In connection with Sam Karimian-Azari\u2019s Ph.D. defense, the two distinguished external assessment committee members will each give a talk on Wednesday September 28. The talks will take place in room 4.513 at 10:00-12:00.<\/p>\n
\u00a0<\/strong><\/p>\n Title: Plenacoustic Processing and the Ray Space Transform<\/strong><\/p>\n Speaker<\/strong>: Prof. Augusto Sarti<\/p>\n Abstract:<\/strong> The\u00a0literature of acoustic signal processing tends to rely on divide-and-conquer strategies derived\u00a0from Fourier Acoustics, therefore it tends to inherit the limits that\u00a0such a representation entails, in\u00a0terms of resolution, frequency and far-field operation.\u00a0Are there\u00a0viable alternatives\u00a0to this choice? In this talk I will first discuss\u00a0what we can do with Plane-Wave Decomposition (PWD) and the related ray-based representation. \u00a0I will then\u00a0introduce the ray space and show how this can help overcoming the inherent limitations of such signal decomposition\/processing tools. We\u00a0will see, however, that more advantages come with rethinking our analysis approach and, in particular, our\u00a0signal decomposition strategy. This we do by\u00a0introducing a novel wave-field decomposition methodology based on Gabor frames, which is more suitable for\u00a0local (in the space-time domain) representations. Based on this new framework for\u00a0computational acoustics, I will introduce the ray-space transform\u00a0and\u00a0show how it can be\u00a0used for efficiently and effectively approaching a far wider range of problems,\u00a0ranging from simple source separation; to environment\u00a0shape inference; to swift\u00a0object-based manipulation of acoustic wavefields.<\/p>\n <\/p>\n Title: Audio source separation: Challenges and recent advances<\/strong><\/p>\n Speaker<\/strong>: Prof. Roland Badeau<\/p>\n Abstract:<\/strong> The classical problem of blind source separation (BSS) consists in recovering a number of unknown “source” signals from the observation of several “mixture” signals, by only assuming that the source signals are mutually independent. Independent component analysis (ICA) is a classical approach for solving this problem, when the mixture is linear instantaneous and (over-)determined. However, in the field of audio source separation, several challenging issues remain: for instance, the mixture is convolutive because of reverberation, and it is often under-determined and time-varying; source signals are non-stationary, and they often overlap in the time-frequency domain. Therefore audio source separation cannot be performed without exploiting some a priori knowledge about the source signals and about the mixture. In this talk, I will present some past and current investigations carried out at Telecom ParisTech to address these issues. Various parametric and probabilistic models will be introduced, that permit to exploit the information available about the source signals and about the mixtures. An application to score-based separation of musical sources will be presented.<\/p>\n","protected":false},"excerpt":{"rendered":" In connection with Sam Karimian-Azari\u2019s Ph.D. defense, the two distinguished external assessment committee members will each give a talk on Wednesday September 28. The talks will take place in room 4.513 at 10:00-12:00. \u00a0 Title: Plenacoustic Processing and the Ray Space Transform Speaker: Prof. Augusto Sarti Abstract: The\u00a0literature of acoustic signal processing tends to rely […]<\/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-657","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\/657","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=657"}],"version-history":[{"count":3,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts\/657\/revisions"}],"predecessor-version":[{"id":660,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=\/wp\/v2\/posts\/657\/revisions\/660"}],"wp:attachment":[{"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/audio.create.aau.dk\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}