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!
A tam deuh holh database cu miphun pakhat deuh siloah <articleLink> pa le misifak </articleLink> deuh holh hi a thleidan tawn . Buukhat rak nekmi le thleidan mi pawl aw-cawi le holh kha tling tein an aiawh lo. Cun, computer nih nu nih chimmi aw hi a fian a harh tawn. Hi ruangah kan aw databases ah aw-cawi le holh phunkip kan duh.