Applying CycleGAN voice conversion to convert emotional speech to neutral tone reduces an emotion classifier's accuracy by roughly 96% on the RAVDESS dataset, at the cost of a 35% word error rate.
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Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants
Applying CycleGAN voice conversion to convert emotional speech to neutral tone reduces an emotion classifier's accuracy by roughly 96% on the RAVDESS dataset, at the cost of a 35% word error rate.