Custom neural networks for extracting meaningful features from complex audio waveforms.
Specialized designs for acoustic event detection, classification, and time series prediction.
Leveraging pre-trained models to achieve excellent results with limited training data.
Techniques to reduce model size and increase inference speed while maintaining accuracy.