Author

Simon King

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Preprint Sep 2026

Brain2Speech-Net: Fast and Intelligible Brain-to-Speech Synthesis Without Text Decoding

The loss of speech limits communication for individuals with paralysis. Direct neural-to-speech synthesis is challenging due to the limited availability of neural data for training speech brain-computer interfaces. Most existing systems rely on cascaded neural-to-text-to-speech pipelines, which increase inference laten...

Shreeram Suresh Chandra, Ze-Xin Cai, Yu Tsao et al. · 0 citations

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