{
    "id": 20694,
    "date": "2026-01-22T12:36:03",
    "date_gmt": "2026-01-22T11:36:03",
    "guid": {
        "rendered": "https:\/\/grain-africa.org\/?p=20694"
    },
    "modified": "2026-01-23T16:14:23",
    "modified_gmt": "2026-01-23T15:14:23",
    "slug": "revue-systematique-de-la-litterature-sur-levaluation-et-lattenuation-des-biais-dans-les-modeles-de-reconnaissance-vocale-automatique-pour-les-langues-africaines-a-faibles-ressources",
    "status": "publish",
    "type": "post",
    "link": "https:\/\/grain-africa.org\/fr\/revue-systematique-de-la-litterature-sur-levaluation-et-lattenuation-des-biais-dans-les-modeles-de-reconnaissance-vocale-automatique-pour-les-langues-africaines-a-faibles-ressources\/",
    "title": {
        "rendered": "Revue syst\u00e9matique de la litt\u00e9rature sur l’\u00e9valuation et l’att\u00e9nuation des biais dans les mod\u00e8les de reconnaissance vocale automatique pour les langues africaines \u00e0 faibles ressources"
    },
    "content": {
        "rendered": "<p>Intitul\u00e9e \u00ab Revue syst\u00e9matique de la litt\u00e9rature sur l&#8217;\u00e9valuation et l&#8217;att\u00e9nuation des biais dans les mod\u00e8les de reconnaissance vocale automatique pour les langues africaines \u00e0 faibles ressources \u00bb, cette \u00e9tude met en \u00e9vidence un enjeu majeur de l&#8217;intelligence artificielle inclusive : les biais li\u00e9s au genre, \u00e0 l&#8217;accent, au dialecte et \u00e0 la sous-repr\u00e9sentation linguistique, qui affectent consid\u00e9rablement les performances des technologies vocales en Afrique.<\/p>\n\n\n\n<p>R\u00e9alis\u00e9e par Joyce Nakatumba-Nabende, Sulaiman Kagumire, Caroline Kantono et Peter Nabende (Makerere University, Ouganda), cette \u00e9tude propose une analyse syst\u00e9matique de la litt\u00e9rature scientifique internationale, selon la m\u00e9thodologie PRISMA, afin d\u2019identifier les principaux types de biais et les strat\u00e9gies mises en \u0153uvre pour les \u00e9valuer et les r\u00e9duire.<\/p>\n\n\n\n<p>Les auteurs montrent que, malgr\u00e9 les avanc\u00e9es rapides de l\u2019IA vocale, les langues africaines restent largement sous-repr\u00e9sent\u00e9es dans la recherche. Les biais li\u00e9s au genre, \u00e0 l\u2019accent et au dialecte sont les plus document\u00e9s, tandis que ceux li\u00e9s \u00e0 l\u2019\u00e2ge et \u00e0 l\u2019origine ethnique demeurent presque absents. L\u2019\u00e9tude souligne \u00e9galement que les approches de mitigation restent majoritairement centr\u00e9es sur les donn\u00e9es (diversification, augmentation, transfert), avec un recours encore limit\u00e9 aux m\u00e9thodes avanc\u00e9es d\u2019IA responsable et de fairness-aware modeling.<\/p>\n\n\n\n<p>Cette revue appelle \u00e0 une mobilisation accrue de la recherche, des d\u00e9cideurs et des acteurs technologiques pour d\u00e9velopper des syst\u00e8mes de reconnaissance vocale capables de refl\u00e9ter la diversit\u00e9 linguistique et sociale du continent africain, et garantir que l\u2019innovation num\u00e9rique b\u00e9n\u00e9ficie \u00e0 toutes et \u00e0 tous.<\/p>\n\n\n\n<p><strong>Auteurs : Joyce Nakatumba-Nabende, Sulaiman Kagumire, Caroline Kantono, Peter Nabende<\/strong><\/p>\n\n\n\n<p><strong>Lire l\u2019article complet ci-dessous :<\/strong><\/p>\n\n\n\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/grain-africa.org\/wp-content\/uploads\/2026\/01\/lit-rev.-bias-evaluation-automatic-speech.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Contenu embarqu\u00e9 lit rev. bias evaluation automatic speech.\"><\/object><a id=\"wp-block-file--media-3e167c67-0817-4381-8fa1-ce8d9f151019\" href=\"https:\/\/grain-africa.org\/wp-content\/uploads\/2026\/01\/lit-rev.-bias-evaluation-automatic-speech.pdf\">lit rev. bias evaluation automatic speech<\/a><a href=\"https:\/\/grain-africa.org\/wp-content\/uploads\/2026\/01\/lit-rev.-bias-evaluation-automatic-speech.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-3e167c67-0817-4381-8fa1-ce8d9f151019\">Download<\/a><\/div>\n\n\n\n<p><\/p>\n  <div class=\"related-post grid\">\r\n        <div class=\"headline\">Articles similaires<\/div>\r\n    <div 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