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!
Meeste spraakdatabasisse word opgelei met 'n oorverteenwoordiging van sekere demografieë wat lei tot 'n vooroordeel teenoor aksente wat<articleLink> manlik en middelklas</articleLink> is. Aksente en dialekte wat geneig is om onderverteenwoordig te word in die opleiding van datastelle, word tipies geassosieer met groepe mense wat reeds gemarginaliseer word. Baie spraaktegnologieë sukkel ook om vroulike stemme te verstaan. Dit is hoekom ons in ons stemdatabasis verskeidenheid wil hê!