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Releases: creativepurus/Accent_Classification

Accent Classification using Wav2Vec2 + Gradio UI

06 Aug 12:37
@creativepurus creativepurus
v1.0
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Accent Classification using Wav2Vec2 + Gradio UI Latest
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🎉 Release: Accent Classification using Wav2Vec2 + Gradio UI

This release brings a fully functional Accent Classification App powered by a fine-tuned Wav2Vec2 model and an interactive Gradio interface.

📌 Project Highlights

  • 🔊 Detects English accents – currently supports Canadian English 🇨🇦 and England English 🇬🇧.

  • ⚙️ Built using HuggingFace Transformers, PyTorch, and Gradio.

  • 🧠 Trained on 600 balanced samples from the Mozilla Common Voice dataset.

  • 📈 Achieves high performance:

    • Accuracy: 97.83%
    • F1 Score: 97.62%

  • 🧪 Comes with visualized results, evaluation metrics, and custom model architecture.

  • 🎨 Dark-themed Gradio UI with microphone and file upload support.

  • 🧩 Modular, clean codebase with a clear project structure.

💻 How to Use This Project (No CMD Needed – GitHub Website UI Only)

✅ Option 1: Download ZIP (Run Locally)

  1. Go to: https://github.com/creativepurus/Accent_Classification

  2. Click the green <> Code button.

  3. Select Download ZIP.

  4. Unzip it on your system.

  5. Open the folder in your IDE (e.g., VS Code).

  6. Install dependencies:

    pip install -r requirements.txt

  7. Run the app using:

    python app.py

🔄 Option 2: Fork the Project (To Your GitHub Account)

  1. Open: https://github.com/creativepurus/Accent_Classification

  2. Click the Fork button at the top-right.

  3. A copy of this project will appear under your account.

  4. You can:

    • Edit files online using the GitHub web editor.
    • Download your version anytime.
    • Use GitHub Codespaces or Colab later if needed.

📌 Project Structure (Latest)

Accent_Classification/
├── .github/                  # GitHub workflows & configs
├── assets/                   # Icons, banners, etc.
├── Data/                     # Raw dataset files
├── Graphs/                   # Model evaluation charts
├── Accent_Detection_Model.ipynb    # Training notebook
├── app.py                    # Gradio app
├── Code_Explanation.md       # Code walkthrough
├── LICENSE
├── README.md
├── requirements.txt

🔗 Clone, Fork, or Download – Make it Yours!

This release is open-source and beginner-friendly. Clone, fork, or download it to get started. Contributions, ideas, and feedback are most welcome! 🌟

Full Changelog: https://github.com/creativepurus/Accent_Classification/commits/v1.0

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