ReSpeaker 4-Mic Array for Raspberry Pi
ReSpeaker 4-Mic Array for Raspberry Pi is a quad-microphone expansion board for Raspberry Pi designed for AI and voice applications. This means that we can build a more powerful and flexible voice product that integrates Amazon Alexa Voice Service, Google Assistant, and so on.
Different from ReSpeaker 2-Mics Pi HAT, this board is developed based on AC108, a highly integrated quad-channel ADC with I2S/TDM output transition for high definition voice capture, which allows the device to pick up sounds in a 3 meters radius. Besides, this 4-Mics version provides a super cool LED ring, which contains 12 APA102 programable LEDs. With that 4 microphones and the LED ring, Raspberry Pi would have ability to do VAD(Voice Activity Detection), estimate DOA(Direction of Arrival), do KWS(Keyword Search) and show the direction via LED ring, just like Amazon Echo or Google Home.
- Raspberry Pi compatible(Support Raspberry Pi Zero and Zero W, Raspberry Pi B+, Raspberry Pi 2 B, Raspberry Pi 3 B and Raspberry Pi 3 B+)
- 4 Microphones
- 3 meters radius voice capture
- 2 Grove Interfaces
- 12 APA102 User LEDs
- Software Algorithm: VAD(Voice Activity Detection), DOA(Direction of Arrival) and KWS(Keyword Search)
There is no audio output interface on ReSpeaker 4-Mic Array for Raspberry Pi. It is only for voice capture. We can use the headphone jack on Raspberry Pi for audio output.
- Voice Interaction Application
- AI Assistant
- 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 1 B+, Raspberry Pi 2 B, Raspberry Pi 3 B and Raspberry Pi 3 B+
- AC108: highly integrated quad-channel ADC with I2S/TDM output transition
- I2C: Grove I2C port, connected to I2C-1
- GPIO12: Grove digital port, connected to GPIO12 & GPIO13
If we want to use the APA102 RGB LEDs, please write HIGH to
GPIO5 first to enable VCC of the LEDs.
Connect ReSpeaker 4-Mic Array to Raspberry Pi
Mount ReSpeaker 4-Mic Array on Raspberry Pi, make sure that the pins are properly aligned when stacking the ReSpeaker 4-Mic Array for Raspberry Pi.
Hot-plugging ReSpeaker 4-Mic Array is not allowed.It will damage the respeaker.
The AC108 codec is not supported by Pi kernel builds currently, we have to build it manually.
Step 1. Please Make sure running the lastest Raspbian Operating System(debian 9) on Pi. (updated at 2018.11.13)
Step 2. Get the seeed voice card source code.
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sudo apt-get update sudo apt-get upgrade git clone https://github.com/respeaker/seeed-voicecard.git cd seeed-voicecard sudo ./install.sh reboot
- Step 3. Then select the headphone jack on Raspberry Pi for audio output:
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sudo raspi-config # Select 7 Advanced Options # Select A4 Audio # Select 1 Force 3.5mm ('headphone') jack # Select Finish
- Step 4. Check that the sound card name looks like this:
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pi@raspberrypi:~/seeed-voicecard $ arecord -L null Discard all samples (playback) or generate zero samples (capture) playback capture dmixed array ac108 default:CARD=seeed4micvoicec seeed-4mic-voicecard, Default Audio Device sysdefault:CARD=seeed4micvoicec seeed-4mic-voicecard, Default Audio Device dmix:CARD=seeed4micvoicec,DEV=0 seeed-4mic-voicecard, Direct sample mixing device dsnoop:CARD=seeed4micvoicec,DEV=0 seeed-4mic-voicecard, Direct sample snooping device hw:CARD=seeed4micvoicec,DEV=0 seeed-4mic-voicecard, Direct hardware device without any conversions plughw:CARD=seeed4micvoicec,DEV=0 seeed-4mic-voicecard, Hardware device with all software conversions
If we want to change the alsa settings, we can use
sudo alsactl --file=ac108_asound.state store to save it. And when we need to use the settings again, copy it to:
sudo cp ~/seeed-voicecard/ac108_asound.state /var/lib/alsa/asound.state
- Step 5. Open Audacity and select AC108 & 4 channels as input and bcm2835 alsa: - (hw:0:0) as output to test:
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$ sudo apt update $ sudo apt install audacity $ audacity // run audacity
- Step 6. Or we could record with
arecordand play with
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arecord -Dac108 -f S32_LE -r 16000 -c 4 hello.wav // only support 4 channels aplay hello.wav // make sure default device // Audio will come out via audio jack of Raspberry Pi
Play with APA102 LEDs
Each on-board APA102 LED has an additional driver chip. The driver chip takes care of receiving the desired color via its input lines, and then holding this color until a new command is received.
- Step 1. Activate SPI:
- sudo raspi-config
- Go to "Interfacing Options"
- Go to "SPI"
- Enable SPI
- Exit the tool
- Step 2. Get APA102 LEDs Library and examples
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pi@raspberrypi:~ $ cd /home/pi pi@raspberrypi:~ $ git clone https://github.com/respeaker/4mics_hat.git pi@raspberrypi:~ $ cd /home/pi/4mics_hat pi@raspberrypi:~/4mics_hat $ sudo apt install python-virtualenv # install python virtualenv tool pi@raspberrypi:~/4mics_hat $ virtualenv --system-site-packages ~/env # create a virtual python environment pi@raspberrypi:~/4mics_hat $ source ~/env/bin/activate # activate the virtual environment (env) pi@raspberrypi:~/4mics_hat $ pip install spidev gpiozero # install spidev and gpiozero
- Step 3. Then run the example code under virtualenv, now we can see the LEDs blink like Google Assistant.
(env) pi@raspberrypi:~/4mics_hat $ python pixels_demo.py
DOA with Keywords
With DoA(Direction of Arrial), ReSpeaker 4-Mic Array is able to find the direction where the sound source is located.
- Step 1. setup voice engine
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pi@raspberrypi:~ $ source ~/env/bin/activate # activate the virtual, if we have already activated, skip this step (env) pi@raspberrypi:~ $ cd ~/4mics_hat (env) pi@raspberrypi:~/4mics_hat $ sudo apt install libatlas-base-dev # install snowboy dependencies (env) pi@raspberrypi:~/4mics_hat $ sudo apt install python-pyaudio # install pyaudio (env) pi@raspberrypi:~/4mics_hat $ pip install ./snowboy*.whl # install snowboy for KWS (env) pi@raspberrypi:~/4mics_hat $ pip install ./webrtc*.whl # install webrtc for DoA (env) pi@raspberrypi:~/4mics_hat $ cd ~/ (env) pi@raspberrypi:~ $ git clone https://github.com/voice-engine/voice-engine (env) pi@raspberrypi:~ $ cd voice-engine/ (env) pi@raspberrypi:~/voice-engine $ python setup.py install
- Step 2. Run the demo under virtualenv. Please wake up respeaker with saying
snowboyand we will see the direction.
(env) pi@raspberrypi:~/voice-engine $ cd ~/4mics_hat (env) pi@raspberrypi:~/4mics_hat $ python kws_doa.py
DOA without Keywords
- Step 1. Setup the dependency
sudo apt-get install portaudio19-dev pip install pyaudio
- Step 2. Run the vad_doa.py
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cd ~ git clone https://github.com/respeaker/mic_array.git cd mic_array python vad_doa.py
- Step 3. Here is the output.
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1111110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011111110111111111111111111 135 10000000000000000000000000000000000000000000000000000000000000011111111111111111 135 11111111111111111111 135 1001111111100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011111111110000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000111111111111111110000000 135 000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000011111111111111111 135
- Step 1. Get Alexa or Baidu authorization
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pi@raspberrypi:~ $ source ~/env/bin/activate # activate the virtual, if we have already activated, skip this step (env) pi@raspberrypi:~ $ cd ~/ (env) pi@raspberrypi:~ $ git clone https://github.com/respeaker/avs (env) pi@raspberrypi:~ $ cd avs # install Requirements (env) pi@raspberrypi:~/avs $ python setup.py install (env) pi@raspberrypi:~/avs $ sudo apt-get install gstreamer1.0-plugins-good gstreamer1.0-plugins-bad gstreamer1.0-plugins-ugly gir1.2-gstreamer-1.0 python-gi python-gst-1.0 (env) pi@raspberrypi:~/avs $ pip install tornado
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# note: this is in the VNC terminal pi@raspberrypi:~ $ source ~/env/bin/activate (env) pi@raspberrypi:~ $ alexa-auth
alexa-auth in the terminal to get Alexa authorization or run
dueros-auth to get Baidu authorization. The authorization file will be saved in
If we want to switch between
dueros-auth, please delete
/home/pi/.avs.json first. The file is hidden and use the
ls -la to list the file.
- Step 2. Let's Enjoy!
python ns_kws_doa_alexa_with_light.py under virtualenv, we will see lots of debug message rasing in the terminal. When we see status code: 204, try to wake up respeaker with saying
snowboy. Then the leds will light up, and now we can speak to it, for example, asking "who is the most handsome guy in the world?" or "Do you know how to beat-box?". Just enjoy it!
(env) pi@raspberrypi:~/avs $ cd ~/4mics_hat (env) pi@raspberrypi:~/4mics_hat $ python ns_kws_doa_alexa_with_light.py
STT(Speech to Text) SDK¶
This part will introduce Baidu STT(Speech to Text) functions together with GPIO control. Here is the GPIOs configuration. If you do not have a fan, You can connect 2 LEDs on GPIO12/GPIO13 to demonstrate.
|GPIO||Turn On||Faster||Slower||Turn Off|
- Step 1. Install dependiencies
sudo apt install mpg123 pip install baidu-aip monotonic pyaudio
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cd ~ wget https://github.com/SeeedDocument/MIC_HATv1.0_for_raspberrypi/raw/master/src/baidu_STT.zip unzip baidu_STT.zip cd baidu_STT python Smart_Fan.py
Please add baidu key @ line 36,37,38 before running python Smart_Fan.py. You also can generate your owner voice by running the synthesis_wav.py. Please do add baidu keys at line 6,7,8 and modify string to what you want to generate.
Step 4. Let's say '开风扇'.
Step 5. You will see the fan moving.
Step 6. Let's try '快一点', '慢一点' and '关风扇'.
Realtime Sound Source Localization and Tracking¶
ODAS stands for Open embeddeD Audition System. This is a library dedicated to perform sound source localization, tracking, separation and post-filtering. Let's have a fun with it.
- Step 1. Get ODAS and build it.
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sudo apt-get install libfftw3-dev libconfig-dev libasound2-dev libgconf-2-4 sudo apt-get install cmake git clone https://github.com/introlab/odas.git mkdir odas/build cd odas/build cmake .. make
Step 2. Get ODAS Studio and open it.
Step 3. The odascore will be at odas/bin/odaslive, the config file is at odas/config/odaslive/respeaker_4_mic_array.cfg.
Q1: How to change the Raspbian Mirrors source?
A1: Please refer to Raspbian Mirrors and follow below instructions to modify the source at begining.
pi@raspberrypi ~ $ sudo nano /etc/apt/sources.list
For example, we suggest use the tsinghua source for China users. So please modify the sources.list as below.
deb http://mirrors.tuna.tsinghua.edu.cn/raspbian/raspbian/ stretch main non-free contrib deb-src http://mirrors.tuna.tsinghua.edu.cn/raspbian/raspbian/ stretch main non-free contrib
Q2: We can hear the voice by aplay from the 3.5mm audio jack but we can't hear the voice when running ns_kws_doa_alexa_with_light.py
A2: We have 3 players (mpv, mpg123 and gstreamer) to use. SpeechSynthesizer and Alerts prefer mpg123 which is more responsive. AudioPlayer likes gstreamer > mpv > mpg123. Gstreamer supports more audio format and works well on raspberry pi. We can also specify the player of AudioPlayer using the environment variable PLAYER. So please try below commands to enable the voice.
sudo apt install mpg123 PLAYER=mpg123 python ns_kws_doa_alexa_with_light.py
Q3: There is no response When we run kws_doa.py and say snowboy
A3: Please run audacity to make sure 4 channels are good. If there is one channel without data, there will be no response when we say snowboy.
Q4: #include "portaudio.h" Error when run "sudo pip install pyaudio".
A4: Please run below command to solve the issue.
sudo apt-get install portaudio19-dev
- [PDF] ReSpeaker 4-Mic Array for Raspberry Pi(PDF)
- [DXF] ReSpeaker 4-Mic Array for Raspberry Pi v1.0
- [3D] ReSpeaker 4-Mic Array for Raspberry Pi v1.0 3D Model
- [AC108] AC108 DataSheet
- [Driver] Seeed-Voice Driver
- [Algorithms] Algorithms includes DOA, VAD, NS
- [Voice Engine Voice Engine project, provides building blocks to create voice enabled objects
- [Algorithms] AEC