Here’s the documentation: https://rhasspy.readthedocs.io/en/latest/
And yes we have several German speakers that are using Rhasspy.
Here’s the documentation: https://rhasspy.readthedocs.io/en/latest/
And yes we have several German speakers that are using Rhasspy.
Cool thank you.
Will start implementing tomorrow. Just read the docs in the Github rep and like it so far
Selecting Kaldi for speech to text works great for german. Runs fine on a pi4.
Couldn’t wait and started installing already
Any more recommendations for germans? (wakeword etc…)?
For text to speech picoTTS sound decent and works without problems.
Good Wakeword detection was the hardest part for me. I am using precise at the moment as it works best for custom wakewords, but that does not seem like an option for you as it does not run well on a pizero(if at all ).
Snowboy with the wakeword snowboy is usable for german from my experience if you set the sensitivity relatively high.
Wakeword Choice for German
I am also using Kaldi and PicoTTS (it’s OK, but compared to Google or Amazon it is still really bad ).
Wake word is an issue. I am currently using porcupine with one of the universal models. Problem: I don’t really like the wake word choices. All feel weird to say for native german speaker and not easy to pronounce without some German accent. I am currently using “pico voice” as wake word. It recognizes me most of the time and very few false activates.
@moqart
I am thinking about making my only custom wake word with precise. How did you do it (source of the training data?)
Is it possible to use rhasspy with Amazon Pollylike it was with Snips?
Have you tried MaryTTS? I don’t know the quality of the German voices, but I’m using the voice dfki-prudence-hsmm for English and it’s really enjoyable.
@DanielW If you want more information on training a custom wakeword model with mycroft precise take a look at this Mycroft Precise Model .
I followed the instructions from mycroft for training your own wakeword model.
What kind of hardware are you running your system on?
How fast does Mary TTS work on a pi4 ?
I wrote down some of my experiences about training a custom wake word here in this post Mycroft Precise Model Problem (computer-en.pb) especially with training a noise resistent model.
This is on a Raspberry Pi 4. I haven’t benchmarked it, but it’s fast enough for me.
I just tried the three German voices but there is no huge difference in quality compared to PicoTTS for me. But it uses more RAM and CPU. (it is OK on a Pi 4. But longer texts will slow down Rhasspy)
Got it up and running. Will first create functionality and try around with different voices later
Have a look at this:
https://rhasspy.github.io/rhasspy-voltron/tutorials.html#shared-mqtt-broker
It explains, how to setup master/satellite with Rhasspy as you are used to with snips.
Of course, no problem, really works well
What mics are you using? Respeaker or Matrix or …?
If Respeaker or Matrix have a look at HLC LED Control in this forum. Just to light up your LEDs, triggered by event
I use the PSeye cam on the big Raspi which is working great. Later I want to try my zeros with a two mic platine attached (may check for the name later) which was working great with snips before. I think those satellites have an LED I might start.
I found the respeakers just to expensive when creating multiple devices. Mist are even placed where they are invisible
I think my other mics are seeed hats if I remember correct.
Hi @koan how did you get your setup to work with MaryTTS.
The play back speed is sped up as if it is fast-forwarded.
Could you give some pointers?