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    NVIDIA

    magpie-tts-multilingual

    Downloadable

    Natural and expressive voices in multiple languages. For voice agents and brand ambassadors.

    • NVIDIA NIM
    • Nemotron Speech
    • TTS
    • multilingual
    • Text-to-Speech
    Get API Key
    API ReferenceAPI Reference
    Accelerated by DGX Cloud

    Nemotron Speech supports gRPC and HTTP APIs.

    Inference using HTTP API

    List available voices:

    curl -s https://877104f7-e885-42b9-8de8-f6e4c6303969.invocation.api.nvcf.nvidia.com/v1/audio/list_voices \
         -H "Authorization: Bearer $NVIDIA_API_KEY"
    

    Synthesize speech. Replace text, language, and voice values as needed.

    curl -s -X POST https://877104f7-e885-42b9-8de8-f6e4c6303969.invocation.api.nvcf.nvidia.com/v1/audio/synthesize \
         -H "Authorization: Bearer $NVIDIA_API_KEY" \
         -F "text=this audio is generated from nvidias text to speech model" \
         -F "language=en-US" \
         -F "voice=Magpie-Multilingual.EN-US.Aria" \
         -F "encoding=LINEAR_PCM" \
         -F "sample_rate_hz=44100" \
         --output audio.wav
    

    Inference using gRPC API

    Instructions below demonstrate usage of magpie-tts-multilingual model using Python gRPC client. For full API details refer gRPC API Reference.

    Prerequisites

    You will need a system with Git and Python 3+ installed.

    Install Nemotron Speech Python Client

    pip install -U nvidia-riva-client
    

    Download Python Client

    Download Python client code by cloning Python Client Repository.

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

    Run Python Client

    Open a command terminal and execute below command to synthesize audio from the example text. If you have generated the API key, it will be auto-populated in the command.

    python python-clients/scripts/tts/talk.py \
        --server grpc.nvcf.nvidia.com:443 --use-ssl \
        --metadata function-id "877104f7-e885-42b9-8de8-f6e4c6303969"  \
        --metadata authorization "Bearer $NVIDIA_API_KEY" \
        --language-code en-US \
        --text "this audio is generated from nvidia's text to speech model" \
        --voice "Magpie-Multilingual.EN-US.Aria" \
        --output audio.wav
    

    List of available voices can be obtained using below command.

    python python-clients/scripts/tts/talk.py \
        --server grpc.nvcf.nvidia.com:443 --use-ssl \
        --metadata function-id "877104f7-e885-42b9-8de8-f6e4c6303969"  \
        --metadata authorization "Bearer $NVIDIA_API_KEY" \
        --list-voices
    

    Support for gRPC clients in other languages

    Nemotron Speech uses gRPC APIs. Proto files can be downloaded from Nemotron Speech gRPC Proto files and compiled to target language using Protoc compiler. Example Nemotron Speech clients in C++ and Python languages are provided below.

    • Python Client Repository
    • C++ Client Repository