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README.md

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+# 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
+
 ---
 license: cc-by-4.0
 ---