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