|
9 | 9 | [](https://pytorch.org/)
|
10 | 10 | [](https://tensorflow.org/)
|
11 | 11 | [](https://opensource.org/licenses/MIT)
|
| 12 | +[](https://github.com/vatsalmehta/speech-emotion-recognition/actions) |
| 13 | +[](https://github.com/vatsalmehta/speech-emotion-recognition/stargazers) |
| 14 | +[](https://github.com/vatsalmehta/speech-emotion-recognition/network/members) |
12 | 15 |
|
13 | 16 | ## 👤 About this Project
|
14 | 17 |
|
@@ -458,4 +461,60 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
|
458 | 461 |
|
459 | 462 | - The RAVDESS dataset creators for providing high-quality emotional speech data
|
460 | 463 | - The PyTorch and torchaudio teams for their excellent frameworks
|
461 |
| -- The research community for advancing speech emotion recognition techniques |
| 464 | +- The research community for advancing speech emotion recognition techniques |
| 465 | + |
| 466 | +## 🎮 Try It Yourself |
| 467 | + |
| 468 | +### Interactive Demo |
| 469 | + |
| 470 | +You can try an interactive version of this emotion recognition system online: |
| 471 | + |
| 472 | +```bash |
| 473 | +# Coming soon - Streamlit or Hugging Face Spaces demo |
| 474 | +``` |
| 475 | + |
| 476 | +I'm currently working on deploying an interactive demo using Streamlit that will allow you to: |
| 477 | +- Upload your own audio files for emotion analysis |
| 478 | +- Compare results across different model architectures |
| 479 | +- Visualize the decision-making process in real-time |
| 480 | + |
| 481 | +Check back soon or [contact me](https://github.com/vatsalmehta) for early access! |
| 482 | + |
| 483 | +### Installation Options |
| 484 | + |
| 485 | +For those who prefer a local installation, I've provided multiple ways to run the project: |
| 486 | + |
| 487 | +1. **Docker Container** (easiest, no dependency issues): |
| 488 | + ```bash |
| 489 | + docker pull vatsalmehta/emotion-recognition:latest |
| 490 | + docker run -p 8501:8501 vatsalmehta/emotion-recognition:latest |
| 491 | + ``` |
| 492 | + |
| 493 | +2. **Python Virtual Environment** (recommended for developers): |
| 494 | + ```bash |
| 495 | + python -m venv venv |
| 496 | + source venv/bin/activate # On Windows: venv\Scripts\activate |
| 497 | + pip install -r requirements.txt |
| 498 | + ``` |
| 499 | + |
| 500 | +## 🚀 Further Development |
| 501 | + |
| 502 | +I'm actively improving this project with several exciting directions: |
| 503 | + |
| 504 | +- **Cross-cultural emotion detection**: Training on multilingual datasets to improve performance across different languages and accents |
| 505 | +- **Multimodal analysis**: Combining audio features with facial expressions for more accurate emotion detection |
| 506 | +- **Edge deployment**: Optimizing models for mobile and IoT devices |
| 507 | +- **Emotion tracking over time**: Analyzing emotional progression throughout conversations |
| 508 | + |
| 509 | +If you're interested in collaborating on any of these features, please reach out! |
| 510 | + |
| 511 | +## 📬 Contact & Connect |
| 512 | + |
| 513 | +I'm always open to collaboration, feedback, or questions about this project: |
| 514 | + |
| 515 | +- **LinkedIn**: [Vatsal Mehta](https://linkedin.com/in/vatsalmehta) |
| 516 | +- **GitHub**: [@vatsalmehta](https://github.com/vatsalmehta) |
| 517 | +- **Email**: your.email@example.com (replace with your actual email) |
| 518 | +- **Portfolio**: [vatsalmehta.com](https://vatsalmehta.com) |
| 519 | + |
| 520 | +Whether you're interested in machine learning collaboration, have questions about emotion recognition, or just want to connect with a fellow ML engineer, don't hesitate to reach out! |
0 commit comments