Sound-classification-on-Raspberry-Pi-with-Tensorflow

Sound-classification-on-Raspberry-Pi-with-Tensorflow

GianlucaPaolocci

In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone

88 Stars
29 Forks
88 Watchers
Python Language
mit License
Cost to Build
$22.4K
Market Value
$37.8K

Growth over time

7 data points  ·  2021-08-01 → 2023-06-01
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What is the GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow GitHub project? Description: "In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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