Recognizing a vocabulary of 10 to 50 spoken commands on-device without cloud connectivity. Extends beyond single-keyword spotting to support a broader command set such as directional controls, numeric inputs, or appliance operations. Uses DS-CNN or convolutional architectures trained on speech command datasets. Requires more model capacity than wake-word detection but runs only after activation, not continuously.
| Minimum RAM | 128 KB |
| Minimum Flash | 1024 KB |
| Sensor Inputs | microphone |
| Typical Model Size | 80 KB (quantized int8) |
| Minimum Clock | 64 MHz |
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