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title: Vocal Biomarker Analysis | |
emoji: 🎤 | |
colorFrom: blue | |
colorTo: purple | |
sdk: gradio | |
sdk_version: 4.12.0 | |
python_version: 3.10 | |
app_file: app.py | |
pinned: false | |
license: mit | |
# Vocal Biomarker Analysis | |
This application analyzes voice recordings to detect emotional and mental health indicators using AI models. | |
## Features | |
- Speech-to-text transcription | |
- Emotion detection | |
- Mental health risk assessment | |
- Real-time visualization | |
## Models | |
- Whisper Base (Speech Recognition) | |
- EmoBERTa (Emotion Detection) | |
- ClinicalBERT (Analysis) | |
## Usage | |
1. Record audio or upload file | |
2. Click analyze | |
3. View results: | |
- Transcription | |
- Emotion analysis | |
- Mental health indicators | |
## License | |
MIT License |