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Document gender-conditioned inference

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@@ -8,14 +8,17 @@ tags:
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  - phonetics
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  - tts
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  - text-to-speech
 
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  pipeline_tag: text-to-speech
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  ---
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  # ReNikud Plus
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- Audio-supervised Hebrew grapheme-to-phoneme (G2P) model. Converts unvocalized Hebrew text to IPA for TTS, speech technology, and spoken-language research.
 
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- Weights are packaged as a self-contained ONNX file (`model.onnx`, ~20 MB) with vocabulary and letter constraints embedded in model metadata.
 
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  ## Benchmark
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@@ -29,14 +32,11 @@ hf download notmax123/RenikudPlus model.onnx --local-dir .
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  ## Usage
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- Install the inference package from the [GitHub repository](https://github.com/maxmelichov/RenikudPlus), then run:
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-
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  ```python
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  from renikud_onnx import G2P
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  g2p = G2P("model.onnx")
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- print(g2p.phonemize("שלום עולם"))
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- # → ʃlˈom ʔolˈam
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  ```
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  ## Citation
 
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  - phonetics
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  - tts
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  - text-to-speech
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+ - gender-conditioned
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  pipeline_tag: text-to-speech
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  ---
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  # ReNikud Plus
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+ Hebrew grapheme-to-phoneme (G2P) model that converts unvocalized text to IPA
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+ for TTS, speech technology, and spoken-language research.
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+ `model.onnx` is a self-contained, INT8 ONNX model. It accepts speaker controls:
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+ `0` for unknown, `1` for male, and `2` for female.
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  ## Benchmark
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  ## Usage
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  ```python
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  from renikud_onnx import G2P
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  g2p = G2P("model.onnx")
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+ print(g2p.phonemize("היא רצה", speaker=2, target_speaker=2))
 
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  ```
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  ## Citation