emotion-classification-from-audio-files

marcogdepinto

Understanding emotions from audio files using neural networks and multiple datasets.

python3 keras tensorflow

View on GitHub

420 Stars

139 Forks

420 Watchers

Python Language

gpl-3.0 License

Cost to Build

$43.71M

Market Value

$150.34M

How is this calculated?

Growth over time

14 data points · 2021-08-01 → 2025-07-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about emotion-classification-from-audio-files

Question copied to clipboard

What is the marcogdepinto/emotion-classification-from-audio-files GitHub project? Description: "Understanding emotions from audio files using neural networks and multiple datasets.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone emotion-classification-from-audio-files

Clone via HTTPS

git clone https://github.com/marcogdepinto/emotion-classification-from-audio-files.git

Clone via SSH

[email protected]:marcogdepinto/emotion-classification-from-audio-files.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the emotion-classification-from-audio-files issue tracker:

Open GitHub Issues

Similar to emotion-classification-from-audio-files

tensorflow keras TensorFlow-Examples gold-miner data-science-ipython-notebooks handson-ml tflearn EffectiveTensorflow DeepSpeech Mask_RCNN stanford-tensorflow-tutorials facenet TensorFlow-Tutorials DCGAN-tensorflow keras-js kubeflow TensorLayer deepo seq2seq TensorFlow-Book tutorials TensorFlow-World edward generative-models tensorflow_cookbook darkflow horovod CapsNet-Tensorflow tensorflow-docs pipeline