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    NVIDIA

    fastpitch-hifigan-tts

    DeprecatedDownloadable

    Expressive and engaging English voices for Q&A assistants, brand ambassadors, and service robots

    • Nvidia nim
    • Text-to-Speech
    Get API Key
    API ReferenceAPI Reference
    Accelerated by DGX Cloud
    Deploying your application in production? Get started with a 90-day evaluation of NVIDIA AI Enterprise

    Follow the steps below to download and run the NVIDIA NIM inference microservice for this model on your infrastructure of choice.

    Step 1
    Generate API Key

    Step 2
    Pull and Run the NIM

    $ docker login nvcr.io
Username: $oauthtoken
Password: <PASTE_API_KEY_HERE>

    Refer to Supported Models for full list of models.

    export NGC_API_KEY=<PASTE_API_KEY_HERE>

export CONTAINER_NAME=fastpitch-hifigan-tts
docker run -it --rm --name=$CONTAINER_NAME \
  --runtime=nvidia \
  --gpus '"device=0"' \
  --shm-size=8GB \
  -e NGC_API_KEY=$NGC_API_KEY \
  -e NIM_HTTP_API_PORT=9000 \
  -e NIM_GRPC_API_PORT=50051 \
  -p 9000:9000 \
  -p 50051:50051 \
  -e NIM_TAGS_SELECTOR=name=fastpitch-hifigan-en-us \
  nvcr.io/nim/nvidia/riva-tts:1.3.0

    It may take a up to 30 minutes depending on your network speed, for the container to be ready and start accepting requests from the time the docker container is started.

    Step 3
    Test the NIM

    Open a new terminal and run following command to check if the service is ready to handle inference requests

    curl -X 'GET' 'http://localhost:9000/v1/health/ready'

    If the service is ready, you get a response similar to the following.

    {"ready":true}

    Install the Riva Python client package

    sudo apt-get install python3-pip
pip install nvidia-riva-client

    Download Riva sample clients

    git clone https://github.com/nvidia-riva/python-clients.git

    Run Text to Speech inference

    python3 python-clients/scripts/tts/talk.py --server 0.0.0.0:50051 --text "Hello, this is a speech synthesizer." --language-code en-US --output output.wav

    On running the above command, the synthesized audio file named output.wav will be created.

    For more details on getting started with this NIM, visit the NVIDIA NIM Docs.