Neural Acoustic Model
Our acoustic model leverages a proprietary transformer architecture with over 2 billion parameters, trained on hundreds of thousands of hours of professionally recorded speech data. The model captures micro-prosodic features including pitch contours, duration patterns, spectral characteristics, and breath dynamics that define natural human speech.
- 2B+ parameter transformer network
- Multi-speaker embedding space
- Real-time prosody prediction
- Spectral envelope modeling