Enabling Always-On Audio Intelligence with PSOC™️Edge
Voice-enabled devices are expanding across wearables, home products, and industrial systems, but bringing high-quality on-device audio processing to battery-powered designs remains difficult. Developers must handle echo cancellation, noise reduction, beamforming, wake-word detection, and speech recognition without relying on power-hungry Cortex-A-class processors. The PSOC™️Edge E84 solves this challenge by combining a Cortex-M55 with Helium DSP extensions, an Ethos-U55 microNPU, and an ultra-low-power analog front end. These components support always-on listening, local inference, and advanced audio enhancement while keeping energy consumption low. The platform’s hardware blocks, middleware, and ML tools give teams a complete path to building responsive, cloud-optional voice interfaces for small, cost-constrained devices.
What You’ll Learn
- How the M55 + Helium DSP and U55 microNPU accelerate wake-word detection and speech recognition workloads
- How the low-power analog subsystem enables always-on acoustic monitoring with minimal battery impact
- How the AFE, beamforming, echo cancellation, and noise suppression blocks improve voice quality
- How ModusToolbox ML tools streamline deploying DSP + ML workloads across cores without hand optimization
Why It Matters
- Enables high-quality voice interaction on small, battery-powered devices previously unable to support local audio processing
- Reduces reliance on cloud connectivity by supporting local inference, wake-word detection, and text-to-speech
- Lowers development complexity with integrated hardware, middleware, codec support, and ML deployment tools
Download the full white paper to explore how PSOC™️Edge E84 delivers efficient, always-on voice and audio processing for modern embedded devices.
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