Rethinking Automated Voice Similarity by Shifting from EER to Embedding Geometry
By establishing a human perceptual alignment metric and conducting systematic analysis, it is demonstrated that perceptual alignment is governed far more by how a model is trained (its learning objective) than by how well it performs (EER).