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 94 (0 this week)

Watchers 9 (0 this week)

Forks 30

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow is ranked #306,920 (48th percentile) for total stargazers, and #225,801 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #57,308/119,431.

GianlucaPaolocci/Sound-classification-on-Raspberry-Pi-with-Tensorflow is also tagged with popular topics, for these it's ranked: machine-learning (#4,931/8063), tensorflow (#1,510/2255), raspberry-pi (#775/1242), dataset (#645/1165), raspberry (#89/147)

Other Information

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-11-24 @ 01:42am, id: 94887182 / R_kgDOBafdDg