Vo-Ve, a 44-dimension vector of voice-attribute probabilities, offers attribute-level explanations for speaker similarity, but its discrimination accuracy and listener-above-chance validation are modest.
To fairly evaluate its potential, we designed a network architecture similar to that of the comparison system
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Vo-Ve: An Explainable Voice-Vector for Speaker Identity Evaluation
Vo-Ve, a 44-dimension vector of voice-attribute probabilities, offers attribute-level explanations for speaker similarity, but its discrimination accuracy and listener-above-chance validation are modest.