mycroft-precise/snap/snapcraft.yaml

183 lines
5.8 KiB
YAML

name: mycroft-precise
adopt-info: mycroft-precise
license: Apache-2.0
summary: A wake word listener from Mycroft AI
description: >
A lightweight, simple-to-use, RNN wake word listener, including all the tools to train your own custom wake word.
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 test it, try:
`mycroft-precise.listen /snap/mycroft-precise/current/hey-mycroft/hey-mycroft.pb`
**USAGE**
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
Data collection
mycroft-precise.collect - Record audio samples for use with Precise
mycroft-precise.add-noise - Create a duplicate dataset with added noise
Training
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
Model conversion
mycroft-precise.convert - Convert wake-word model from Keras to TensorFlow
architectures:
- build-on: [amd64]
base: core18
grade: stable
confinement: strict
build-packages: [python3-dev, python3-setuptools, libtool, libffi-dev, libssl-dev, autoconf, build-essential]
parts:
alsa-mixin:
build-packages:
- libasound2-dev
plugin: dump
source: https://github.com/diddlesnaps/snapcraft-alsa.git
source-subdir: snapcraft-assets
stage-packages:
- libslang2
- libasound2
- libasound2-plugins
- libportaudio2
- pulseaudio
- alsa-utils
mycroft-precise:
after: [alsa-mixin]
plugin: python
python-version: python3
source: .
override-pull: |
snapcraftctl pull
# Set version to setup.py version if current commit is the latest
# tag, otherwise append "-dev" to the version string.
set +e
if [[ git describe --exact-match --tags $(git log -n1 --pretty='%h') ]]
then
VERSION=$(/usr/bin/python3 setup.py --version)
else
VERSION="$(/usr/bin/python3 setup.py --version)-dev"
fi
set -e
snapcraftctl set-version $VERSION
build-packages:
- python-setuptools
- python3-pip
- curl
- libopenblas-dev
- python3-scipy
- cython
- libhdf5-dev
- python3-h5py
- portaudio19-dev
- swig
- libatlas-base-dev
stage-packages:
- libopenblas-base
- python3
- python3-scipy
- cython
- libhdf5-100
- libhdf5-cpp-100
- python3-h5py
- swig
- libatlas3-base
hey-mycroft:
plugin: dump
source: https://github.com/MycroftAI/precise-data/raw/models/hey-mycroft.tar.gz
source-type: tar
organize:
'*': /hey-mycroft/
layout:
/usr/lib/$SNAPCRAFT_ARCH_TRIPLET/alsa-lib:
bind: $SNAP/usr/lib/$SNAPCRAFT_ARCH_TRIPLET/alsa-lib
apps:
mycroft-precise:
plugs: [home]
command: bin/precise-engine
add-noise:
plugs: [home]
command: bin/precise-add-noise
calc-threshold:
plugs: [home]
command: bin/precise-calc-threshold
collect:
plugs: [home, audio-record, audio-playback]
command-chain:
- snap/command-chain/alsa-launch
command: bin/precise-collect
convert:
plugs: [home]
command: bin/precise-convert
eval:
plugs: [home]
command: bin/precise-eval
engine:
plugs: [home]
command: bin/precise-engine
graph:
plugs: [home]
command: bin/precise-graph
listen:
command-chain:
- snap/command-chain/alsa-launch
plugs: [home, audio-record, audio-playback]
command: bin/precise-listen
listen-pocketsphinx:
command-chain:
- snap/command-chain/alsa-launch
plugs: [home, audio-record, audio-playback]
command: bin/precise-listen-pocketsphinx
simulate:
plugs: [home]
command: bin/precise-simulate
test:
plugs: [home]
command: bin/precise-test
test-pocketsphinx:
plugs: [home]
command: bin/precise-test-pocketsphinx
train:
plugs: [home]
command: bin/precise-train
train-generated:
plugs: [home]
command: bin/precise-train-generated
train-incremental:
plugs: [home]
command: bin/precise-train-incremental
train-optimize:
plugs: [home]
command: bin/precise-train-optimize
train-sampled:
plugs: [home]
command: bin/precise-train-sampled