2 papers
cs.CL2026
FreyaTTS: A Compact Tokenizer-Free Flow-Matching Transformer for Turkish-First Speech Synthesis
Ahmet Erdem Pamuk, Ömer Yentür, Ahmet Tunga Bayrak +2
We introduce Freya-TTS, a compact, tokenizer-free, Turkish-first text-to-speech model designed for highly reliable and efficient conversational synthesis. Freya-TTS is a 183.2M-par…
cs.LG2025
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training
Ahmet Erdem Pamuk, Emir Kaan Özdemir, Şuayp Talha Kocabay
Large language models (LLMs) are increasingly trained with classical optimization techniques like AdamW to improve convergence and generalization. However, the mechanisms by which…