README.md

metadata

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

RIVA

Look here 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