Voice conversion during training removes speaker-dialect correlation and yields state-of-the-art cross-domain Arabic dialect identification.
Given an Arabic speech sample x, the goal is to predict the speaker’s dialecty ∈ Y, where Y is a closed set of dialects
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Voice Conversion Improves Cross-Domain Robustness for Spoken Arabic Dialect Identification
Voice conversion during training removes speaker-dialect correlation and yields state-of-the-art cross-domain Arabic dialect identification.