{"id":1014,"date":"2022-05-07T18:46:02","date_gmt":"2022-05-07T16:46:02","guid":{"rendered":"https:\/\/audio.create.aau.dk\/?p=1014"},"modified":"2022-05-07T18:49:38","modified_gmt":"2022-05-07T16:49:38","slug":"icassp-2022","status":"publish","type":"post","link":"https:\/\/audio.create.aau.dk\/?p=1014","title":{"rendered":"ICASSP 2022"},"content":{"rendered":"\n<p>As always, the Audio Analysis Lab is well-represented with papers and presentations at ICASSP 2022 (https:\/\/2022.ieeeicassp.org\/) which will take place virtually May 7-13, 2022 and physically May 22-27, 2022.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=2815\">AUD-37.4: GENERATION OF PERSONAL SOUND FIELDS IN REVERBERANT ENVIRONMENTS USING INTERFRAME CORRELATION<\/a><\/li><li> <a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=8837\">AUD-25.5: COMPUTATIONALLY EFFICIENT FIXED-FILTER ANC FOR SPEECH BASED ON LONG-TERM PREDICTION FOR HEADPHONE APPLICATIONS<\/a> <\/li><li> <a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=1974\">MLSP-42.2: PRIVACY-PRESERVING DISTRIBUTED EXPECTATION MAXIMIZATION FOR GAUSSIAN MIXTURE MODEL USING SUBSPACE PERTURBATION<\/a> <\/li><li><a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=3971\">AUD-19.4: SPARSE MODELING OF THE EARLY PART OF NOISY ROOM IMPULSE RESPONSES WITH SPARSE BAYESIAN LEARNING<\/a><\/li><li><a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=4012\">AUD-11.4: A BAYESIAN PERMUTATION TRAINING DEEP REPRESETNATION LEARNING METHOD FOR SPEECH ENHANCEMENT WITH VARIATIONAL AUTOENCODER<\/a><\/li><li> <a href=\"https:\/\/2022.ieeeicassp.org\/view_paper.php?PaperNum=3908\">SS-4.5: ROBUST PRESSURE MATCHING WITH ATF PERTURBATION CONSTRAINTS FOR SOUND FIELD CONTROL<\/a> <\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As always, the Audio Analysis Lab is well-represented with papers and presentations at ICASSP 2022 (https:\/\/2022.ieeeicassp.org\/) which will take place virtually May 7-13, 2022 and physically May 22-27, 2022. AUD-37.4: GENERATION OF PERSONAL SOUND FIELDS IN REVERBERANT ENVIRONMENTS USING INTERFRAME CORRELATION AUD-25.5: COMPUTATIONALLY EFFICIENT FIXED-FILTER ANC FOR SPEECH BASED ON LONG-TERM PREDICTION FOR HEADPHONE APPLICATIONS [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1014","post","type-post","status-publish","format-standard","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts\/1014","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1014"}],"version-history":[{"count":2,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts\/1014\/revisions"}],"predecessor-version":[{"id":1016,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts\/1014\/revisions\/1016"}],"wp:attachment":[{"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1014"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1014"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1014"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}