---
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