Speech Emotion Recognition

Project Overview

This project implements a Speech Emotion Recognition system using Mel-Frequency Cepstral Coefficients (MFCCs) and Deep Learning. The goal is to classify emotions from speech audio data by extracting acoustic features and training neural networks to recognize emotional patterns.

Project Structure

speech-recognition/
├── data/
│   ├── raw/          # Raw audio files
│   └── processed/    # Processed features
├── notebooks/        # Jupyter notebooks for experiments
├── src/              # Source code
│   ├── data_loader.py
│   ├── features.py
│   └── model.py
├── requirements.txt
└── README.md

Setup

Install dependencies:

pip install -r requirements.txt