<translate> Most speech databases are trained with an overrepresentation of certain demographics which results in a bias towards male and middle class. 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! <yor>Púpọ àwọn àká-ọrọ afọ ni wọn kọ pẹlú àpọjù àwọn àbùdá ìdánimọ kan tí àbájáde rẹ sì pọn sẹyìn akọ àti kòlàkòsagbe. Èwọhùn tàbí èdè àdúgbò tí ó ṣe é ṣe kí wọn má ní asojú nínú àwọn data ti a sàmúlò ló jẹ pé wọn jẹ ọwọ àwọn ènìyàn tí à ti tẹrì. Ọpọ ẹrọ ni ó ń làkàkà láti dá ohùn obìnrin mọ.Ìdí nìyí tí ó fi jẹ pé nínú àká-ọrọ wa, a fẹ àmúlùmọlà! 