A real-time speech emotion recognition application using Scikit-learn and gradio

Related tags

Deep LearningSpeech-Emotion-Recognition-App
Overview

Speech-Emotion-Recognition-App

Convolution

A real-time speech emotion recognition application using Scikit-learn and gradio.

Requirements

  • librosa==0.6.3
  • numpy
  • soundfile==0.9.0
  • sklearn
  • pyaudio==0.2.11
  • gradio

pipeline

  • Dataset: RAVDESS dataset
  • Feature Extraction: MFCC, Chroma, and Mel Frequency Cepstrum
  • Model: Multi Layer Perceptron classifier
  • Accuracy: ~76% with 4 classes ["angry","sad", "neutral","happy"]

Training

python train.py

Demo

python app.py
Owner
Son Tran
I'm a data scientist
Son Tran
GitHub Repository
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