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PiperTTS

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PiperTTS (cs, he, hy, nl, sv)

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  1. cs/Piper-TTS-Czech/.gitattributes +35 -0
  2. cs/Piper-TTS-Czech/README.md +50 -0
  3. cs/Piper-TTS-Czech/high/epoch=580-step=221942.ckpt +3 -0
  4. cs/Piper-TTS-Czech/high/model.onnx +3 -0
  5. cs/Piper-TTS-Czech/high/model.onnx.json +504 -0
  6. cs/Piper-TTS-Czech/medium/epoch=9229-step=189260.ckpt +3 -0
  7. cs/Piper-TTS-Czech/medium/model.onnx +3 -0
  8. cs/Piper-TTS-Czech/medium/model.onnx.json +504 -0
  9. cs/Piper-TTS-Czech/source.txt +1 -0
  10. he/piper-medium-heb/.gitattributes +35 -0
  11. he/piper-medium-heb/README.md +18 -0
  12. he/piper-medium-heb/model.config.json +581 -0
  13. he/piper-medium-heb/phonikud-1.0.onnx +3 -0
  14. he/piper-medium-heb/piper_medium_female.onnx +3 -0
  15. he/piper-medium-heb/piper_medium_male.onnx +3 -0
  16. he/piper-medium-heb/source.txt +1 -0
  17. hy/piper-TTS-Armenian/.gitattributes +35 -0
  18. hy/piper-TTS-Armenian/README.md +4 -0
  19. hy/piper-TTS-Armenian/checkpoint/epoch=2338-step=1412960.ckpt +3 -0
  20. hy/piper-TTS-Armenian/checkpoint/epoch=3578-step=2240162.ckpt +3 -0
  21. hy/piper-TTS-Armenian/source.txt +1 -0
  22. hy/piper-TTS-Armenian/v1/hy_AM-gor-medium.onnx +3 -0
  23. hy/piper-TTS-Armenian/v1/hy_AM-gor-medium.onnx.json +497 -0
  24. hy/piper-TTS-Armenian/v3/hy_AM-gor-medium.onnx +3 -0
  25. hy/piper-TTS-Armenian/v3/hy_AM-gor-medium.onnx.json +497 -0
  26. nl/pipertts_nl-NL_dii/.gitattributes +35 -0
  27. nl/pipertts_nl-NL_dii/README.md +9 -0
  28. nl/pipertts_nl-NL_dii/dii_nl-NL.onnx +3 -0
  29. nl/pipertts_nl-NL_dii/dii_nl-NL.onnx.json +503 -0
  30. nl/pipertts_nl-NL_dii/epoch=3953-step=1908622.ckpt +3 -0
  31. nl/pipertts_nl-NL_dii/source.txt +1 -0
  32. nl/pipertts_nl-NL_miro/.gitattributes +35 -0
  33. nl/pipertts_nl-NL_miro/README.md +9 -0
  34. nl/pipertts_nl-NL_miro/epoch=9103-step=1401692.ckpt +3 -0
  35. nl/pipertts_nl-NL_miro/miro_nl-NL.onnx +3 -0
  36. nl/pipertts_nl-NL_miro/miro_nl-NL.onnx.json +503 -0
  37. nl/pipertts_nl-NL_miro/source.txt +1 -0
  38. sv/piper-tts-nst-swedish/.gitattributes +34 -0
  39. sv/piper-tts-nst-swedish/README.md +3 -0
  40. sv/piper-tts-nst-swedish/config.json +409 -0
  41. sv/piper-tts-nst-swedish/epoch=4041-step=1753548.ckpt +3 -0
  42. sv/piper-tts-nst-swedish/source.txt +1 -0
cs/Piper-TTS-Czech/.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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cs/Piper-TTS-Czech/README.md ADDED
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+ ---
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+ datasets:
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+ - Thomcles/Czech-Speech-Monospeaker
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+ language:
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+ - cs
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+ base_model:
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+ - rhasspy/piper-voices
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+ pipeline_tag: text-to-speech
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+ ---
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+
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+ # 🇨🇿 Piper TTS Czech 🇨🇿
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+
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+ - Base model : https://huggingface.co/rhasspy/piper-voices/tree/main/cs/cs_CZ/jirka/medium
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+
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+ - Finetuning dataset : https://huggingface.co/datasets/Thomcles/Czech-Speech-Monospeaker
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+
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+ - Piper Github : https://github.com/OHF-Voice/piper1-gpl/tree/main
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+
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+ <div align="center"><img width="400px" src="https://www.shutterstock.com/image-vector/travel-czech-republic-culture-elements-600nw-2588019031.jpg" alt="Czech-image" /></div>
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+
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+ ---
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+
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+ # Use the model with Python 🐍
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+
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+ ## Install piper with :
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+
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+ ``` sh
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+ pip install piper-tts
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+ ```
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+
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+ ### Install medium quality or high quality model :
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+
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+ Medium (recommended) :
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+ ```
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+ !wget -O cs_medium.onnx https://huggingface.co/Thomcles/Piper-TTS-Czech/resolve/main/medium/model.onnx
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+ !wget -O cs_medium.onnx.json https://huggingface.co/Thomcles/Piper-TTS-Czech/resolve/main/medium/model.onnx.json
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+ ```
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+
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+ ## Python API :
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+
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+ ```
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+ import wave
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+ from piper import PiperVoice
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+
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+ voice = PiperVoice.load("cs_medium.onnx", "cs_medium.onnx.json")
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+ with wave.open("test.wav", "wb") as wav_file:
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+ voice.synthesize_wav("Dobrý den, vítáme vás v našem testu syntézy řeči.", wav_file)
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+ ```
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+
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+ ---
2
+ license: apache-2.0
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+ ---
4
+
5
+ Model Usage and Inference
6
+
7
+ These models are fully general-purpose and can be used for any text-to-speech inference scenario. They are not limited to a specific dataset, domain, or pipeline, and they support flexible integration into existing TTS systems or standalone applications.
8
+ A complete, ready-to-run inference implementation is available here:
9
+
10
+ https://huggingface.co/spaces/thewh1teagle/phonikud-tts
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+
12
+ The referenced Hugging Face Space contains:
13
+ * A working inference demo in the browser.
14
+ * Full inference source code for local execution.
15
+ * Examples showing how to feed text, speaker information, and configuration parameters.
16
+ * Instructions for integrating the model into Python-based TTS workflows.
17
+
18
+ These resources ensure that the models can be executed immediately without additional setup and can serve as a reference for custom deployments, API servers, or production TTS pipelines.
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