Aspinity released its Voice-First Evaluation Kit (EVK2), a development kit that demonstrates the company’s ultra-low-power edge processing solution for analog voice activity detection and preroll.

The kit allows users to integrate analog machine learning and analog data compression into batter-operated, voice-enabled devices without compromising system accuracy.

The key feature of the EVK2 is the company’s Reconfigurable Analog Modular Processor (RAMP™) chip. Per the company, the RAMP chip improves battery life in edge devices. It uses almost zero power to analyze raw, unstructured analog microphone data at the start of the signal chain to determine if voice is present before triggering the wake word engine.

It’s also the first analog voice wake up solution to continuously collect and compress into 2kB of memory.

Other features per a company press release:

• Audio test files for quick start-up, and a live audio testing option that uses a high-performance MEMS microphone from Infineon for flexible testing
• Integration with the popular high-performance STM32H743ZI MCU from STMicroelectronics allows the testing of analog voice activity detection with or without preroll collection and delivery to a third party WWE

For more information, visit www.Aspinity.com.