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!
Sözleýiş maglumat bazalarynyň köpüsinde belli bir demografiýanyň aşa köp görkezilmegi bilen taýýarlanylýar, bu bolsa, netijede <articleLink>erkek we orta synpyň</articleLink> tarapgöýlügine sebäp bolýar. Türgenleşdiriş maglumat toplumynda kän bir wekilçilik edilmeýän şiweler we dialektler, adatça, marginallaşdyrylan adamlaryň toparlary bilen baglanyşyklydyr. Köp enjamlar zenan seslerine düşünmekde hem kynçylyk çekýärler. Şonuň üçin hem biz ses maglumat bazamyzda dürlüligi isleýäris!