docs: full model card (ownership, usage, datasets)

README.md

@@ -1,35 +1,27 @@
 ---
-datasets:
-- TigreGotico/tts_vc_mcv-scripted-v23.0_ast_dii
 language:
 - ast
+license: cc-by-nc-nd-4.0
+pipeline_tag: text-to-speech
+datasets:
+- TigreGotico/tts_vc_mcv-scripted-v23.0_ast_dii
 base_model:
 - OpenVoiceOS/phoonnx_gl-ES_dii_unicode
-pipeline_tag: text-to-speech
 tags:
-- vits
 - phoonnx
 - onnx
-- tts
+- vits
+- text-to-speech
+- ast
 ---
 
-# phoonnx\_ast\_dii\_unicode
+# phoonnx_ast_dii_unicode
 
-A text-to-speech voice model for **Asturian (ast)** using the phoonnx VITS
-architecture, exported to ONNX for efficient CPU inference.  The voice
-persona is **Dii** — a female speaker adapted via voice conversion from a
-Galician base model (`phoonnx_gl-ES_dii_unicode`).
+This is a text-to-speech voice model for **Asturian**. The voice is **Dii**, a female voice. It uses the phoonnx VITS architecture with a unicode character-based phonemizer, exported to ONNX for CPU inference. It was built by voice conversion from the base voice `phoonnx_gl-ES_dii_unicode`.
 
-## Training data
-
-Trained on
-[TigreGotico/tts\_vc\_mcv-scripted-v23.0\_ast\_dii](https://huggingface.co/datasets/TigreGotico/tts_vc_mcv-scripted-v23.0_ast_dii),
-a synthetic voice-conversion dataset derived from Mozilla Common Voice
-scripted prompts (release 23.0).  Audio was synthesised with a donor TTS
-voice and then converted to the Dii speaker identity using voice-conversion
-techniques, producing a multi-hour single-speaker corpus for Asturian.
+## How to use
 
-## Usage
+Install [phoonnx](https://github.com/TigreGotico/phoonnx) and run:
 
 ```python
 import wave
@@ -44,7 +36,8 @@ with wave.open("output.wav", "wb") as wav_file:
     voice.synthesize_wav("Bones díes, ¿cómo tas?", wav_file, synthesis_config)
 ```
 
-Or via the OVOS TTS plugin:
+You can also use this model in OVOS with
+[ovos-tts-plugin-phoonnx](https://github.com/OpenVoiceOS/ovos-tts-plugin-phoonnx):
 
 ```json
 {
@@ -57,6 +50,28 @@ Or via the OVOS TTS plugin:
 }
 ```
 
-## License
+## Training data
+
+Trained on [TigreGotico/tts_vc_mcv-scripted-v23.0_ast_dii](https://huggingface.co/datasets/TigreGotico/tts_vc_mcv-scripted-v23.0_ast_dii).
+
+## Related links
+
+- Training-data collection: https://huggingface.co/collections/TigreGotico/synthetic-tts-datasets
+- phoonnx: https://github.com/TigreGotico/phoonnx
+- voiceclonnx: https://github.com/TigreGotico/voiceclonnx
+- TigreGotico: https://tigregotico.pt
+
+## Ownership and licensing
+
+Miro and Dii are the recorded voices of two real people. The voices, the
+training data, and this model belong to TigreGotico Lda
+(https://tigregotico.pt).
+
+This model is licensed under Creative Commons
+Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0). You may use
+and share this model for non-commercial purposes only. Give attribution to
+TigreGotico Lda. Do not modify, adapt, or build new models from this model.
+Do not use the voice identity to create derivative voices.
 
-Apache 2.0
+For commercial use, for derivative models, or for any other license of the
+Miro or Dii voice identity, contact TigreGotico Lda.