Time series data, Audio (MFCC), MFCC - Normalized, Classification - BrainChip Akida™ #2 (DS CNN), Classification - BrainChip Akida™ #3 (Clone of version #1)
An impulse takes raw data, uses signal processing to extract features, and then uses a learning
block to classify new data.
Audio (MFCC)
MFCC - Normalized
Classification - BrainChip Akida™
4 (no, noise, unknown, yes)
4 (no, noise, unknown, yes)
Show all features
Classification - BrainChip Akida™
4 (no, noise, unknown, yes)
4 (no, noise, unknown, yes)
Show all features
Output features
8 (no, noise, unknown, yes, no, noise, unknown, yes)
8 (no, noise, unknown, yes, no, noise, unknown, yes)
Show all features
No data collected yet
You'll need some training data to design your first impulse.