msnmkh/Spoken-Digit-Recognition

Recognize English spoken digits using Hidden Markov Model

Python

Spoken Digit Recognition

🎙️ Spoken Digit Recognition with HMM

Overview

This project use mfcc feature extractor and Hidden Markove Model classification algorithm to recognition 0 - 9 digit of Kaggle dataset.

Dataset

Dataset of Kaggle : https://www.kaggle.com/divyanshu99/spoken-digit-dataset

Classification Algorithm

Hidden Markove Model

Feature Extractor Algorithm

Mel-frequency Cepstrum

Code Requirements

This code is written in python. To use it you will need:

python3
hmmlearn
librosa.feature
numpy
librosa
random Use pip to install any missing dependencies

General Steps

Split train and test data
Feature extract each audio using mfcc
Transpose each audio signal matrix
Vstack each transpose audio signal matrix
Create Hidden Markov Modle
Test Audio signal and predict them

Accuracy

94 %

Usage

Run python SDR.py