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!
kulupu mute pi toki uta la toki mute li tan <articleLink>jan mije pi mani mute</articleLink>. nasin kalama toki li lon kulupu jan lili la, toki uta lon kulupu ni li mute ala. kin la ilo mute li kute pona ala e toki tan jan meli. ni la mi wile e nasa lon kulupu kalama mi!