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A TensorFlow based wake word detection training framework using synthetic sample generation suitable for certain microcontrollers.
pip install pymicro-wakeword
PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3,>=2pymicro-wakeword publishes 5 wheels and 1 source archive for version 2.4.1. Wheel platform tags: macosx_15_0_universal2, manylinux_2_35_aarch64, manylinux_2_35_armv7l, manylinux_2_35_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.8, 3.9.
PyPI lists 8 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .