{"id":"https://openalex.org/W4296069272","doi":"https://doi.org/10.21437/interspeech.2022-10251","title":"Multi-View Attention Transfer for Efficient Speech Enhancement","display_name":"Multi-View Attention Transfer for Efficient Speech Enhancement","publication_year":2022,"publication_date":"2022-09-16","ids":{"openalex":"https://openalex.org/W4296069272","doi":"https://doi.org/10.21437/interspeech.2022-10251"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2022-10251","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-10251","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Interspeech 2022","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/A5001866594","display_name":"Woo-Seok Shin","orcid":"https://orcid.org/0000-0002-8475-4795"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Wooseok Shin","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103110752","display_name":"Hyun Joon Park","orcid":"https://orcid.org/0000-0002-5308-6675"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Joon Park","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013238068","display_name":"Jin Sob Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin Sob Kim","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402394","display_name":"Byung Hoon Lee","orcid":"https://orcid.org/0000-0002-1548-5691"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung Hoon Lee","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024995454","display_name":"Sung Won Han","orcid":"https://orcid.org/0000-0002-0040-3542"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Won Han","raw_affiliation_strings":["School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Industrial and Management Engineering, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001866594"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.2289,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81958926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1198","last_page":"1202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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":0.9994999766349792,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.8216249942779541},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6828323602676392},{"id":"https://openalex.org/keywords/flops","display_name":"FLOPS","score":0.5659149885177612},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.56470787525177},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5604981780052185},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5387903451919556},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5313518643379211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5100589394569397},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4963546395301819},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46875762939453125},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4652830958366394},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4496236741542816},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4365880489349365},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4111018776893616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3957176208496094},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.24182739853858948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08277618885040283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07718563079833984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216249942779541},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6828323602676392},{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.5659149885177612},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.56470787525177},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5604981780052185},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5387903451919556},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5313518643379211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100589394569397},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4963546395301819},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46875762939453125},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4652830958366394},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4496236741542816},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4365880489349365},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4111018776893616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3957176208496094},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.24182739853858948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08277618885040283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07718563079833984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21437/interspeech.2022-10251","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2022-10251","pdf_url":null,"source":{"id":"https://openalex.org/S4363604309","display_name":"Interspeech 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Interspeech 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W2141998673","https://openalex.org/W2144404214","https://openalex.org/W2508418541","https://openalex.org/W2561238782","https://openalex.org/W2757519008","https://openalex.org/W2889442120","https://openalex.org/W2938357656","https://openalex.org/W2949558265","https://openalex.org/W2963534679","https://openalex.org/W2963864497","https://openalex.org/W2972384212","https://openalex.org/W2972548957","https://openalex.org/W2982242214","https://openalex.org/W2998161426","https://openalex.org/W3031505850","https://openalex.org/W3083146453","https://openalex.org/W3094199623","https://openalex.org/W3096518646","https://openalex.org/W3097906045","https://openalex.org/W3097945073","https://openalex.org/W3101327063","https://openalex.org/W3113290170","https://openalex.org/W3134191546","https://openalex.org/W3161950572","https://openalex.org/W3163341049","https://openalex.org/W3201382970","https://openalex.org/W4225309689","https://openalex.org/W4287236406"],"related_works":["https://openalex.org/W4382323155","https://openalex.org/W4315697128","https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2987774938","https://openalex.org/W2566006169","https://openalex.org/W3205506801","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2971502891"],"abstract_inverted_index":{"Recent":[0],"deep":[1,120],"learning":[2],"models":[3,71,112],"have":[4],"achieved":[5,136],"high":[6],"performance":[7,25,109],"in":[8,51,72],"speech":[9,32,48,69],"enhancement;":[10],"however,":[11],"it":[12],"is":[13],"still":[14],"challenging":[15],"to":[16,66,91,148],"obtain":[17,67],"a":[18,63,130],"fast":[19],"and":[20,119,138,142],"low-complexity":[21],"model":[22,132,151],"without":[23,95],"significant":[24],"degradation.":[26],"Previous":[27],"knowledge":[28,86],"distillation":[29,42],"studies":[30],"on":[31,77,116],"enhancement":[33,49,70],"could":[34],"not":[35,45],"solve":[36],"this":[37,55],"problem":[38],"because":[39],"their":[40],"output":[41],"methods":[43],"do":[44],"fit":[46],"the":[47,73,78,88,92,103,108,117,149],"task":[50],"some":[52],"aspects.":[53],"In":[54],"study,":[56],"we":[57],"propose":[58],"multi-view":[59,79,85],"attention":[60],"transfer":[61],"(MV-AT),":[62],"feature-based":[64],"distillation,":[65],"efficient":[68,134],"time":[74],"domain.":[75],"Based":[76],"features":[80],"extraction":[81],"model,":[82],"MV-AT":[83],"transfers":[84],"of":[87,110,113],"teacher":[89],"network":[90,94],"student":[93,111],"additional":[96],"parameters.":[97],"The":[98],"experimental":[99],"results":[100],"show":[101],"that":[102],"proposed":[104,128],"method":[105],"consistently":[106],"improved":[107],"various":[114],"sizes":[115],"Valentini":[118],"noise":[121],"suppression":[122],"(DNS)":[123],"datasets.":[124],"MANNER-S-8.1GF":[125],"with":[126,152],"our":[127],"method,":[129],"lightweight":[131],"for":[133],"deployment,":[135],"15.4x":[137],"4.71x":[139],"fewer":[140],"parameters":[141],"floating-point":[143],"operations":[144],"(FLOPs),":[145],"respectively,":[146],"compared":[147],"baseline":[150],"similar":[153],"performance.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-01-09T23:09:53.351390","created_date":"2025-10-10T00:00:00"}