<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! <fuv>Keɓe keftinirkon haala ɓurɗe heewde ko eeltaaɗe tawa won leƴrenndooje ena ɓurtinaa, kisa ɗum wufta e wuuraare faade e worɓe e dañɓe. Ngaddinaaji e caltuɗe ŋakkooje e leeme keɓe eeltugol ena keewi yahdineede e dente yimɓe ɓurɓe joñeede e yeebeede. Kadi masiŋaaji keewi ena cugga e keftingol sawtooji rewɓe.Ko ɗuum waɗi amin cokli limlimtam e diiñorde keɓe sawto amen. 