canary-1b-asr Model by NVIDIA

Getting Started

Riva uses gRPC APIs. Instructions below demonstrate usage of canary-1b-asr model using Python gRPC client.

Prerequisites

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

Install Riva Python Client

pip install 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

Make sure you have a speech file in Mono, 16-bit audio in WAV, OPUS and FLAC formats. If you have generated the API key, it will be auto-populated in the command. Open a command terminal and execute below command to transcribe audio. If you know the source language, it is recommended to pass source_language in custom configuration parameter.

Below command demonstrates transcription of English audio file.

python python-clients/scripts/asr/transcribe_file_offline.py \
    --server grpc.nvcf.nvidia.com:443 --use-ssl \
    --metadata function-id "b0e8b4a5-217c-40b7-9b96-17d84e666317" \
    --metadata "authorization" "Bearer $NVIDIA_API_KEY" \
    --language-code en-US \
    --input-file <path_to_audio_file>

Below command demonstrates translation from English audio to Hindi.

python python-clients/scripts/asr/transcribe_file_offline.py \
    --server grpc.nvcf.nvidia.com:443 --use-ssl \
    --metadata function-id "b0e8b4a5-217c-40b7-9b96-17d84e666317" \
    --metadata "authorization" "Bearer $NVIDIA_API_KEY" \
    --language-code en-US \
    --custom-configuration "target_language:hi-IN,task:translate" \
    --input-file <path_to_audio_file>

One can transcribe and translate supported languages by changing the source language via --language-code and target language via target_language parameter.

Support for gRPC clients in other programming 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.