Speech-Classification

This repository is made for the Machine Learning course project - 2022.

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Introduction

The goal of this project is to implement an audio classification system, which:

1. first reads in an audio,
2. and then recognizes the class(label) of this audio.

Classes

The data is divided into four class based on emotion:

anger, happiness, sadness, neutral

Also The data is divided into two class based on sex:

male, female

Method

Features: MFCCs (Mel-frequency cepstral coefficients), Spectral Centroid, Spectral Bandwidth, Rolloff, Melspectrogram, Spectral Contrast, Spectral Flatness are computed from the raw audio using librosa package.

Classifier: SVM (Support Vector Machine) is adopted for gender classificatioin, and CNN (Convolutional Neural Network) is adopted for emotion classificatioin

Result

• Gender Classificatioin

Train Acc.	Test Acc.	F1 Score.
0.999	0.95440	0.9543

• Emotion Classificatioin

Train Acc.	Test Acc.
0.601	0.4742

Download Data

Voice data can be downloaded from here.

Install dependencies

In a Python3 virtual environment run:

pip install -r requirements.txt