Seeed Studio reSpeaker 2-Mics Pi HAT V2.0 for Raspberry Pi

🎙️ ReSpeaker 2-Mics Pi HAT – Voice-First Expansion for Raspberry Pi

The ReSpeaker 2-Mics Pi HAT is a compact dual-microphone add-on board designed for AI and voice interaction projects using Raspberry Pi 🤖🍓.

With support for Amazon Alexa Voice Service, Google Assistant, and more, you can build smarter, more responsive voice-enabled products—from smart speakers to home automation systems 🏠🗣️.

Features

🗣️ Voice User Interface for Raspberry Pi Series

Designed for seamless voice interaction, this module features 4 analog microphones paired with advanced algorithms including:

• 🎤 VAD (Voice Activity Detection)

• 📍 DOA (Direction of Arrival)

• 🔑 KWS (Keyword Spotting)

Ideal for building responsive voice-controlled systems with Raspberry Pi 🍓.

🎧 TLV320AIC3104 Audio Codec

Equipped with a low-power, high-fidelity stereo codec, optimized for portable digital audio applications—delivering crisp and accurate voice capture 🎶.

🌈 Controllable Peripherals

Includes 3 programmable APA102 RGB LEDs and 1 user button, perfect for interactive speech recognition feedback and customization 🔧✨.

⚡ Easy Assembly

Just snap it onto your Raspberry Pi—no soldering, no fuss. Instant voice interface setup for developers and makers 🚀.

🔊 reSpeaker 2-Mics Pi HAT – Smart Audio Expansion

This compact HAT integrates 2 analog microphones and the TLV320AIC3104 codec for high-definition voice capture. Combined with NLU (Natural Language Understanding) and noise reduction algorithms, it supports:

• 🧠 Voice Activity Detection

• 📍 Direction of Arrival

• 🔑 Keyword Spotting

Widely used in smart speakers, voice assistants, and AI voice interaction systems 🤖.

🔍 How Does reSpeaker 2-Mics Pi HAT Work?

The ReSpeaker features analog microphones mounted at each corner of its square board 🎙️. These mics capture surrounding audio and transmit it to the onboard audio codec, which includes:

• 🔄 Synchronized ADCs (Analog-to-Digital Converters)

• 🔊 Mic boost amplifier for enhanced signal clarity

The codec then delivers multi-channel audio data to the Raspberry Pi / Pi Zero via:

• 📡 Standard I2S or PCM format over I2S ports

• 🔗 TDM format through a single channel for synchronized transmission

🧠 Intelligent Voice Processing

Once the audio reaches the Raspberry Pi, NLU (Natural Language Understanding) algorithms kick in to analyze and interpret the input. Core functions include:

• 🎤 Voice Activity Detection (VAD) – detects when someone is speaking

• 📍 Direction of Arrival (DOA) – locates where the voice is coming from

• 🔑 Keyword Spotting (KWS) – identifies trigger phrases or wake words

These features make ReSpeaker ideal for voice-controlled applications such as:

• 🚗 Remote control cars

• 🗣️ Voice user interfaces

• 🛌 Wake-word activated systems

• 🏠 Smart home devices