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This repository has been archived by the owner on Dec 1, 2021. It is now read-only.
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.
The text was updated successfully, but these errors were encountered:
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.
The text was updated successfully, but these errors were encountered: