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Table of contents
  1. Important this is not working on the Raspberry Pi!
  2. Mozilla TTS
  3. Pros
  4. Cons
  5. Install
    1. Auto Linux x86/x64
    2. Manual for testing arm

Important this is not working on the Raspberry Pi!

Mozilla TTS

Mozilla TTS is the counter part to deepspeech. Mozilla TTS is build on a neural network, and gets really impressive results. During implementation we find out that Mozilla TTS runs too slow on an Raspberry.


  • Good pronunciation
  • Clear and fluid language
  • A pretrained german model with a male voice is available
  • It’s possible to create an own dataset with an own voice (24h audio files are needed)


  • It’s not fast, it runs really really slow on a Raspberry Pi for the weather forecast it takes 1 minutes and 17 seconds to answer.
  • The most datasets are in english (only one German)
  • When you want to train your own dataset it takes long time
  • It can not read long text. When the text is to long it starts to stutter and whisper.


Auto Linux x86/x64

The automatic installation only worked for linux x86 or x64 and NOT on armv:

git clone
mkdir .venv
virtualenv -p python3 .venv
source .venv/bin/activate
chmod +x ./
MQTTMozillaTTSGerman --tts_model /home/pi/.config/rhasspy/profiles/de/TTS/tts_model.pth.tar --tts_config /home/pi/.config/rhasspy/profiles/de/TTS/config.json --vocoder_model /home/pi/.config/rhasspy/profiles/de/TTS/vocoder_model.pth.tar --vocoder_config /home/pi/.config/rhasspy/profiles/de/TTS/config_vocoder.json

Manual for testing arm

This manual installation for armv. There is no service or something similar. Actually it’s only for testing: Download MQTTMozillaTTSGerman:

git clone
mkdir .venv
virtualenv -p python3 .venv
source .venv/bin/activate

Build pytorch:

# Download the repository anc checkout v1.5.0
git clone
cd pytorch 
git checkout tags/v1.5.0
git submodule update --init --recursive

# Install all libraries
sudo apt install libopenblas-dev libblas-dev m4 cmake cython python3-dev python3-yaml python3-setuptools libatomic-ops-dev
pip install pyyaml
# Add libatomic-ops-dev to the linker
# Setup build parameter
export NO_CUDA=1
export NO_MKLDNN=1
export BUILD_TEST=0
export MAX_JOBS=4
export NO_NNPACK=1
export NO_QNNPACK=1

# Build
python build
# Install 
python install

# Build wheel file
# bdist_wheel
# Install wheel file
# pip install dist/*

Go back to the MQTTMozillaTTSGerman folder:

cd <path to MQTTMozillaTTSGerman folder>

Now download Mozilla TTS:

git clone
cd TTS
git checkout 540d811
pip install -r requirements.txt
pip install .

Go back to the MQTTMozillaTTSGerman folder:

cd <path to MQTTMozillaTTSGerman folder>

Install other requirements:

pip install -r requirements.txt

Now download the dataset:

gdown --id 1VG0EI7J6S1bk3h0q1VBc9ALExkdZdeVm -O tts_model.pth.tar
gdown --id 1s1GcSihlj58KX0LeA-FPFvdMWGMkcxKI -O config.json
gdown --id 1zYFHElvYW_oTeilvbZVLMLscColWRbck -O vocoder_model.pth.tar
gdown --id 1ye9kVDbatAKMncRMui7watrLQ_5DaJ3e -O config_vocoder.json

You can start it with this command:

./MQTTMozillaTTSGerman --tts_model ./tts_model.pth.tar --tts_config ./config.json --vocoder_model ./vocoder_model.pth.tar --vocoder_config ./config_vocoder.json