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

Last update: Oct 04, 2022

Overview

Speech-Emotion-Recognition-App

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

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