Product Description
reSpeaker 2-Mics Pi HAT V2.0 for Raspberry Pi - TLV320AIC3104 Audio Codec, 2 Analog Microphones, 3 APA102 RGB LEDs
reSpeaker 2-Mics Pi HAT V2.0 for Raspberry Pi - TLV320AIC3104 Audio Codec, 2 Analog Microphones, 3 APA102 RGB LEDsNote:The reSpeaker 2-Mics Pi HAT has been upgraded to version 2.0. The codec chip has been replaced from WM8960 toTLV320AIC3104, enabling support forRaspberry Pi 5and expanding the sampling rate range from 8 kHz to 96 kHz.
🌱Voice User Interface for Raspberry Pi Series: Placed by 4 analogue microphones, which come with the Voice Interaction algorithms of VAD(Voice Activity Detection), DOA(Direction of Arrival), KWS(Key Word Spotting)
🌱TLV320AIC3104 Audio Codec: Low power, high-quality stereo Codec designed for portable digital audio applications
🌱Controllable Peripherals: Provide 3 programable APA102 RGB LEDs and 1 User Button for attached Speech Recognition usage
🌱Easy Assembly: Simply pop up on the Raspberry Pi to use
The reSpeaker 2-Mics Pi HAT is the voice user interface for Raspberry Pi Series, which has been equipped 2 analogue microphonesandTLV320AIC3104 Audio Codec for high-definition voice capture. Attach with NLU software algorithms and noise reduction algorithms, it has the abilities of Voice Activity Detection, Direction of Arrival and Key Word Spotting, widely used in Voice Interaction applications.
How does reSpeaker work?
There are analogue microphones mounted on each corner of the square reSpeaker, to receive audio data around then transmit them to the codec. The codec integrates synchronized ADCs with mic boost amplifier, to deliver valid channel data to the Raspberry Pi/ Pi Zero, where it transits them over I2S ports by standard I2S or PCM format, along with a single port by TDM format.
The NLU algorithms will be applied to the Raspberry Pi once the audio data has arrived. The main functions include Voice Activity Detection(VAD), Direction of Arrival(DOA), and Key Word Spotting(WKS), suitable for various Voice Interaction applications such as voice-based remote control cars, voice user interface, keywords wake up and so on.

Since the audio data transmitted may contain the noise as well, the reSpeaker comes with the functions of Auto Echo Cancellation (AEC), Beamforming, Webrtc Noise Suppression (NS), and Automatic Gain Control (AGC) to reduce noise and perform better audio data to the Raspberry Pi.

Specification | Details |
MIC | 2 analog microphones |
LED | 3 APA102 RGB LEDs |
Raspberry Pi 40-Pin Headers | Support Raspberry Pi5, Raspberry Pi Zero, Raspberry Pi 1B+/2B/3B/3B+/4B |
TLV320AIC3104 codec | Low power, high quality stereo Codec designed for portable digital audio applications |
Software Algorithm | VAD(Voice Activity Detection), DOA(Direction of Arrival) and KWS(Keyword Search) |
User button | 1 programmable button |
Voice Capture Distance | 3 meters radius voice capture |
Battery | Exclude |
Dimensions | 65mm x 30mm x 15mm |
Weight | G.W 33g |
🌱Voice Interaction Learning
🌱Secondary software Development
🌱Voice-based remote control cars
Documents
🌱Get started with Google Assistant
🌱How to use button to trigger Google Assistant
🌱Respeaker_2_Mics_Pi_HAT_SCH
🌱Respeaker_2_Mics_Pi_HAT_PCB
🌱Respeaker_2_Mics_Pi_HAT_SCH
🌱Respeaker_2_Mics_Pi_HAT_PCB
🌱ReSpeaker 2 Mics Pi HAT 3D
🌱Seeed-Voice Driver
🌱Algorithms includes DOA, VAD, NS
🌱Voice Engine project, provides building blocks to create voice enabled objects
🌱AEC
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Condition
Brand New
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This item is shipped directly from our supplier in China with tracking.