harry-7 / Speech Emotion Recognition
Licence: mit
Speaker independent emotion recognition
Stars: ✭ 169
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python
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Speech Emotion Recognition
This repository contains our work on Speech emotion recognition using emodb dataset. This dataset is available here Emo-db
Prerequisites
Linux (preferable Ubuntu LTS). Python2.x
Installing dependencies
Note: You can skip this step, if you are installing the packages.
Dependencies are listed below and in the requirements.txt file.
- h5py
- Keras
- scipy
- sklearn
- speechpy
- tensorflow
Install one of python package managers in your distro. If you install pip, then you can install the dependencies by running
pip3 install -r requirements.txt
If you prefer to accelerate keras training on GPU's you can install tensorflow-gpu by
pip3 install tensorflow-gpu
Directory Structure
-
speechemotionrecognition/- Package folder which contains all the code files corresponding to package -
dataset/- Contains the speech files in wav formatted seperated into 7 folders which are the corresponding labels of those files -
models/- Contains the saved models which obtained best accuracy on test data. -
examples/- Contains examples on how to use the package
Details of the package
-
utilities.py- Contains code to read the files, extract the features and create test and train data -
mlmodel.py- Code to train non DL models. We have three models1 - SVM2 - Random Forest3 - Neural Network
-
dnn.py- Code to train Deep learning Models. Supports two models given below1 - CNN2 - LSTM
Examples
Have a look at examples/ directory. ml_example.py has examples using ML models.
cnn_example.py and lstm_example.py has examples using cnn and lstm models.
Documentation
Code documentation can be found here
Installation
A setup.py file is provided in the repository. You can run sudo python3 setup.py install to install it at system level.
If you don't have privileges to do so, you can install it at user level by running python3 setup.py install --user.
Contributing to the repository.
- If you find any problem with the code, please feel free to open an issue.
- Found something you can improve, please send me a pull request with your changes. I will be more than happy to review and approve them.
Note: If you find this code useful, please leave a star :)
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