Arm’s white paper guides designing low-power, low-cost Cortex-M voice solutions for IoT. It covers smart assistant architectures, constrained MCU systems, and voice capture pipelines using MEMS microphones, beamforming, echo cancellation, and audio front ends. Speech recognition relies on wake-word engines, VAD, and domain-specific NLU optimized for Cortex-M. It details integrating RTOS, communication, and security stacks with audio frameworks for cloud or local processing. For specialized needs, custom SoCs can be built using Arm IP, Corstone subsystems, and partner design services—balancing performance, power, and cost for embedded voice applications.

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