# VoiceEmbeddingsRecognitionPlugin
The `VoiceEmbeddingsRecognitionPlugin` is a plugin for recognizing and managing voice embeddings.
It uses [Resemblyzer](https://github.com/resemble-ai/Resemblyzer) to extract speaker embeddings and integrates with [ovos-chromadb-embeddings-plugin](https://github.com/TigreGotico/ovos-chromadb-embeddings-plugin) for storing and retrieving voice embeddings.
## Features
- **Voice Embeddings Extraction**: Converts audio data into voice embeddings using the `VoiceEncoder` from `resemblyzer`.
- **Voice Data Storage**: Stores and retrieves voice embeddings using `ChromaEmbeddingsDB`.
- **Voice Data Management**: Allows for adding, querying, and predicting voice embeddings associated with user IDs.
- **Supports Multiple Audio Formats**: Can handle audio data in various formats, including `wav` and `flac`.
## Usage
Here is a quick example of how to use the `VoiceEmbeddingsRecognitionPlugin`:
```python
from ovos_voice_embeddings import VoiceEmbeddingsRecognitionPlugin
from resemblyzer import preprocess_wav
from speech_recognition import Recognizer, AudioFile
from ovos_chromadb_embeddings import ChromaEmbeddingsDB
db = ChromaEmbeddingsDB("./voice_db")
v = VoiceEmbeddingsRecognitionPlugin(db)
a = "/home/miro/PycharmProjects/ovos-user-id/2609-156975-0001.flac"
b = "/home/miro/PycharmProjects/ovos-user-id/qCCWXoCURKY.mp3"
b2 = "/home/miro/PycharmProjects/ovos-user-id/4glfwiMXgwQ.mp3"
with AudioFile(a) as source:
audio = Recognizer().record(source)
v.add_voice("user", audio)
wav = preprocess_wav(b)
v.add_voice("donald", wav)
wav = preprocess_wav(b2)
print(v.predict(wav))
print(v.prompt(wav))
```
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"description": "# VoiceEmbeddingsRecognitionPlugin\n\nThe `VoiceEmbeddingsRecognitionPlugin` is a plugin for recognizing and managing voice embeddings.\n\nIt uses [Resemblyzer](https://github.com/resemble-ai/Resemblyzer) to extract speaker embeddings and integrates with [ovos-chromadb-embeddings-plugin](https://github.com/TigreGotico/ovos-chromadb-embeddings-plugin) for storing and retrieving voice embeddings. \n\n## Features\n\n- **Voice Embeddings Extraction**: Converts audio data into voice embeddings using the `VoiceEncoder` from `resemblyzer`.\n- **Voice Data Storage**: Stores and retrieves voice embeddings using `ChromaEmbeddingsDB`.\n- **Voice Data Management**: Allows for adding, querying, and predicting voice embeddings associated with user IDs.\n- **Supports Multiple Audio Formats**: Can handle audio data in various formats, including `wav` and `flac`.\n\n## Usage\n\nHere is a quick example of how to use the `VoiceEmbeddingsRecognitionPlugin`:\n\n```python\nfrom ovos_voice_embeddings import VoiceEmbeddingsRecognitionPlugin\nfrom resemblyzer import preprocess_wav\nfrom speech_recognition import Recognizer, AudioFile\nfrom ovos_chromadb_embeddings import ChromaEmbeddingsDB\n\ndb = ChromaEmbeddingsDB(\"./voice_db\")\nv = VoiceEmbeddingsRecognitionPlugin(db)\n\na = \"/home/miro/PycharmProjects/ovos-user-id/2609-156975-0001.flac\"\nb = \"/home/miro/PycharmProjects/ovos-user-id/qCCWXoCURKY.mp3\"\nb2 = \"/home/miro/PycharmProjects/ovos-user-id/4glfwiMXgwQ.mp3\"\n\nwith AudioFile(a) as source:\n audio = Recognizer().record(source)\nv.add_voice(\"user\", audio)\n\nwav = preprocess_wav(b)\nv.add_voice(\"donald\", wav)\n\nwav = preprocess_wav(b2)\nprint(v.predict(wav))\nprint(v.prompt(wav))\n\n```\n\n\n\n",
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