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KiaBush

KiaBush

persian-text-to-ipa-byt5

Persian (Farsi) grapheme-to-phoneme conversion to the International Phonetic Alphabet (IPA) using a fine-tuned ByT5 model.

模型 / 推理音频 / 语音byt5farsig2pipanlppersian
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README

项目介绍

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Persian Text to International Phonetic Alphabet (IPA)

Python inference and metadata-processing code for converting Persian (Farsi) text into phoneme sequences based on the International Phonetic Alphabet (IPA; Persian: الفبای آوانگاری بین‌المللی). The model is a fine-tuned google/byt5-small checkpoint.

Model weights

The model weights, tokenizer, configuration, and model card are hosted on Hugging Face:

KiaBush/persian-text-to-ipa-byt5

Weights and training data are intentionally not stored in this GitHub repository. The fine-tuning dataset does not have official permission for public redistribution.

Installation

Python 3.10 or newer is recommended.

python -m venv .venv
source .venv/bin/activate  # Windows: .venv\Scripts\activate
python -m pip install -r requirements.txt

Inference

Run the included examples:

python s3_inference.py

Use the model from Python:

from s3_inference import translate, translate_batch

print(translate("گل رز واقعا زیباست."))
print(translate_batch(["سلام دنیا!", "امروز هوا خوب است."]))

The first run downloads the model from Hugging Face. CUDA is used when available; otherwise inference runs on CPU. To use a compatible local checkpoint or another Hub revision, set PERSIAN_G2P_MODEL before importing s3_inference:

PERSIAN_G2P_MODEL=/path/to/model python s3_inference.py

Limitations

  • No official benchmark or evaluation metrics are published for this release.
  • Accuracy may vary for names, loanwords, abbreviations, dialectal spellings, numbers, code-switching, and text outside the training distribution.
  • Persian pronunciation can depend on context and unwritten ezafe.
  • This model is not a forced aligner and does not generate phoneme timestamps.

Authors and contributors

  • Ali Akbar Kiaei — research, model training, engineering, and release
  • Mahnaz Bush — data preparation, model training, evaluation, research, and documentation

License

The code and model artifacts are released under the Apache License 2.0. The fine-tuning dataset is not included and is not distributed under this license.