README: the plugin downloads models from this repository; Common Voice attribution

README.md

@@ -54,8 +54,10 @@ its own ONNX metadata (`wake_word`, `pretrained_featurizer`, `default_threshold`
 ## Use with OpenVoiceOS
 
 The models run in [ovos-ww-plugin-wakeforge](https://github.com/OpenVoiceOS/ovos-ww-plugin-wakeforge), which
-bundles them together with both WakeHuBERT featurizers, so nothing else is downloaded. Install the plugin and name
-the model in `mycroft.conf`:
+downloads them from this repository on first use, at a pinned revision, checks each file against its `sha256` in
+`models.json`, and keeps them in the Hugging Face cache; the featurizer comes from
+[TigreGotico/wakehubert-tiny](https://huggingface.co/TigreGotico/wakehubert-tiny) the same way. Install the plugin
+and name the model in `mycroft.conf`:
 
 ```bash
 pip install --pre ovos-ww-plugin-wakeforge
@@ -204,4 +206,6 @@ the calibrated scale. The fitted slope and offset are in each model's `calib_a`
 
 Apache-2.0. The featurizer, [TigreGotico/wakehubert-tiny](https://huggingface.co/TigreGotico/wakehubert-tiny), is
 Apache-2.0. The `synthetic-wakeword-*` and `not-wake-words-speech-en` datasets are CC BY 4.0; LibriSpeech is
-CC BY 4.0; AudioSet labels are CC BY 4.0 and its audio comes from YouTube videos under their uploaders' terms.
+CC BY 4.0; AudioSet labels are CC BY 4.0 and its audio comes from YouTube videos under their uploaders' terms. The
+voice-conversion folders of `synthetic-wakeword-computer` and `synthetic-wakeword-hey_mycroft` take their voices from
+Mozilla Common Voice contributors, through the MLCommons Multilingual Spoken Words Corpus (CC BY 4.0).