### Installing py-webrtcvad with pip

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This command demonstrates how to install the py-webrtcvad library using the pip package manager. This is the standard way to get the library installed on your system.

```Shell
pip install webrtcvad
```

--------------------------------

### Importing and Initializing WebRTC VAD in Python

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This Python snippet shows how to import the webrtcvad module and create an instance of the Vad class. This is the first step to using the VAD functionality after installation.

```Python
import webrtcvad
vad = webrtcvad.Vad()
```

--------------------------------

### Installing py-webrtcvad for Development with pip

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This command installs the py-webrtcvad package in editable mode along with its development dependencies. This is typically used when contributing to or modifying the library source code.

```Shell
pip install -e ".[dev]"
```

--------------------------------

### Running Unit Tests for py-webrtcvad

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This command executes the unit tests defined for the py-webrtcvad library. It requires the development dependencies to be installed (e.g., using the previous step).

```Shell
python setup.py test
```

--------------------------------

### Checking if an Audio Frame Contains Speech with WebRTC VAD

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This Python example shows how to create a silent audio frame and use the `is_speech` method to check for voice activity. The method requires the audio frame as a bytes object and the sample rate, and it returns True if speech is detected, False otherwise. The VAD only accepts 16-bit mono PCM audio frames of 10, 20, or 30 ms duration at specific sample rates.

```Python
# Run the VAD on 10 ms of silence. The result should be False.
sample_rate = 16000
frame_duration = 10  # ms
frame = b'\x00\x00' * int(sample_rate * frame_duration / 1000)
print 'Contains speech: %s' % (vad.is_speech(frame, sample_rate)
```

--------------------------------

### Setting Aggressiveness Mode for WebRTC VAD

Source: https://github.com/wiseman/py-webrtcvad/blob/master/README.rst

This Python code demonstrates how to set the aggressiveness mode of the VAD object. The mode is an integer from 0 (least aggressive) to 3 (most aggressive) and affects how strongly non-speech is filtered out.

```Python
vad.set_mode(1)
```

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