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README.md
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# 🗣️ ssml-text2breaks-fr-lora
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# 🇫🇷 ssml-text2breaks-fr-lora — Symbolic Pause Prediction for French TTS
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**ssml-text2breaks-fr-lora** is a LoRA adapter built on top of `Qwen/Qwen2.5-7B`, trained to predict **symbolic pause markers** (e.g., `#250`, `#500`) in raw French text. These symbolic tags indicate appropriate prosodic boundaries for speech synthesis systems.
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This model is the **first stage** in the cascaded pipeline presented in:
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- **Batch Size**: 1 (with gradient accumulation)
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- **Learning Rate**: 3e-4
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## License
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This model is released under the Apache 2.0 license, same as the base Qwen2.5-7B model.
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# 🗣️ ssml-text2breaks-fr-lora
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**ssml-text2breaks-fr-lora** is a LoRA adapter built on top of `Qwen/Qwen2.5-7B`, trained to predict **symbolic pause markers** (e.g., `#250`, `#500`) in raw French text. These symbolic tags indicate appropriate prosodic boundaries for speech synthesis systems.
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This model is the **first stage** in the cascaded pipeline presented in:
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- **Batch Size**: 1 (with gradient accumulation)
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- **Learning Rate**: 3e-4
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## Citation
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If you use this model in your research, please cite:
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```text
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@misc{ould-ouali2025improving,
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title={Improving Synthetic Speech Quality via SSML Prosody Control},
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author={Ould-Ouali, Nassima and Sani, Awais and Horstmann, Tim Luka and Dauvet, Jonah and Bueno, Ruben and Moulines, Eric},
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year={2025}
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}
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```
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## License
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This model is released under the Apache 2.0 license, same as the base Qwen2.5-7B model.
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