nvidia
magpie-tts-multilingual
RUN ANYWHERENatural and expressive voices in multiple languages. For voice agents and brand ambassadors.
Getting Started
Riva uses gRPC APIs. Instructions below demonstrate usage of magpie-tts-multilingual 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
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 $API_KEY_REQUIRED_IF_EXECUTING_OUTSIDE_NGC" \ --text "this audio is generated from nvidia's text to speech model" \ --voice "Magpie-Multilingual.EN-US.Female.Female-1" \ --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 $API_KEY_REQUIRED_IF_EXECUTING_OUTSIDE_NGC" \ --list-voices
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.