An Evaluation Framework for Text-to-Speech Voice Reconstruction
Voice reconstruction using Text-to-Speech (TTS) offers a communication method for people with speech disorders, which aims to retain their speaker identity while improving intelligibility. Previous work generally relies on Mean Opinion Score (MOS) to evaluate naturalness and speaker similarity, but this has limited sensitivity and reliability. We propose an evaluation framework with subjective and objective components. Subjectively, we evaluate perceived intelligibility and speaker identity using Best Worst Scaling (BWS) with situational framing. Objectively, we demonstrate that standard measures fail to predict reconstruction success for highly unintelligible speakers, so we introduce a ...
| Authors | Ariadna Sanchez, Christoph Minixhofer, Korin Richmond et al. |
|---|---|
| Primary category | eess.AS |
| Published | 19 June 2026 |
| Last updated at source | 19 June 2026 |
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