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G. Henter

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Preprint Aug 2026

Iterative Self-Learning for Expressive Text-to-Speech Synthesis

In the most data-scarce conditions, ISL-trained models outperform single-pass pseudo-labeling and further approach fully supervised performance, demonstrating that gradient-based ISL is an effective solution to expressive label scarcity in low-resource TTS.

Nicholas Sanders, G. Henter, Simon King et al. · 0 citations

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