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    NVIDIA

    parakeet-1.1b-rnnt-multilingual-asr

    Downloadable

    High accuracy and optimized performance for transcription in 25 languages

    • Automatic Speech Recognition
    • NVIDIA NIM
    • NVIDIA Riva
    • Speech-to-Text
    Get API Key
    API ReferenceAPI Reference
    Accelerated by DGX Cloud

    Getting Started

    Riva uses gRPC APIs. Instructions below demonstrate usage of parakeet-1_1b-rnnt-multilingual-asr model using Python gRPC client.

    Prerequisites

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

    Install Riva 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 transcribe audio. Make sure you have a speech file in 16-bit Mono format in WAV/OGG/OPUS container. If you have generated the API key, it will be auto-populated in the command.

    python python-clients/scripts/asr/transcribe_file.py \
    --server grpc.nvcf.nvidia.com:443 --use-ssl \
    --metadata function-id "71203149-d3b7-4460-8231-1be2543a1fca" \
    --metadata "authorization" "Bearer $NVIDIA_API_KEY" \
    --input-file <path_to_audio_file>

    Support for gRPC clients in other languages

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

    • Python Client Repository
    • C++ Client Repository