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--- |
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title: Wave App |
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emoji: 💻 |
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colorFrom: pink |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.17.1 |
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app_file: app.py |
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pinned: false |
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license: mit |
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thumbnail: >- |
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https://cdn-uploads.huggingface.co/production/uploads/63bc1e06b8c61b8aa4963cf2/cPoSjWQgu66JrLyQ8HVM3.png |
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short_description: Built using Gradio, Librosa, and Resemblyzer. This applicati |
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--- |
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# 🎙️ Wave: Voice Recognition with Similarity Testing |
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Welcome to the **Wave: A Voice Recognition application with Similarity Testing** project, built using **Gradio**, **Librosa**, and **Resemblyzer**. This application compares uploaded voice samples against reference embeddings to determine similarity, making it ideal for voice authentication and verification tasks. |
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--- |
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## 🚀 **Key Features** |
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- **Real-time Voice Verification:** Instantly compares a test voice against reference samples. |
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- **Multi-File Training:** Upload up to **50** audio samples for robust training. |
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- **Similarity Scoring:** Generates a similarity score, with results interpreted as a match or mismatch. |
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- **User-Friendly Interface:** Powered by **Gradio**, ensuring a seamless and interactive experience. |
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--- |
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## 🛠️ **Technology Stack** |
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- **Framework:** Gradio |
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- **Audio Processing:** Librosa |
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- **Voice Embeddings:** Resemblyzer |
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- **Numerical Computations:** NumPy |
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- **Audio File Handling:** SoundFile |
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--- |
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## 📁 **File Structure** |
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```plaintext |
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voice-recognition-app |
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│ |
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├── app.ipynb # Main application notebook |
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├── requirements.txt # Required packages |
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└── README.md # Project documentation |
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``` |
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--- |
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## 💾 **Usage** |
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1. **Train the Model:** Upload up to **50** `.wav` files as reference samples. |
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2. **Test a Voice:** Upload a single `.wav` file and receive a similarity score. |
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3. **Interpret Results:** Scores above **0.80** indicate a close match. |
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--- |
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## 📦 **Dependencies** |
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```plaintext |
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gradio |
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librosa |
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resemblyzer |
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numpy |
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soundfile |
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``` |
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--- |
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## 🧠 **How It Works** |
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1. **Audio Loading:** Files are loaded and resampled to **16 kHz**. |
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2. **Voice Embeddings:** The **Resemblyzer** extracts embeddings that represent vocal characteristics. |
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3. **Similarity Calculation:** The dot product of normalized embeddings produces the similarity score. |
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--- |
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## 🌐 **Access Live Demo** |
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🔗 [wave-app](https://huggingface.co/spaces/ajnx014/wave-app) |
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## 📝 **License** |
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This project is licensed under the **MIT License**. |
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## 🤝 **Contributing** |
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Feel free to contribute! Fork the repository, create a new branch, and submit a pull request. |
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--- |
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## 📧 **Contact** |
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For inquiries or support, please reach out to **[arjunjagdale14@gmail.com](mailto:arjunjagdale14@gmail.com)**. |
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--- |
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> **Author:** Arjun Jagdale |
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> **GitHub:** [ArjunJagdale](https://github.com/ArjunJagdale) |
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> **Project:** Voice Recognition with Similarity Testing |
