Speech-therapy

This repo is an implementation for Arabic and English language speech trainer for babies from 2 years to 6 years To help them get rid of stuttering

Requirements

• Python 3.x
• Dependencies: gtts, speechrecognition, nltk,sentence_transformers
• You can study the code to understand from this file main.ipynb

Install the dependencies using pip

Usage

1. Prepare your input text file containing the Arabic or English sentences you want to compare. Each sentence should be on a new line, check English_sentences.txt file.

2. Prepare the input records in a folder called English_records or Arabic_records contains the child's voice.

3. Download E_model.pkl from here link and Import the model and load it from the PKL file:

# Load the model from the PKL file
with open('similarity_calculator.pkl', 'rb') as file:
    model = pickle.load(file)
file_path = "path/to/your/text/file.txt"
folder_path = "path/to/your/folder"
average_similarity = model(file_path,folder_path)