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!
Kuma kunnafonidilan fanba bɛ dege ni jamanaden hakɛ dɔw jirali ye kojugu min bɛ na ni ɲɛmajɔbaliya ye <articleLink>cɛ ni cɛmancɛla< la