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docs/docs/configuration/audio_detectors.md
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@ -75,23 +75,23 @@ audio:
### Audio Transcription
Frigate supports fully local audio transcription using either `sherpa-onnx` or OpenAI’s open-source Whisper models via `faster-whisper`. To enable transcription, it is recommended to only configure the features at the global level, and enable it at the individual camera level.
Frigate supports fully local audio transcription using either `sherpa-onnx` or OpenAI’s open-source Whisper models via `faster-whisper`. To enable transcription, enable it in your config. Note that audio detection must also be enabled as described above in order to use audio transcription features.
```yaml
audio_transcription:
enabled: False
enabled: True
device: ...
model_size: ...
```
Enable audio transcription for select cameras at the camera level:
Disable audio transcription for select cameras at the camera level:
```yaml
cameras:
back_yard:
...
audio_transcription:
enabled: True
enabled: False
```
:::note
@ -111,7 +111,6 @@ The optional config parameters that can be set at the global level include:
- **`model_size`**: The size of the model used for live transcription.
- Default: `small`
- This can be `small` or `large`. The `small` setting uses `sherpa-onnx` models that are fast, lightweight, and always run on the CPU but are not as accurate as the `whisper` model.
- The
- This config option applies to **live transcription only**. Recorded `speech` events will always use a different `whisper` model (and can be accelerated for CUDA hardware if available with `device: GPU`).
- **`language`**: Defines the language used by `whisper` to translate `speech` audio events (and live audio only if using the `large` model).
- Default: `en`