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!
A ciù parte di database en construti con unna desproporçion demografica à favô de voxe <articleLink>mascce e de classe media</articleLink>. I açenti e i dialetti che pe-o sòlito en pöco representæ son ligæ a-i gruppi de persoñe marginalizzæ. Gh’é ben ben de machine che no en boñe à reconosce e voxe femminile. L’é pe sta raxon chì che voemmo un database con ben ben de diverscitæ!