A lightweight, simple-to-use, wake word listener, including all the tools to train your own custom wake word using a recurrent neural network.
Mycroft Precise monitors an audio stream (usually a microphone) and when it recognizes a specific phrase it triggers an event. For example, by default users of the Mycroft Voice Assistant are using a Precise model trained to spot the phrase "Hey Mycroft". When Precise recognizes this phrase it puts the Mycroft Voice Assistant into command mode performing speech recognition on whatever is next said by the person using the device.
Mycroft Precise is fully open source and can be trained to recognize any short-phrase or sound, from a name to a cough.
The default "Hey Mycroft" model is included. To try it out, run:
Running the listener
mycroft-precise- Alias for mycroft-precise.engine
mycroft-precise.engine- Run a model on raw audio data from stdin
mycroft-precise.listen- Run a model on microphone audio input
mycroft-precise.listen-pocketsphinx- Run the PocketSphinx listener
mycroft-precise.collect- Record audio samples for use with Precise
mycroft-precise.add-noise- Create a duplicate dataset with added noise
mycroft-precise.train- Train a new model on a dataset
mycroft-precise.train-generated- Train a model on infinitely generated batches
mycroft-precise.train-incremental- Train a model to inhibit activation by marking false activations and retraining
mycroft-precise.train-optimize- Use black box optimization to tune model hyperparameters
mycroft-precise.train-sampled- Train a model, sampling data points with the highest loss from a larger dataset
Evaluation and analysis
mycroft-precise.test- Test a model against a dataset
mycroft-precise.test-pocketsphinx- Test PocketSphinx against a dataset
mycroft-precise.eval- Evaluate a list of models on a dataset
mycroft-precise.calc-threshold- Update the threshold values of a model for a dataset to make the sensitivity more accurate and linear
mycroft-precise.graph- Show ROC curves for a series of models
mycroft-precise.simulate- Simulate listening to long chunks of audio to find unbiased false positive metrics
mycroft-precise.convert- Convert wake-word model from Keras to TensorFlow
Generate an embeddable card to be shared on external websites.
Choose your Linux distribution to get detailed installation instructions. If yours is not shown, get more details on the installing snapd documentation.
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