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!
ⴰⵎⴰⵜⴰ ⵏ ⵜⵙⵉⵍⴰⵡⵉⵏ ⵏ ⵉⵙⴼⴽⴰ ⴰⵏⵓⵏⵏⵜ ⵙ ⵢⴰⵏ ⵓⴼⵍⵙⵎⴷⵢⴰ ⵏ ⴽⵔⴰ ⵏ ⵉⵙⴼⴽⴰ ⵉⴷⵉⵎⵓⴳⵔⴰⴼⵉⵢⵏ, ⴰⵢⵏⵏⴰ ⵉⵙⴽⴰⵔⵏ ⴰⵥⵥⴰⵥ ⵙⵉⵡⴰⵍⴰ <articleLink>ⵉⵔⴳⴰⵣⵏ ⴷ ⵜⴰⴳⴳⴰⵢⵜ ⵜⴰⵏⴰⵎⵎⴰⵙⵜ</articleLink>. ⵉⵙⵓⵙⵔⵓⵜⵏ ⴷ ⵜⵏⵜⴰⵍⵉⵡⵉⵏ ⵏⵏⴰ ⴱⴰⵀⵔⴰ ⵜⵜⵉⵍⵉⵏⵉⵏ ⵜⵜⵓⵙⵎⴷⵢⴰⵏ ⵙ ⵜⴷⵔⵙⵉ ⴳ ⵓⵙⴰⵏⵓⵏ ⵏ ⵜⴳⵔⵓⵎⵎⴰⵡⵉⵏ ⵏ ⵉⵙⴼⴽⴰ, ⵍⴰ ⵜⵜⵎⵓⵏⵏ ⵙ ⵓⵎⴰⵜⴰ ⴰⴽⴷ ⵜⵔⵓⴱⴱⴰ ⵏ ⵎⴷⴷⵏ ⵏⵏⴰ ⵓⵏⴼⵏⵉⵏ ⵢⴰⴷ. ⵎⵏⵏⴰⵡⵜ ⵜⵎⴰⵛⵉⵏⵉⵏ ⵍⴰ ⵜⵜⵎⵔⵔⴰⵜⵏ ⴰⵡⴷ ⵃⵎⴰ ⴰⴷ ⵔⵎⵙⵏⵜ ⵉⴳⵕⴹⴰⵏ ⵏ ⵜⵡⵜⵎⵉⵏ. ⴰⵢⴰ ⴰ ⵅⴼ ⵏⵅⵙ ⴰⵎⵢⴰⵏⴰⵡ ⴳ ⵜⵙⵉⵍⴰ ⵏ ⵉⵙⴼⴽⴰ ⵉⴳⵕⴹⴰⵏⵏ ⵏⵏⵖ!