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Update TLT TTS notebooks #73

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Update TLT TTS notebooks #73

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update tao tts notebooks
blisc Sep 19, 2022
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bug fix
blisc Sep 26, 2022
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40 changes: 20 additions & 20 deletions README.md
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Expand Up @@ -4,7 +4,7 @@

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

## Tutorials
## Tutorials

| Domain | Tutorial | Key Words | Github URL |
|--------|----------|-----------|------------|
Expand All @@ -15,12 +15,12 @@ The best way to get started with Riva is to start with the tutorials.
| 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-python-advanced-tao-ngram-pretrain.ipynb) |
| 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-python-advanced-finetune-am-citrinet-tao-finetuning.ipynb) |
| 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-python-advanced-finetune-am-citrinet-tao-deployment.ipynb) |
| ASR | The Making of RIVA German ASR Service | ASR, New Language Adaptation, German | [Riva ASR - German](New-language-adaptation/German) |
| ASR | The Making of RIVA Hindi ASR Service | ASR, New Language Adaptation, Hindi | [Riva ASR - Hindi](New-language-adaptation/Hindi) |
| ASR | The Making of RIVA Mandarin ASR Service | ASR, New Language Adaptation, Mandarin | [Riva ASR - Mandarin](New-language-adaptation/Mandarin) |
| ASR | The Making of RIVA German ASR Service | ASR, New Language Adaptation, German | [Riva ASR - German](New-language-adaptation/German) |
| ASR | The Making of RIVA Hindi ASR Service | ASR, New Language Adaptation, Hindi | [Riva ASR - Hindi](New-language-adaptation/Hindi) |
| ASR | The Making of RIVA Mandarin ASR Service | ASR, New Language Adaptation, Mandarin | [Riva ASR - Mandarin](New-language-adaptation/Mandarin) |
| TTS | How do I use Riva TTS APIs with out-of-the-box models? | TTS, API Basics | [Riva TTS - API Basics](tts-python-basics.ipynb) |
| TTS | How do I customize Riva TTS audio output with SSML? | TTS, Customization, SSML, Pitch, Rate, Pronunciation | [Riva TTS - Customization - Customization with SSML](tts-python-advanced-customization-with-ssml.ipynb) |
| TTS | How to train Riva TTS models (FastPitch and HiFiGAN) with TAO Toolkit | TTS, Customization, FastPitch, HiFiGAN, Training, TAO Toolkit | [Riva TTS - Customization - FastPitch and HiFiGAN training with TAO Toolkit](tts-python-advanced-pretrain-tts-tao-training.ipynb) |
| TTS | How to train Riva TTS models (FastPitch and HiFiGAN) with TAO Toolkit | TTS, Customization, FastPitch, HiFiGAN, Training, TAO Toolkit | [Riva TTS - Customization - FastPitch and HiFiGAN training with TAO Toolkit](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/resources/texttospeech_notebook/files) |
| 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](tts-python-advanced-pretrain-tts-tao-deployment.ipynb) |
| Deploy | How to Deploy Riva at Scale on AWS with EKS | Deploy, AWS EKS | [Riva - Deploy - AWS EKS](deploy-eks.md) |

Expand All @@ -30,41 +30,41 @@ The best way to get started with Riva is to start with the 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](https://www.python.org/download/releases/3.0/)
Before you try running the NVIDIA Riva tutorials, ensure you meet the following requirements:
- [Python 3](https://www.python.org/download/releases/3.0/)

#### Setup
1. Clone the NVIDIA Riva tutorials repository.
``git clone https://github.com/nvidia-riva/tutorials.git``
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.
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.
3. Activate the Python virtual environment we just created.
``. venv-riva-tutorials/bin/activate``

4. Install Jupyter notebook.
``pip3 install jupyter``
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.
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.
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:
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](https://docs.nvidia.com/ngc/ngc-overview/index.html#registering-activating-ngc-account).
- [Python 3](https://www.python.org/download/releases/3.0/)
- [Python 3](https://www.python.org/download/releases/3.0/)

#### Setup

1. [Optional] If using the `venv-riva-tutorials` (or another) Python virtual environment, activate it.
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`.
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