medzennou/Speaker_Recognition_Darija

The Speaker Recognition Text-Independent approach from a Moroccan Dialect Dataset. # Project Title Speaker Recognition model with Moroccan language audio files # Problem Statement [Describe the problem you are trying to solve and why it is important] # Data Data collected from Youtube, Instagram, Messanger # Model [Describe the model you are using, including its architecture, hyperparameters, and any other relevant details. Include code snippets that show how the model was trained and evaluated] ```python # This code loads the data and preprocesses it import pandas as pd data = pd.read_csv('data.csv') # preprocess the data preprocessed_data = preprocess(data) ``` # Results [Include a summary of your results, including any metrics you used to evaluate your model's performance. If you have visualizations or graphs, include those here] # Installation [Include instructions on how to install and run your code] # Usage [Include instructions on how to use your code, including any required input data or parameters] # Contributing [Include guidelines for contributing to your project, including how to report bugs or suggest new features] # License [Include information about the license under which your project is distributed] # Contact Mohammad Zennou zennou1md@gmail.com