<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! <swh>Hifadhidata nyingi za sauti zinafunzwa na uwasilishaji mkubwa wa data inayohusu watu ambayo husababisha upendeleo kuelekea daraja la kiume na la kati. Lafudhi na lahaja ambazo huwa zinawakilishwa chini ya uwasilishaji katika seti za data ya mafunzo kawaida zinahusishwa na vikundi vya watu ambao tayari wametengwa. Mashine nyingi pia zinapambana kuelewa sauti za kike.Hii ndio sababu katika daftari letu tunataka sauti tofauti! 