Precise-Community-Data/android/en/models/README.md

Android models

EN

android-en-0.3-20201215-jarbas.tar.gz

Trained using a personal dataset, for not wake-word the google-commands dataset, false_activations-20201215.tar.gz, bg_noise-20201215.tar.gz and noises-20190814-elt.tar.gz were used

Training data contained several speakers from various countries and genders, with about 3 samples per speaker, microphone quality and pronounciation varied a lot per speaker

Added to this 64 samples of my own voice collected with mycroft-core during testing of the initial model available at android-20201215-jarbas.tar.gz

=== TrainData ===

• wake_words=114
• not_wake_words=14444
• test_wake_words=38
• test_not_wake_words=14496

=== Test set results ===

• 14513 out of 14533

• 99.86%

• 0.07% false positives

• 26.32% false negatives

• False Positives: 10

• True Negatives: 14485

• False Negatives: 10

• True Positives: 28