Dataset Information 💫:

• Coswara Meaning : The word Coswara is an amalgamation of Co (from corona) and Swara (sound in sanskrit).
• Github Link : Project: Coswara
• Official Website : Link

IPYNB Files Information 🚀:

1. COVID 19 Detection from Speech ( Simple Feature Extraction ).ipynb
2. COVID 19 Detection from Speech ( MFCC Feature Extraction ).ipynb
3. COVID 19 Detection from Speech ( Simple Feature + MFCC ).ipynb
4. COVID 19 Detection from Speech ( Exract MFCCs Features ).ipynb

Other Files Information ✅:

• cs_le.npy : Covid Status Label Encoder
• data.csv : Simple Feature Extracted CSV File
• features_data.npy : Final Numpy Array Of Simple Feature Extraction Data
• file_le.npy : File Name Label Encoder
• fully_featured_data.npy : Simple + MFCCs Featured Extracted Numpy Array
• mfcc_and_features.csv : Simple + MFCCs Features in CSV File
• mfcc_data.npy : Final Numpy Array of MFCCs Feature Extracted Data
• model_1_70.h5 : Simple Feature Extraction Model ( 70% Accuracy )
• model_2_71_mfcc.h5 : MFCCs Features Extraction Model ( 71% Accuracy )
• model_3_68_mfcc_with_other_features.h5 : Simple + MFCCs Feature Extraction Model ( 68% Accuracy )
• model_4_6_Extract_MFCCs_features.h5 : Extract MFCCs Features ( 73% Accuracy )

Documentation 🎯:

• Python
• Tensorflow
• Keras
• Librosa
• Numpy
• Pandas
• Scikit-Learn
• Matplotlib

Final Note 📔:

• Bug fixing, Code error or Anything Raise issue🤚. If it any have.
• Happy to hear your sugesstions🤝 about this project.
• Feel Free to Give ⭐ to this Repository.
• Thank you very much for visiting ❤️.
• Stay Safe✌️ and Stay Healthy✌️.

For More Documentation 🗽:

• Read full Blog about this project here