Voice Command Recognition with Edge AI
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.
Hardware Requirements
| Minimum RAM | 128 KB |
| Minimum Flash | 1024 KB |
| Sensor Inputs | microphone |
| Typical Model Size | 80 KB (quantized int8) |
| Minimum Clock | 64 MHz |
Hardware Guides
No hardware guides for voice command recognition yet. Use the MCU Checker to find compatible hardware.
Industry Applications
Orchestrate Voice Command Recognition with ForestHub
Your devices run voice command recognition on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.