{"id":1014,"date":"2022-06-09T09:03:42","date_gmt":"2022-06-09T07:03:42","guid":{"rendered":"https:\/\/web.umons.ac.be\/isia\/?p=1014"},"modified":"2023-06-26T22:10:34","modified_gmt":"2023-06-26T20:10:34","slug":"publication220601","status":"publish","type":"post","link":"https:\/\/web.umons.ac.be\/isia\/en\/publication220601\/","title":{"rendered":"Lo\u00efc Reboursi\u00e8re is presenting a paper at the Sound And Music Computing Conference 2022"},"content":{"rendered":"<p class=\"text-2xl-md-lh u-m-0\"><strong>Date <\/strong>:\u00a0<span lang=\"EN-US\">11\/06\/2022 (Paper Session 8)<\/span><\/p>\n<p><span lang=\"EN-US\"><strong>Link: <\/strong><\/span><a href=\"https:\/\/zenodo.org\/record\/6573698#.YqGLfpDP2DU\">https:\/\/zenodo.org\/record\/6573698#.YqGLfpDP2DU<\/a><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-1009 aligncenter\" src=\"https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-792x1024.png\" alt=\"\" width=\"792\" height=\"1024\" srcset=\"https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-792x1024.png 792w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-232x300.png 232w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-768x993.png 768w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-510x660.png 510w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-30x39.png 30w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-46x60.png 46w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture-360x465.png 360w, https:\/\/web.umons.ac.be\/app\/uploads\/sites\/58\/2022\/06\/thumbnail_picture.png 990w\" sizes=\"auto, (max-width: 792px) 100vw, 792px\" \/><\/p>\n<p><strong>Title<\/strong><\/p>\n<blockquote>\n<h1 class=\"document-title text-2xl-md-lh\"><span lang=\"EN-US\">Guitar Improvisations with Hexaphonic Multieffect (GIHME) Dataset and Practice Analysis<\/span><\/h1>\n<\/blockquote>\n<p><strong>Authors<\/strong><\/p>\n<p><span lang=\"EN-US\">\u00a0Lo\u00efc Reboursi\u00e8re, Thierry Dutoit, Vincent Tiffon<\/span><\/p>\n<p><strong>Abstract<\/strong><\/p>\n<p>This paper presents a novel guitar dataset made out of richtly annotated guitarist improvisations. The annotations gather notes, playing techniques, instrument tuning, audio effect configurations as well as transcription of post improvisation interviews. The dataset gathers ten hours of improvisations and around five hours of interviews. These accompanying data make this dataset suitable for a variety of different research domains : from MIR to improvisation analysis and musicology. The recordings yielded to this dataset were done in the context of an hexaphonic multi-effect pratice study. This hexaphonic multi-effects is meant to work with an hexaphonic guitar (one pickup per string guitar) and grants the player with independant audio effect configurations for each strings. This paper presents the dataset and the experiments it has been gathered from. It also details, based the transcriptions of the interviews, a first analysis of the hexaphonic setup specificities regarding to the guitarists own practices.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Lo\u00efc Reboursi\u00e8re is presenting the paper \u00ab Guitar Improvisations with Hexaphonic Multieffect (GIHME) Dataset and Practice Analysis\u201d,  authored by Lo\u00efc Reboursi\u00e8re, Thierry Dutoit, Vincent Tiffon at the Sound And Music Computing Conference 2022, Saint-\u00c9tienne, France (https:\/\/zenodo.org\/record\/6573698). The paper describes the dataset he recorded during his Phd thesis on hexaphonic guitar and a first practice analysis based on interviews of the guitarists.<\/p>\n","protected":false},"author":233,"featured_media":1015,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12,34],"tags":[],"class_list":["post-1014","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-conferences-and-symposiums","category-research"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lo\u00efc Reboursi\u00e8re is presenting a paper at the Sound And Music Computing Conference 2022 - Service \/ FPMS - Information, Signal, et Intelligence Artificielle<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/web.umons.ac.be\/isia\/en\/publication220601\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Lo\u00efc Reboursi\u00e8re is presenting a paper at the Sound And Music Computing Conference 2022 - Service \/ FPMS - Information, Signal, et Intelligence Artificielle\" \/>\n<meta property=\"og:description\" content=\"Lo\u00efc Reboursi\u00e8re is presenting the paper \u00ab Guitar Improvisations with Hexaphonic Multieffect (GIHME) Dataset and Practice Analysis\u201d, authored by Lo\u00efc Reboursi\u00e8re, Thierry Dutoit, Vincent Tiffon at the Sound And Music Computing Conference 2022, Saint-\u00c9tienne, France (https:\/\/zenodo.org\/record\/6573698). 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