Modifying Python / Tensorflow script
140 USD 
I’ve tried to launch a project.
HTTPS://github.com/google-coral/project-keyword-spotter
through run_model.py and it works as expected, recognizing simple voice teams from the list
https://github.com/google-coral/project-keyword-spotter/blob/master/config/labels_gc2.raw.txt
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I need to modify this script a bit.
First, you need to use another model - Yamnet
HTTPS://tfhub.dev/google/yamnet/1
The model is already trained and available in the required tflite format.
There are examples of its use.
HTTPS://github.com/tensorflow/models/tree/master/research/audioset/yamnet
And there is also an example of its use on the Coral Dev Board in the third-party code (run_model_yamnet.py / model_yamnet.py)
https://github.com/wileyw/DeepLearningDemos/tree/master/sound/project-keyword-spotter
With some difficulties, but he also worked on my Coral Dev Board Mini, but unfortunately does not show accurate results.And it is necessary that all available sounds of the environment from the list are recognised correctly.
HTTPS://github.com/tensorflow/models/blob/master/research/audioset/yamnet/yamnet_class_map.csv
A new version of Raspberry PI.
https://github.com/tensorflow/examples/tree/42ad27ffd1333c27a0854c5f4a312be704c76801/lite/examples/audio_classification/raspberry_pi
But you need to modify everything under Coral Dev Board Mini, for example a work project with another model https://github.com/google-coral/project-keyword-spotter
Secondly, it is necessary to modify the script so that during the detection of sound signals it regularly sends these data in the form of JSON to a specific URL, such as
HTTP://localhost:8080/api/signals
[{"type":"speech","percent":90,"timestamp":1666090230}]
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Здраствуйте, как же проверить разработчику и с чем работать, нужно железо
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