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

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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 superio

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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 superio

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

GitHub Issues· 8 open

View all on GitHub
  • #9

    How to use it with your own dataset?

    Updated Aug 28, 2024
  • #12

    I had an error on training in trainModel.py

    Updated Mar 14, 2023
  • #11

    Error lines 38

    Updated Oct 12, 2022
  • #6

    UnboundLocalError: local variable 'features' referenced before assignment

    Updated May 27, 2021
  • #8

    Bird classification

    Updated Apr 26, 2020
  • #4

    how can I add new class

    Updated Nov 27, 2018
  • #3

    Parent directory does not exist on model save

    Updated Oct 11, 2018
  • #1

    Cost is not defined

    Updated Jun 24, 2018

> Tags

Pythonaudio-analysisaudio-signalsdatasetlibrosa

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> Details

PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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