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---
license: cc-by-4.0
language:
- en
pipeline_tag: text-to-speech
tags:
- text-generation-inference
---
# GLaDOS
## Training
This was trained with the ipython notebok [HERE](https://github.com/davesarmoury/GLaDOS/blob/main/TrainNemo/Train_NeMo.ipynb)
## RIVA
Look here [https://docs.nvidia.com/deeplearning/riva/user-guide/docs/quick-start-guide.html](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/quick-start-guide.html)
### On Local Machine
pip3 install whl
pip3 install nemo2riva
nemo2riva --out hifigan.riva hifigan.nemo --key None
nemo2riva --out fastpitch.riva fastpitch.nemo --key None
scp .riva files to jetson under ~/RIVA/artifacts
### On Jetson
docker run --gpus all -it --rm \
-v /home/davesarmoury/RIVA/artifacts:/servicemaker-dev \
-v /home/davesarmoury/RIVA/riva_repo:/data \
--entrypoint="/bin/bash" \
nvcr.io/nvidia/riva/riva-speech:2.13.1-servicemaker-l4t-aarch64
riva-build speech_synthesis \
/servicemaker-dev/glados.rmir:tlt_encode \
/servicemaker-dev/glados_fastpitch.riva:tlt_encode \
/servicemaker-dev/glados_hifigan.riva:tlt_encode \
--voice_name=GLaDOS \
--sample_rate 22050
riva-deploy /servicemaker-dev/glados.rmir:tlt_encode /data/models
# Exit docker
ngc registry resource download-version nvidia/riva/riva_quickstart_arm64:2.13.1
cd riva_quickstart_arm64_v2.13.1
bash riva_init.sh
copy glados.riva files into riva models dir
riva_start.sh |