Time series data, MFCC - Normalized, Classification - BrainChip Akida™ #1 (Trained with 80%)
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
MFCC - Normalized
Classification - BrainChip Akida™
4 (no, noise, unknown, yes)
4 (no, noise, unknown, yes)
Show all features
Output features
4 (no, noise, unknown, yes)
4 (no, noise, unknown, yes)
Show all features
No data collected yet
You'll need some training data to design your first impulse.