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| title: Developmental Stuttering Detection | |
| emoji: 🎤 | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.20.0 | |
| python_version: '3.11' | |
| app_file: app.py | |
| pinned: false | |
| # Developmental Stuttering Detection | |
| Screens recorded speech for signs of stutter-like disfluencies using AI. | |
| Part of the NeuroSage multi-modal neurodevelopmental assessment system. | |
| ## Usage | |
| 1. Upload an audio file (WAV recommended, 4+ seconds) | |
| 2. Adjust the SLD threshold if needed | |
| 3. Click "Analyze" to get results | |
| ## Features | |
| - **Analysis Tab**: Quick SLD detection with JSON results | |
| - **Detailed Report Tab**: Gemini-powered clinical-style analysis | |
| ## Model | |
| - **Architecture**: ChildFluencyNet (WavLM-Large + Linguistic Position Encoding) | |
| - **Training Data**: UCLASS (3,547 windows, 20 child speakers) | |
| - **Performance**: F1=0.94, MCC=0.40, AUC=0.80 | |
| ## Disclaimer | |
| This is a **screening aid only** — not a clinical diagnosis. | |
| Always consult a Speech-Language Pathologist for formal evaluation. |