Most speech databases are trained with an overrepresentation of certain demographics which results in a bias towards <articleLink>male and middle class</articleLink>. Accents and dialects that tend to be under-represented in training data sets are typically associated with groups of people who are already marginalised. Many machines also struggle to understand female voices. This is why in our voice database we want variety!
Databasese z'amaloboozi ezisinga zitendekeddwa n'obungi bw'amaloboozi ag'ekikula ekimu ekivaamu okusosola eri <articleLink>abasajja n'ab'enfuna entono</articleLink>. Enjogera n'enjawulo mu nnimi ezitakiikiriddwa nnyo mu dataset z'okutendeka kyekuusa nnyo ku bibinja by'abantu abanyigirizibwa. Ebyuma bingi nabyo bifuna obuzibu okutegeera amaloboozi g'abakazi. ¶ Y'ensonga lwaki twetaaga amaloboozi ag'enjawulo mu database yaffe!