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!
Le major parte del bases de datos es maestrate con un super-representation de certe datos demographic que resultata in un prejudicio verso <articleLink>le classe masculin e medie</articleLink>.Accentos e dialectos que tende a ser sub-representate in le maestramento del collectiones de datos es typicamente associate con gruppos de personas qui es jam marginalisate. Multe machinas alsi es reluctante a comprender le voces feminin. Isto es perque in nostre base de datos de voces nos vole le varietate!