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Antalia-2 Mini is a 7,620,931-parameter single-voice Turkish text-to-speech model whose training audio was generated entirely by VoxCPM2, a teacher roughly 300 times larger, cloning one synthetic reference clip, with about 1,790 hours kept after automatic checks. On the 495 sentences of Freya-TR-Eval it reaches 1.09% WER and 0.220% CER, a paired bootstrap cannot separate it from the 8.6M EMA Lightning, the authors tuned settings on those sentences, and no human listening test exists.

Antalia-2 Mini is a 7,620,931-parameter single-voice Turkish text-to-speech model whose training audio was generated entirely by VoxCPM2, a teacher roughly 300 times larger, cloning one synthetic reference clip, with about 1,790 hours kept after automatic checks. On the 495 sentences of Freya-TR-Eval it reaches 1.09% WER and 0.220% CER, a paired bootstrap cannot separate it from the 8.6M EMA Lightning, the authors tuned settings on those sentences, and no human listening test exists.