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Author

Ismail Karakaya

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Conference Jul 2026

Data Saturation in Low-Resource TTS Fine-Tuning

When fine-tuning large language models, the assumption is that more data means better results. This principle is often extended to text-to-speech (TTS) fine-tuning, yet remains underexplored, particularly for low-resource languages where high-quality data is difficult to obtain. In this work, the "more data is better"...

Doruk Berke Yurtsizoğlu, Ismail Karakaya, Serdar Kalaycı et al. · 0 citations

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