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Rethinking Automated Voice Similarity by Shifting from EER to Embedding Geometry
Speaker verification (SV) models are commonly assumed to better capture nuances among speaker characteristics as verification accuracy improves, leading to their widespread use as automated proxies for human voice similarity in speech generation tasks. However, by establishing a human perceptual ali
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