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!
Kebanyakan data wicara dilatih dengan representasi demografis tertentu yang terlalu berlebihan akan mengakibatkan bias terhadap <articleLink> pria dan kelas menengah </articleLink>. Aksen dan dialek yang cenderung kurang terwakili dalam set data pelatihan biasanya dikaitkan dengan kelompok orang yang sudah terpinggirkan. Banyak mesin juga kesulitan memahami suara wanita. Inilah sebabnya mengapa di data suara kami, kami menginginkan banyak variasi!