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!
Pifò baz done lapawòl yo fòme ak twòp reprezantasyon  nan sèten demografik ki lakòz yon patipri pou <articleLink>klas gason ak klas mwayèn</articleLink>. Aksan ak dyalèk ki gen tandans pou yo pa reprezante nan seri done fòmasyon yo anjeneral ki asosye ak gwoup moun ki deja majinalize. Anpil machin tou ap lite pou konprann vwa fi. Se poutèt sa nan baz done vwa nou an nou vle varyete!