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

<https://repo.masters-masters.com/en/repos/GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow>

[Home](https://repo.masters-masters.com/en) › [GianlucaPaolocci](https://repo.masters-masters.com/en/owners/GianlucaPaolocci) › [Sound-classification-on-Raspberry-Pi-with-Tensorflow](https://repo.masters-masters.com/en/repos/GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow)

GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow has 100 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [GianlucaPaolocci](https://repo.masters-masters.com/en/owners/GianlucaPaolocci) |
| Stars | 100 |
| Forks | 29 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | machine-learning, multilayer-perceptron-network, tensorflow, tensorflow-models, audio-analysis, librosa, raspberry, dataset, audio-signals, raspberry-pi |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow](https://github.com/GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.