911 Voice-to-Text Transcription Model (20 Epochs)
This is a specialized Whisper-based model trained on 911 emergency call recordings for accurate real-time voice-to-text transcription.
Performance
- Training Epochs: 20
- Coherence Score: 82%
- Model Size: Base Whisper
- Real-time Capable: Yes
Usage
1from transformers import WhisperProcessor, WhisperForConditionalGeneration
2
3processor = WhisperProcessor.from_pretrained("vaishnavanand/911-voice-to-text-20epochs")
4model = WhisperForConditionalGeneration.from_pretrained("vaishnavanand/911-voice-to-text-20epochs")
Emergency Keywords
Help, Emergency, 911, Urgent, Critical, Accident, Fire, Police, Ambulance, Medical, Shooting, Robbery, Assault, Heart Attack, Stroke, Bleeding, Unconscious, Breathing, Chest Pain, Gun, Knife, Weapon, Crash, Trapped
License
MIT License - Free for commercial and research use.
