Audio Emotion Detector

Python 3.7.2

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This repo contains Python implemenation for audio emotion detection using Support Vector Machines (Sklearn library)

Dataset used : The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS)

Results

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Confusion Matrix

GUI using Tkinter

Usage

Note: Below commands are intended to be run in Git bash

• Clone the repository

git clone git@github.com:PrashanthaTP/audio-emotion-detector.git

• Create virtual environment

cd audio-emotion-detector
python -m venv .

• Activate virtual environment

source Scripts/activate

• Install dependencies

pip install -r requirements.txt

• Run gui.py

cd emotion_detector
python gui.py

Dataset Reference

@dataset{livingstone_steven_r_2018_1188976,
  author       = {Livingstone, Steven R. and
                  Russo, Frank A.},
  title        = {{The Ryerson Audio-Visual Database of Emotional
                   Speech and Song (RAVDESS)}},
  month        = apr,
  year         = 2018,
  note         = {{Funding Information Natural Sciences and
                   Engineering Research Council of Canada:
                   2012-341583  Hear the world research chair in
                   music and emotional speech from Phonak}},
  publisher    = {Zenodo},
  version      = {1.0.0},
  doi          = {10.5281/zenodo.1188976},
  url          = {https://doi.org/10.5281/zenodo.1188976}
}