AlinaBaber/Arabic-Speech-Recognition-by-Machine-learning-and-feature-extraction

This project implements an Arabic Speech Recognition system using an ensemble voting classifier. The model is built with Python and utilizes the Librosa library for preprocessing and feature extraction.

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Experimental

This project helps individuals practice and improve their recitation of Quranic verses. Users record their Arabic speech through an Android app, which then processes the audio to identify the words spoken. The system then compares the recitation to the correct text, highlighting any mistakes to help users correct their pronunciation and delivery.

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Use this if you are a learner of the Quran and want to verify the accuracy of your recitation and identify specific words where you might be making errors.

Not ideal if you need a general-purpose Arabic speech-to-text system for varied dialects or everyday conversations.

Quranic Studies Religious Education Language Practice Recitation Improvement Arabic Learning
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 7 / 25

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Last pushed

Aug 30, 2024

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