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