Based on conversations with @abdulhaim and others, we have realized that it is important to know the gender of the person reciting each recordings to protect gender-based privacy during evaluation (see https://github.com/Tarteel-io/tarteel.io/issues/179).
However, only a small fraction of the recordings have a gender associated with them, because providing demographic information is optional. We can potentially overcome this issue by training a gender-identification model to provide tentative gender labels for our recordings.
Based on conversations with @abdulhaim and others, we have realized that it is important to know the gender of the person reciting each recordings to protect gender-based privacy during evaluation (see https://github.com/Tarteel-io/tarteel.io/issues/179).
However, only a small fraction of the recordings have a gender associated with them, because providing demographic information is optional. We can potentially overcome this issue by training a gender-identification model to provide tentative gender labels for our recordings.