Description
Feature
- 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)
- AC108 Audio Codec: Integrated quad-channel ADC with I2S/TDM to output transition for high-definition voice capture
- Controllable Peripherals: Provide 12 programable RGB LEDs and 2 Grove ports for attached Speech Recognition usage
- Easy Assembly: Simply pop up on the Raspberry Pi to use
Description
The reSpeaker 4-Mic Array is the voice user interface for Raspberry Pi Series, which has been equipped with 4 analogue microphones and AC108 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 a 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.
Application
- Voice Interaction Learning
- Secondary Software Development
- Voice-based remote-control cars
Practical Tools Utilization
We here publish some widely useful tools that can be used in reSpeaker, for your convenience.
Enabling Voice Recognition at Edge with Picovoice
Picovoice enables enterprises to innovate and differentiate rapidly with private voice AI. Build a unified AI strategy around your brand and products with our speech recognition and Natural-language understanding (NLU) technologies.
Seeed has partnered with Picovice to bring Speech Recognition solutions on the edge using ReSpeaker 4 Mic for developers. You can follow up on the wiki to configure the ReSpeaker with Raspberry Pi before using Picovoice.
Specifications
|
Specification |
Details |
|
MIC |
4 analog microphones |
|
LED |
12 APA102 programable RGB LEDs, connected to SPI interface |
|
Raspberry Pi 40-Pin Headers |
Support Raspberry Pi Zero, Raspberry Pi 1B+/2B/3B/3B+/4B |
|
AC108 codec |
Highly integrated quad-channel ADC with I2S/TDM output transition |
|
Software Algorithm |
VAD(Voice Activity Detection), DOA(Direction of Arrival) and KWS(Keyword Search) |
|
Grove |
2 Grove Interfaces |
|
Voice Capture Distance |
3 meters radius voice capture |
|
Battery |
Exclude |
|
Dimensions |
65mm x65mm x9mm |
|
Weight |
G.W 38g |
Part List
| reSpeaker 4-Mic Array for Raspberry Pi | x1 |
Attention
Due to the product software service life cycle having expired, Seeed Studio has ceased updating and maintaining software algorithms for the reSpeaker family of products. This series of products is only used as a recording playback module, all algorithm functions need to be developed by yourself.
Note
-
Please note that the package does not contain Raspberry Pi.
-
Please note that there are no audio output interfaces on ReSpeaker 4-Mic Array for Raspberry Pi. It is only for voice capture. And you could use the headphone jack on Raspberry Pi for audio output.
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