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dio-piper-fa

Text-to-Speech
ONNX
Persian
piper
persian
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Publish pinned Persian Piper runtime model
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metadata 
license: mit
language:
  - fa
pipeline_tag: text-to-speech
datasets:
  - MahtaFetrat/Mana-TTS
base_model:
  - MahtaFetrat/Mana-Persian-Piper
tags:
  - piper
  - onnx
  - persian

DIO Piper FA

Pinned Persian Piper model used by DIO Voice. This release redistributes the accepted Mana Persian Piper ONNX artifact unchanged; it is not the rejected DIO prosody experiment.

Files

  • fa_IR-dio-piper-fa.onnx: Piper medium ONNX model.
  • fa_IR-dio-piper-fa.onnx.json: Piper voice configuration.
  • sample-fa.mp3: generated Persian sample.
  • SHA256SUMS: release integrity hashes.

Provenance

  • Source model: MahtaFetrat/Mana-Persian-Piper, commit ad9dd8518bedf517bd7cbc9f63b8e5c844bf5bc0.
  • Source model license declared by its model card: MIT.
  • Training dataset: MahtaFetrat/Mana-TTS, declared CC0-1.0.
  • Architecture lineage: Piper / VITS.

The DIO runtime adds a separate context-aware Persian phonemization stage. Its GPL source and exact patches are distributed with the dio-voice source release; those components are not embedded in this model repository.

Use

Load the ONNX file with a compatible Piper runtime and its adjacent JSON configuration. DIO Voice pins this repository by immutable Hub commit and SHA-256; end-user installation does not require Hugging Face CLI or login.

Evaluation and limitations

The artifact passed DIO's synthesis/PCM integration smoke check at 22,050 Hz. No MOS, WER, speaker-similarity, or demographic benchmark is claimed. Persian pronunciation and prosody remain dependent on input normalization and phonemization. See METRICS.md for the release gate and known limits.

The experimental tail-locked checkpoint was excluded because it failed its own prosody separation gate (+0.72 st and +5.62 st/s question-vs-statement tail separation). This repository therefore makes no claim that DIO trained or improved the acoustic weights.

Sample

sample-fa.mp3 says:

ورزش بانوان در نیمی از استان‌های کشور وجود ندارد

Attribution

Model authors and dataset contributors retain their original attribution. DIO Voice packages the pinned artifact for portable inference.