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.
· Signal Processing and Commun... · 0 citations