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NVIDIA
NVIDIA

parakeet-ctc-1.1b-asr

Downloadable

Record-setting accuracy and performance for English transcription.

Get API Key
API Reference
Accelerated by DGX Cloud

Riva supports gRPC, HTTP and Realtime APIs.

Inference using HTTP API

Inference using HTTP API. Replace <path_to_audio_file> with the full path of the wav file to be transcribed.

curl -s https://1598d209-5e27-4d3c-8079-4751568b1081.invocation.api.nvcf.nvidia.com/v1/audio/transcriptions \
     -H "Authorization: Bearer $NVIDIA_API_KEY" \
     -F language=en-US \
     -F word_time_offsets=True \
     -F file="@<path_to_audio_file>"

Inference using gRPC API

Instructions below demonstrate usage of parakeet-ctc-1_1b-asr 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 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 "1598d209-5e27-4d3c-8079-4751568b1081" \
    --metadata "authorization" "Bearer $NVIDIA_API_KEY" \
    --language-code en-US \
    --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.