{"id":3009,"date":"2021-07-08T16:02:45","date_gmt":"2021-07-08T14:02:45","guid":{"rendered":"https:\/\/aholab.ehu.eus\/aholab\/?p=3009"},"modified":"2025-06-06T11:44:24","modified_gmt":"2025-06-06T09:44:24","slug":"enriching-disordered-speech","status":"publish","type":"post","link":"https:\/\/aholab.ehu.eus\/aholab\/enriching-disordered-speech\/","title":{"rendered":"2021, Sneha Raman: Oesophageal speech:enrichment and evaluations"},"content":{"rendered":"\n<p><strong>Student: <\/strong>Sneha Raman<\/p>\n\n\n\n<p><strong>Supervisor:<\/strong> Eva Navas Cord\u00f3n and Inma Hern\u00e1ez Rioja<\/p>\n\n\n\n<p><strong>Date:<\/strong> 22-12-2021<\/p>\n\n\n\n<p><strong><u>DESCRIPTION<\/u><\/strong><br>The aim of this project is to use a voice conversion methodology that would enrich alaryngeal speech by improving its intelligibility and maintaining speaker identity. We also propose to measure listening effort and cognitive load using pupillometry, heart rate measurement and EEG, before enrichment and at different stages of enrichment of the speech. The major accomplishments expected are:<br>\u2022 Implementing eigenvoice voice conversion for pathological voices.<br>\u2022 Implementing voice conversion based on deep neural networks.<br>\u2022 Measuring cognitive effort associated with pathological speech as a metric to track the improvement in intelligibility.<\/p>\n\n\n\n<p><\/p>\n\n\n<div class='w3eden'><!-- WPDM Link Template: Default Template -->\n\n<div class=\"link-template-default card mb-2\">\n    <div class=\"card-body\">\n        <div class=\"media\">\n            <div class=\"mr-3 img-48\"><img decoding=\"async\" class=\"wpdm_icon\" alt=\"Icon\" src=\"https:\/\/aholab.ehu.eus\/aholab\/wp-content\/plugins\/download-manager\/assets\/file-type-icons\/pdf.svg\" \/><\/div>\n            <div class=\"media-body\">\n                <h3 class=\"package-title\"><a href='https:\/\/aholab.ehu.eus\/aholab\/download\/sneha-raman-oesophageal-speechenrichment-and-evaluations\/'>Sneha Raman: Oesophageal speech:enrichment and evaluations<\/a><\/h3>\n                <div class=\"text-muted text-small\"><i class=\"fas fa-copy\"><\/i> 1 file(s) <i class=\"fas fa-hdd ml-3\"><\/i> 4.59 MB<\/div>\n            <\/div>\n            <div class=\"ml-3\">\n                <a class='wpdm-download-link download-on-click btn btn-primary ' rel='nofollow' href='#' data-downloadurl=\"https:\/\/aholab.ehu.eus\/aholab\/download\/sneha-raman-oesophageal-speechenrichment-and-evaluations\/?wpdmdl=3258&refresh=69f3ea3f1c0411777592895\">Download<\/a>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Student: Sneha Raman Supervisor: Eva Navas Cord\u00f3n and Inma Hern\u00e1ez Rioja Date: 22-12-2021 DESCRIPTIONThe aim of this project is to use a voice conversion methodology that would enrich alaryngeal speech by improving its intelligibility and maintaining speaker identity. We also propose to measure listening effort and cognitive load using pupillometry, heart rate measurement and EEG,&#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_es_post_content":"","_es_post_name":"","_es_post_excerpt":"","_es_post_title":"","_eu_post_content":"","_eu_post_name":"","_eu_post_excerpt":"","_eu_post_title":"","_en_post_content":"<!-- wp:paragraph -->\n<p><strong>Student: <\/strong>Sneha Raman<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Supervisor:<\/strong> Eva Navas Cord\u00f3n and Inma Hern\u00e1ez Rioja<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong>Date:<\/strong> 22-12-2021<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><strong><u>DESCRIPTION<\/u><\/strong><br>The aim of this project is to use a voice conversion methodology that would enrich alaryngeal speech by improving its intelligibility and maintaining speaker identity. We also propose to measure listening effort and cognitive load using pupillometry, heart rate measurement and EEG, before enrichment and at different stages of enrichment of the speech. The major accomplishments expected are:<br>\u2022 Implementing eigenvoice voice conversion for pathological voices.<br>\u2022 Implementing voice conversion based on deep neural networks.<br>\u2022 Measuring cognitive effort associated with pathological speech as a metric to track the improvement in intelligibility.<\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:paragraph -->\n<p><\/p>\n<!-- \/wp:paragraph -->\n\n<!-- wp:shortcode -->\n[wpdm_package id='3258']\n<!-- \/wp:shortcode -->","_en_post_name":"enriching-disordered-speech","_en_post_excerpt":"","_en_post_title":"2021, Sneha Raman: Oesophageal speech:enrichment and evaluations","edit_language":"en","footnotes":""},"categories":[68],"tags":[],"class_list":["post-3009","post","type-post","status-publish","format-standard","hentry","category-phd-thesis-finished"],"_links":{"self":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/3009","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/comments?post=3009"}],"version-history":[{"count":5,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/3009\/revisions"}],"predecessor-version":[{"id":3837,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/3009\/revisions\/3837"}],"wp:attachment":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/media?parent=3009"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/categories?post=3009"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/tags?post=3009"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}