The paper introduces a subjective-objective evaluation framework using Best Worst Scaling and a novel dual-reference distributional measure to better assess intelligibility versus speaker identity trade-offs in TTS voice reconstruction.
Automatic cross- and multi-lingual recognition of dysphonia by ensemble classification using deep speaker embedding models,
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An Evaluation Framework for Text-to-Speech Voice Reconstruction
The paper introduces a subjective-objective evaluation framework using Best Worst Scaling and a novel dual-reference distributional measure to better assess intelligibility versus speaker identity trade-offs in TTS voice reconstruction.