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

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

Date Created 2017-06-20 (7 years ago)

Commits 79 (last one 2 years ago)

Stargazers 97 (0 this week)

Watchers 8 (0 this week)

Forks 30

License mit

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RepositoryStats indexes 631,351 repositories, of these GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow is ranked #312,635 (50th percentile) for total stargazers, and #237,461 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #59,229/128,766.

GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow is also tagged with popular topics, for these it's ranked: machine-learning (#5,000/8391), tensorflow (#1,506/2300), raspberry-pi (#782/1296), dataset (#654/1222), raspberry (#88/157)

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GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow has Github issues enabled, there are 8 open issues and 2 closed issues.

All Topics

dataset librosa raspberry tensorflow raspberry-pi audio-signals audio-analysis machine-learning tensorflow-models sound-classification multilayer-perceptron-network

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1 commits on the default branch (master) since jan '22

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The only known language in this repository is Python

updated: 2025-03-02 @ 10:07am, id: 94887182 / R_kgDOBafdDg