NVIDIA Riva Speech Skills

v1.10.0-beta
Version select:

About

Quick Start Guide
Release Notes
Support Matrix
Best Practices

Services and Models

Overview
Speech Recognition
Natural Language Processing
Speech Synthesis
Deploying Your Custom Model into Riva
- Build process
- Deploy process
  - Option 1: Using Quick Start Scripts to Deploy Your Models (Recommended path)
  - Option 2: Using riva-deploy and the Riva Speech Container (Advanced)

Client Integration

gRPC API
- Generating Bindings
- Tutorial
Python API
- Installation
- Python Example
Command-line Clients

Server Deployment

Local (Docker)
Kubernetes
NVIDIA Fleet Command
- Application Setup
- Deployment Setup
Performance

Reference

gRPC & Protocol Buffers
NGC Artifacts
Troubleshooting
Acknowledgements
- Google APIs
- GoogleTest
- gflags
- Google Logging Library (glog)
- speexdsp
- libFLAC
- gRPC
- Triton Inference Server
- NVlabs cub
- KenLM
- Kaldi
- grpc_health_probe
- gRPCurl
- OpenFST
- Yamale
- PyTorch
- requests
- PyCUDA
- RapidJSON
- protobuf
- onnx
- librosa
- omegaconf
- utf8proc
- re2
- thrax
- Sparrowhawk
- SentencePiece
- YouTokenToMe

Sample Applications

SpeechSquad
Virtual Assistant
Virtual Assistant (with Rasa)
Virtual Assistant (with Google Dialogflow)
Contact Center Video Conference
Deploying Riva ASR Service on AWS EKS

Sample Notebooks

Python API Examples
Wikipedia Question Answering
- Wikipedia Summary
- Query Riva Server

Notices

License
- Virtual Assistant (with Rasa)
- Virtual Assistant (with Google Dialogflow)
Notice

NVIDIA Riva Speech Skills

Docs »
Directory services

Directory services¶

↰ Parent directory (riva)

Directory path: riva/services

Files¶

File grpc_health.h

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