ASV embeddings used to judge whether synthesized speech matches a target speaker mostly encode static spectral traits and miss rhythm, so the authors introduce U3D, a duration-distribution metric for speaker rhythm.
Virtual chara cters are expected to possess unique identities that remain consi stent across time
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Analyzing and Improving Speaker Similarity Assessment for Speech Synthesis
ASV embeddings used to judge whether synthesized speech matches a target speaker mostly encode static spectral traits and miss rhythm, so the authors introduce U3D, a duration-distribution metric for speaker rhythm.