":[101],"Experimental":[102],"results":[103],"verify":[104],"improves":[108],"AEC":[110],"performance":[111],"of":[112],"under":[115],"scenarios,":[117],"especially":[118],"double-talk":[121],"cases.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
