# Falcon Binding for Python
## Falcon Speaker Diarization Engine
Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)
Falcon is an on-device speaker diarization engine. Falcon is:
- Private; All voice processing runs locally.
- Cross-Platform:
- Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64)
- Raspberry Pi (3, 4, 5)
## Compatibility
- Python 3.9+
- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).
## Installation
```console
pip3 install pvfalcon
```
## AccessKey
Falcon requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Falcon SDKs.
You can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.
Signup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.
### Usage
Create an instance of the engine and perform speaker diarization on an audio file:
```python
import pvfalcon
handle = pvfalcon.create(access_key='${ACCESS_KEY}')
segments = handle.process_file('${AUDIO_PATH}')
for segment in segments:
print("{speaker tag=%d - start_sec=%.2f end_sec=%.2f}"
% (segment.speaker_tag, segment.start_sec, segment.end_sec))
```
Replace `${ACCESS_KEY}` with yours obtained from [Picovoice Console](https://console.picovoice.ai/) and
`${AUDIO_PATH}` to the path an audio file. Finally, when done be sure to explicitly release the resources using
`handle.delete()`.
## Demos
[pvfalcondemo](https://pypi.org/project/pvfalcondemo/) provides command-line utilities for processing audio using
Falcon.
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"description": "# Falcon Binding for Python\n\n## Falcon Speaker Diarization Engine\n\nMade in Vancouver, Canada by [Picovoice](https://picovoice.ai)\n\nFalcon is an on-device speaker diarization engine. Falcon is:\n\n- Private; All voice processing runs locally.\n- Cross-Platform:\n - Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64)\n - Raspberry Pi (3, 4, 5)\n\n## Compatibility\n\n- Python 3.9+\n- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64, arm64), and Raspberry Pi (3, 4, 5).\n\n## Installation\n\n```console\npip3 install pvfalcon\n```\n\n## AccessKey\n\nFalcon requires a valid Picovoice `AccessKey` at initialization. `AccessKey` acts as your credentials when using Falcon SDKs.\nYou can get your `AccessKey` for free. Make sure to keep your `AccessKey` secret.\nSignup or Login to [Picovoice Console](https://console.picovoice.ai/) to get your `AccessKey`.\n\n### Usage\n\nCreate an instance of the engine and perform speaker diarization on an audio file:\n\n```python\nimport pvfalcon\n\nhandle = pvfalcon.create(access_key='${ACCESS_KEY}')\n\nsegments = handle.process_file('${AUDIO_PATH}')\nfor segment in segments:\n print(\"{speaker tag=%d - start_sec=%.2f end_sec=%.2f}\" \n % (segment.speaker_tag, segment.start_sec, segment.end_sec))\n```\n\nReplace `${ACCESS_KEY}` with yours obtained from [Picovoice Console](https://console.picovoice.ai/) and\n`${AUDIO_PATH}` to the path an audio file. Finally, when done be sure to explicitly release the resources using\n`handle.delete()`.\n\n## Demos\n\n[pvfalcondemo](https://pypi.org/project/pvfalcondemo/) provides command-line utilities for processing audio using\nFalcon.\n",
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