Precise-Community-Data/android/en/models/README.md
2020-12-15 07:47:09 +00:00

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# 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