Building Intelligence into Sound — The Microarchitecture of AIA381-M10

What makes the WBC-AIA381-M10 more than just another MEMS microphone? The answer lies in its multi-core voice processing architecture that fuses analog and digital intelligence.

Core Components:

• ASP (Analog Signal Preprocessing): Includes 8-level gain control and automatic gain control to optimize audio signals.
• LP_NPU (Low Power Neural Processor): Uses binary neural networks (BNN) for always-on voice detection and anomaly recognition.
• NPU (Neural Processor): Powered by CNNs to classify keywords and scenes with exceptional accuracy.

The architecture ensures the system remains in deep sleep until the LP_NPU detects a valid voice, which then activates the NPU for complex classification — a design ideal for battery-operated AI voice interfaces.

The module supports burst I²C read/write, integrates decoupling guidance for PCB layout, and complies with ESD and reflow standards for robust manufacturing.

Whether you’re building voice-controlled IoT devices or AI-powered headsets, the AIA381-M10 is the intelligent audio interface you’ve been waiting for.