SISTC HAT-2M-WM8960: Dual-Mic Voice Hat for Raspberry Pi

SISTC HAT-2M-WM8960: Dual-Mic Voice Hat for Raspberry Pi

— Powered by WM8960 Codec | Professional Voice Interface for AI Assistants & Edge Computing

Product Positioning

The SISTC HAT-2M-WM8960 is a high-performance, low-power dual-microphone expansion board specifically engineered for the Raspberry Pi ecosystem. Leveraging the WM8960 stereo codec, this “HAT” allows developers to build robust voice-controlled products with integrated support for Amazon Alexa, Google Assistant, and advanced edge AI engines.

With its compact design and rich peripheral interfaces, it is the definitive hardware solution for transforming a Raspberry Pi into a privacy-focused, offline-capable AI voice terminal.

Key Technical Advantages

A. Advanced Audio Processing

  • WM8960 Stereo Codec: Optimized for low power consumption without sacrificing high-fidelity audio conversion.

  • Dual Microphone Array: Two high-sensitivity microphones positioned on either side of the board for balanced far-field voice capture and noise isolation.

  • Superior Sample Rate: Supports up to 48kHz sampling, ensuring high-quality audio recording and playback for professional applications.

B. Rich Peripheral Ecosystem

  • Visual & Tactile Interaction: Features 3 programmable APA102 RGB LEDs and a dedicated User Button (GPIO17) for intuitive UI feedback.

  • Grove Expandability: Integrated Grove I2C and Grove Digital (GPIO12/13) ports, allowing for seamless connection to the vast ecosystem of Grove sensors and displays.

  • Dual Output Options: Choose between the standard 3.5mm Audio Jack or the JST 2.0 Speaker Connector (supporting 5W amplification) for versatile audio output.

Core Hardware Specifications

Component Specification Functionality
Audio Codec WM8960 Low-power stereo DAC/ADC and Signal Processing.
Microphones Dual Analog Mics Positioned for stereo/differential sound capture.
Max Sample Rate 48 kHz Professional-grade digital audio processing.
LEDs 3x APA102 RGB Connected via SPI for low-latency visual effects.
Connectors 40-pin GPIO / Grove / JST 2.0 Compatible with Raspberry Pi 4, 3B+, 3A+, Zero, etc.
Power Input Micro USB (5V) Ensures stable current for driving external speakers.

Advanced AI Integration & Edge Solutions

I. Edge Voice Recognition with Picovoice

SISTC has partnered with Picovoice to provide an end-to-end, privacy-first voice AI solution.

  • 100% On-Device: No cloud connection required.

  • Zero Latency: Eliminates network delays for instant response.

  • Privacy & Compliance: Fully compliant with HIPAA and GDPR as all data stays local.

  • Robust Performance: Exceptional resistance to noise and reverberation.

II. Open-Source Keyword Detection with Mycroft Precise

For developers seeking full control, the HAT-2M-WM8960 supports Mycroft Precise, an Apache-2.0 licensed keyword detector.

  • Custom Training: Train the system to recognize specific names, sounds, or events.

  • Cross-SBC Support: While optimized for Raspberry Pi (Raspbian), it is compatible with Nvidia Jetson Nano, NPi i.MX6ULL, and ODYSSEY-STM32MP157C.

Applications

  • Smart Home Hubs: Building custom, privacy-centric voice controllers for home automation.

  • AI Personal Assistants: Integrated Alexa or Google Assistant for desktop or embedded use.

  • Edge Audio Analytics: Sound classification and acoustic monitoring in industrial environments.

  • Interactive HMI: Voice-driven interfaces for kiosks and robotics.

Support & Resources

To maintain the highest level of technical support and ensure your project’s success, we provide complete configuration scripts, driver packages, and sample code upon request.

How to get started:

Please contact our customer service team or visit www.sistc.com to request the HAT-2M-WM8960 Technical Resource Package.

Quality Commitment

At SISTC, we leverage 15 years of expertise in acoustic engineering. Our boards are manufactured to industrial standards, ensuring high SNR (Signal-to-Noise Ratio) and consistent performance across all supported Linux platforms.

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