Tiny, fast and accurate Turkish text to speech. A 5.6M-parameter DiT acoustic model and a 3M-parameter vocoder: 8.6M in total, about 34 MB. Apache 2.0. Figure 1. Text is encoded per letter, placed on a word–letter timeline by a duration predictor, turned into one condition per frame by a windowed aligner, generated as latents in four steps by a DiT, and decoded to 48 kHz audio. Details under Architecture. Every clip below is made with say() at seed 0, straight from the text shown. Model sadece sekiz 8.6 milyon parametre ve çok hızlı. 15 Ekim 2026 Çarşamba günü saat 14:30'da, 1.250.000 TL tutarındaki ödemeniz hesabınıza yatırılacak. Sabahın erken saatlerinde liman henüz uyanmamıştı.…
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Canberk Aslan
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Published tasks: Text to speech.
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