Riva Speech Skills Tutorials

The best way to get started with Riva is to start with the tutorials.

Tutorials

Domain	Tutorial	Key Words	Github URL
ASR	How do I use Riva ASR APIs with out-of-the-box models?	ASR, API Basics	Riva ASR - API Basics
ASR	How to Improve Recognition of Specific Words	ASR, Customization	Riva ASR - Customization Overview
ASR	How do I boost specific words at runtime with word boosting?	ASR, Customization, Word Boosting	Riva ASR - Customization - Word Boosting
ASR	How to Customize Riva ASR Vocabulary and Pronunciation with Lexicon Mapping	ASR, Customization, Custom Vocab, Lexicon Mapping	Riva ASR - Customization - Vocab and Lexicon Mapping
ASR	How to pretrain a Riva ASR Language Modeling (n-gram) with TAO Toolkit	ASR, Customization, Language Model pretraining, n-gram, TAO Toolkit	Riva ASR - Customization - Language Model (n-gram) pretraining with TAO Toolkit
ASR	How to fine-tune a Riva ASR Acoustic Model (Citrinet) with TAO Toolkit	ASR, Customization, Acoustic Model fine-tuning, Citrinet, TAO Toolkit	Riva ASR - Customization - Acoustic Model (Citrinet) fine-tuning with TAO Toolkit
ASR	How to deploy custom Acoustic Model (Citrinet) trained with TAO Toolkit on Riva	ASR, Customization, Acoustic Model deployment, Citrinet	Riva ASR - Customization - Acoustic Model (Citrinet) deployment on Riva
ASR	The Making of RIVA German ASR Service	ASR, New Language Adaptation, German	Riva ASR - German
ASR	The Making of RIVA Hindi ASR Service	ASR, New Language Adaptation, Hindi	Riva ASR - Hindi
ASR	The Making of RIVA Mandarin ASR Service	ASR, New Language Adaptation, Mandarin	Riva ASR - Mandarin
TTS	How do I use Riva TTS APIs with out-of-the-box models?	TTS, API Basics, Customization, SSML, Pitch, Rate, Pronunciation, emphasis, sub	Riva TTS - API Basics and Customization with SSML
TTS	How to Deploy a custom TTS Models (FastPitch and HiFi-GAN) trained with TAO Toolkit Riva	TTS, Customization, FastPitch, HiFiGAN, Deployment	Riva TTS - Customization - FastPitch and HiFiGAN deployment on Riva
Deploy	How to Deploy Riva at Scale on AWS with EKS	Deploy, AWS EKS	Riva - Deploy - AWS EKS

Requirements and Setup

Running the NVIDIA Riva Tutorials

This section covers the Requirements and Setup needed to run all Riva Tutorials.

Requirements

Before you try running the NVIDIA Riva tutorials, ensure you meet the following requirements:

• Python 3

Setup

1. Clone the NVIDIA Riva tutorials repository. git clone https://github.com/nvidia-riva/tutorials.git cd tutorials

2. Create a Python virtual environment - We will be using this virtual environment to install all the depencies needed for Riva tutorials. python3 -m venv venv-riva-tutorials

3. Activate the Python virtual environment we just created. . venv-riva-tutorials/bin/activate

4. Install Jupyter notebook. pip3 install jupyter

5. Create an IPython kernel - The Riva tutorials Jupyter notebooks will be using this kernel in the next step. ipython kernel install --user --name=venv-riva-tutorials

6. Start the Jupyter notebooks server. jupyter notebook --allow-root --port 8888 If you have a browser installed on your machine, the notebook should automatically open. If you do not have a browser, copy/paste the URL from the command. Once you open a Riva tutorial notebook on a browser, choose the venv-riva-tutorials kernel by Kernel -> Change kernel -> venv-riva-tutorials

Running the Riva Client

Requirements

Before you try running the Riva client, ensure you meet the following requirements:

• You have access and are logged into NVIDIA NGC. For step-by-step instructions, refer to the NGC Getting Started Guide.
• Python 3

Setup

1. [Optional] If using the venv-riva-tutorials (or another) Python virtual environment, activate it. . <Python virtual environment directory location>/venv-riva-tutorials/bin/activate

2. Install nvidia-riva-client using pip.

pip install nvidia-riva-client

Alternatively, you can install from source nvidia-riva/python-clients.

Copyright and License

Copyright 2022 NVIDIA Corporation. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.