Included are several example scripts demonstrating the usage of openWakeWord. Some of these examples have specific requirements, which are detailed below.
This is a simple example which allows you to test openWakeWord by using a locally connected microphone. To run the script, follow these steps:
-
Install the example-specific requirements:
pip install pyaudio -
Run the script:
python detect_from_microphone.py.
Note that if you have more than one microphone connected to your system, you may need to adjust the PyAudio configuration in the script to select the appropriate input device.
This script is designed to run in the background and capture activations for the included pre-trained models. You can specify the initialization arguments, activation threshold, and output directory for the saved audio files for each activation. To run the script, follow these steps:
- Install the example-specific requirements:
# On Linux
pip install pyaudio scipy
# On Windows
pip install PyAudioWPatch scipy
- Run the script:
python capture_activations.py --threshold 0.5 --output_dir <my_dir> --model <my_model>
Where --output_dir is the desired location to save the activation clips, and --model is the model name or full path of the model to use.
If --model is not provided, all of the default models will be loaded. Use python capture_activations.py --help for more information on all of the possible arguments.
Note that if you have more than one microphone connected to your system, you may need to adjust the PyAudio configuration in the script to select the appropriate input device.
This is a script that estimates how many openWakeWord models could be run on on the specified number of cores for the current system. Can be useful to determine if a given system has the resources required for a particular use-case.
To run the script: python benchmark_efficiency.py --ncores <desired integer number of cores>