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 vocal es trainate con un excesso de certe gruppos demographic, resultante in un prejudicio verso <articleLink>homines de classe medie</articleLink>. Accentos e dialectos que tende a esser subrepresentate in le trainamento de collectiones de datos es typicamente associate con gruppos de personas jam marginalisate. Multe machinas ha difficultate a comprender voces feminin. Ecce proque in nostre base de datos vocal nos vole varietate!