<translate> Most speech databases are trained with an overrepresentation of certain demographics which results in a bias towards male and middle class. 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! <nso>Bontši bja dathabeise di eteletšwa go bontšha palo e feteletšego ya palo ya batho e sekametšego go lebana le banna le maemo a magareng. Mmolelo le mebolelwana ao a atišago go sekametšego go emelwa ka tlase go di datha sete di eteletšwe gantši di tswalaganywago le dihlopha tša batho bao ba šetšego ba boeletšwe ka thoko. Metšene e mentši le yona e thatafalelwa go kwešiša mantšu a basadi. Ke kamoo polokelong ya rena ya lentšu re nyakang mehuta e fapa-fapanego! 