{"id":26110,"date":"2023-10-02T08:24:53","date_gmt":"2023-10-02T06:24:53","guid":{"rendered":"https:\/\/lium.univ-lemans.fr\/?p=26110"},"modified":"2023-10-02T17:05:12","modified_gmt":"2023-10-02T15:05:12","slug":"martin-lebourdais-2","status":"publish","type":"post","link":"https:\/\/lium.univ-lemans.fr\/en\/martin-lebourdais-2\/","title":{"rendered":"Martin Lebourdais"},"content":{"rendered":"<div class=\"panel-grid\" id=\"pg-26110-0\" ><div class=\"panel-grid-core\"><div class=\"panel-grid-cell\" id=\"pgc-26110-0-0\" ><div class=\"panel-widget-style\" ><h2 style=\"text-align: center;\"><span style=\"color: #e5442d;\">PhD defence,  Martin Lebourdais <\/span><\/h2>\n<p><b>Date : <\/b>17\/10\/2023<br \/>\n<b>Time : <\/b> 9h00<br \/>\n<b>Location : <\/b> Le Mans Universit\u00e9; IC2 buiding Auditorium<br \/>\n&nbsp;<\/p>\n<p><span style=\"font-size: 18pt;\"><strong style=\"color: #e5442d;\">Title :Speaker interactions : from overlapped speech to interruption detection.<\/strong><\/span><br \/>\n&nbsp;<\/p>\n<p><span style=\"color: #e5442d;\"><strong><span style=\"font-size: 14pt;\">Jury members :<\/span><br \/>\n<\/strong><\/span><span style=\"font-size: 12pt;\"><\/p>\n<ul>\n<li><strong>Romain Serizel<\/strong>, MCF HDR, Loria,  <strong>Reviewer <\/strong><\/li>\n<li><strong>Ricard Marxer<\/strong>, Professor, LIS, <strong>Reviewer <\/strong><\/li>\n<li><strong>Martine Adda-Decker<\/strong> Research Director, CNRS, <strong>Examiner <\/strong><\/li>\n<li><strong>Herv\u00e9 Bredin<\/strong> Charg\u00e9 de recherche, CNRS, <strong>Examiner <\/strong><\/li>\n<li><strong>Slim Essid<\/strong>, Professor, Telecom Paris, <strong>Examiner<\/strong><\/li>\n<li><strong>Laetitia Biscarrat<\/strong>, Ma\u00eetresse de conf\u00e9rence, LERASS, <strong>Invited<\/strong><\/li>\n<li><strong>Marie Tahon<\/strong>, Professor, Le Mans Universit\u00e9 LIUM, <strong>Supervisor <\/strong><\/li>\n<li><strong>Antoine Laurent<\/strong>, Professor, Le Mans Universit\u00e9 LIUM, <strong>Co-Supervisor <\/strong><\/li>\n<li><strong>Sylvain Meignier<\/strong> Professor, Le Mans Universit\u00e9 LIUM, <strong>Director of thesis<\/strong><\/li>\n<\/ul>\n<p><\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #e5442d;\"><strong><span style=\"font-size: 14pt;\">Abstract:<br \/>\n<\/span> <\/strong><\/span><\/p>\n<p style=\"text-align: justify;\" align=\"justify\"> The ANR GEM project, initiated by the National Audiovisual Institute, aims to study the differences in treatment and representation between women and men in the media. This project encourages collaboration between research in media and language sciences and research in computer science. One of the project&#8217;s objectives is to promote the creation of automated tools to generalize and facilitate social sciences and humanities studies on large corpora.<\/p>\n<p style=\"text-align: justify;\" align=\"justify\">In this thesis, we will focus on signal processing tools that facilitate the characterization of speaker representations. Specifically, we propose methods to automatically detect and characterize interruptions during conversations from television debate programs. <\/p>\n<p style=\"text-align: justify;\" align=\"justify\">Interruption is a subjective concept with no consensus on its definition. In our field of automatic processing, this task is new, lacks a framework, and has limited resources. We propose, initially, to narrow down the definition of interruptions to the specific case of overlapped speech, following the literature in sociology and language sciences. A tool for detecting the presence of single and multiple speakers&#8217; vocal activity has been developed in this context. Developing such a tool raises questions beyond quantitative evaluation. Several studies have been conducted on the duration and linguistic content of the multi-speaker segments. <\/p>\n<p style=\"text-align: justify;\" align=\"justify\">Subsequently, we specifically focused on interruption detection. Training dedicated neural models required the collection and annotation of a corpus. By guiding the annotators, we arrived at an example-based definition of interruption. Creating such a corpus enabled the development of a binary interruption classification model to characterize the previously detected multi-speaker segments.<\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"color: #e5442d;\"><strong><span style=\"font-size: 14pt;\">Keywords:<br \/>\n<\/span> <\/strong><\/span><\/p>\n<p style=\"text-align: justify;\" align=\"justify\"> Overlapped speech, Speech processing, Artificial intelligence, Interruption.<\/p><\/div><\/div><\/div><\/div><div class=\"panel-grid\" id=\"pg-26110-1\" ><div class=\"panel-grid-core\"><div class=\"panel-grid-cell\" id=\"pgc-26110-1-0\" ><div class=\"panel-widget-style\" ><div class=\"margin10\"><\/div><\/div><\/div><\/div><\/div><div class=\"panel-grid\" id=\"pg-26110-2\" ><div class=\"panel-grid-core\"><div class=\"panel-grid-cell\" id=\"pgc-26110-2-0\" >&nbsp;<\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-2-1\" >&nbsp;<\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-2-2\" >&nbsp;<\/div><\/div><\/div><div class=\"panel-grid\" id=\"pg-26110-3\" ><div class=\"panel-grid-core\"><div class=\"panel-grid-cell\" id=\"pgc-26110-3-0\" ><div class=\"panel-widget-style\" ><div class=\"margin10\"><\/div><\/div><\/div><\/div><\/div><div class=\"panel-grid\" id=\"pg-26110-4\" ><div class=\"panel-grid-core\"><div class=\"panel-grid-cell\" id=\"pgc-26110-4-0\" >&nbsp;<\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-4-1\" ><div class=\"panel-widget-style\" ><p><img src=\"https:\/\/lium.univ-lemans.fr\/wp-content\/uploads\/2020\/12\/logo_LEMANS_UNIVERSITE-01ptFormat.jpg\" alt=\"\" \/ ><\/p><\/div><\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-4-2\" >&nbsp;<\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-4-3\" ><div class=\"panel-widget-style\" ><p><img src=\"https:\/\/lium.univ-lemans.fr\/wp-content\/uploads\/2023\/09\/Mathematiques-STIC-ED.png\" alt=\"\" \/ ><\/p><\/div><\/div><div class=\"panel-grid-cell\" id=\"pgc-26110-4-4\" >&nbsp;<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>PhD defence, Martin Lebourdais Date : 17\/10\/2023 Time : 9h00 Location : Le Mans Universit\u00e9; IC2 buiding Auditorium &nbsp; Title :Speaker interactions : from overlapped speech to interruption detection. &nbsp; Jury members : Romain Serizel, MCF HDR, Loria, Reviewer Ricard Marxer, Professor, LIS, Reviewer Martine Adda-Decker Research Director, CNRS, Examiner Herv\u00e9 Bredin Charg\u00e9 de recherche, [&hellip;]<\/p>\n<p class=\"more-link style2\"><a href=\"https:\/\/lium.univ-lemans.fr\/en\/martin-lebourdais-2\/\"  class=\"themebutton\"><span class=\"more-text\">READ MORE<\/span><span class=\"more-icon\"><i class=\"fa fa-angle-right fa-lg\"><\/i><\/span><\/a><\/p>\n","protected":false},"author":14,"featured_media":13241,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[46,6],"tags":[49],"acf":[],"_links":{"self":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/26110"}],"collection":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/comments?post=26110"}],"version-history":[{"count":0,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/posts\/26110\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media\/13241"}],"wp:attachment":[{"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/media?parent=26110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/categories?post=26110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lium.univ-lemans.fr\/en\/wp-json\/wp\/v2\/tags?post=26110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}