Voice conversion during training removes speaker-dialect correlation and yields state-of-the-art cross-domain Arabic dialect identification.
The remarkable performance gain achieved through voice conversion (+34.07% cross-domain) cannot be matched by traditional data augmentation techniques
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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.