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!
Hizketa-teknologia gehienak esparru demografiko zehatz batzuekin, <articleLink>klase ertaineko gizonezkoekin</articleLink>, beste guztiekin baino gehiago trebatzen dira. Ordezkaritza nahikorik gabe geratu ohi diren azentuak eta dialektoak, hain zuzen, dagoeneko marjinaturik dauden giza taldeei dagozkienak izaten dira. Makina askok emakumezkoen ahotsak ere ulertzeko arazoak dituzte. Horregatik nahi dugu aniztasuna gure ahotsen datu-sortan!