I’ve been running piCorePlayer for a long time, first with LMS and more recently with Music Assistant. It’s really simple to set up and has many interesting features (like an optional built-in LMS) that I wasn’t using anyway.
I’ve been watching Home Assistant’s Year of Voice project with interest and was about to order an Atom Echo from M5Stack when I realized that the music players I already have scattered around the house should be able to process voice too without much trouble.
First step was to replace piCorePlayer with a Raspberry Pi OS so I’d be working with a more conventional Linux environment. I started with Raspberry Pi Imager to create an SD card. I installed the Lite version since I wasn’t planning on using the UI and configured SSH. Once it booted up I saw that it had already expanded storage so I was ready to start installing the player.
A couple of things I had to get out of the way first. I’m still using that cheap Ethernet adapter so I had to follow this guide first and reboot. Next up, I noticed that the squeezelite package wants to install all kinds of UI things. I thought it would be a good idea to disable all of that before I got started. Create a file named /etc/apt/apt.conf.d/99_norecommend
APT::Install-Recommends "false";
APT::AutoRemove::RecommendsImportant "false";
APT::AutoRemove::SuggestsImportant "false";That will keep apt from installing recommended or suggested packages (like an X11 server).
Next, we can install squeezelite. You can type this all on one line or just cut/paste the whole block:
sudo apt-get update &&
sudo apt-get upgrade &&
sudo apt-get install squeezeliteYou may want to go into /etc/default/squeezelite and see if you want to change anything. I changed the player name and increased the ALSA buffer size as recommended here.
Reboot and we should see the player.
The next step is to install Wyoming Satellite. Follow the instructions on that page. I’m using an old Raspberry Pi Zero (not even W). If you’re starting from scratch, the Zero 2W looks like a better choice since it can do local wake word detection.
When I tried adding the Audio Enhancements I hit the following error:
Traceback (most recent call last):
File ".../wyoming-satellite-master/script/run", line 12, in
subprocess.check_call([context.env_exe, "-m", "wyoming_satellite"] + sys.argv[1:])
File "/usr/lib/python3.11/subprocess.py", line 413, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['.../wyoming-satellite-master/.venv/bin/python3', '-m', 'wyoming_satellite', '--name', 'Wyoming Satellite', '--uri', 'tcp://0.0.0.0:10700', '--mic-command', 'arecord -r 16000 -c 1 -f S16_LE -t raw -D default:CARD=Device_1', '--snd-command', 'aplay -r 22050 -c 1 -f S16_LE -t raw', '--wake-uri', 'tcp://...:10400', '--wake-word-name', 'ok_nabu', '--mic-auto-gain', '10', '--mic-noise-suppression', '2']' died with ...Seems that the binaries in the webrtc-noise-gain package aren’t compatible (at least with the Pi Zero). The solution was to build them which takes a rather long time…
sudo apt-get install python3-dev
. .venv/bin/activate
pip3 install –no-binary ‘:all:’ webrtc-noise-gain==1.2.3
It took a few hours but it works!
Play around with the audio enhancements settings to see what works for you.
I suggest adding an automation to pause the player as soon as the wake word is detected.