| Antalia-2 Mini |
| Copyright 2026 PatientDesk AI |
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| The code, the text normaliser and the model weights are licensed under the Apache License, |
| Version 2.0 (see LICENSE). |
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| This package includes PatientDesk AI's Turkish text normaliser (antalia_mini/text/normalize.py, |
| antalia_mini/text/foreign.py, antalia_mini/text/data/lexicon.json, antalia_mini/text/data/tr_vocab.json), |
| released under the same licence. Vendored verbatim from turkish-tts commit 3ed2e60 (2026-10-07). |
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| At run time the normaliser uses the CMU Pronouncing Dictionary through the `cmudict` package |
| (Copyright Carnegie Mellon University, BSD 2-Clause licence); it is a dependency, not included here. |
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| The model weights were trained on synthetic speech generated with VoxCPM2 (OpenBMB, Apache-2.0). |
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| The model reimplements published methods: monotonic alignment search (Glow-TTS, Kim et al. 2020; |
| Matcha-TTS, Mehta et al. 2024), flow matching (Lipman et al. 2023), shortcut models (Frans et al. 2024), |
| adaLN-single (PixArt-alpha, Chen et al. 2023), ConvNeXt (Liu et al. 2022), Vocos (Siuzdak 2023), |
| HiFi-GAN's multi-period discriminator (Kong et al. 2020), UnivNet's multi-resolution discriminator |
| (Jang et al. 2021), RoPE (Su et al. 2021), SwiGLU (Shazeer 2020). No code from those projects is included. |
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