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!
大多数语音数据库的语音来源偏重于某一特定人群，造成结果偏向于<articleLink>男性与中产阶级</articleLink>。而在训练数据集中，代表性不足的口音与方言往往会与被边缘化的人群相关联。许多机器也很难理解女性的声音。 这就是为何我们的语音数据库应该海纳百川，收集各种语音！