Rhino Speech-to-Intent
Python Quick Start
This document outlines how to integrate Rhino Speech-to-Intent engine within an application using its Python API.
Platforms
- Linux (x86_64)
- macOS (x86_64, arm64)
- Windows (x86_64)
- Raspberry Pi (Zero, 3, 4, 5)
Requirements
- Picovoice Account & AccessKey
- Python 3.7+
- PIP
Picovoice Account & AccessKey
Signup or Login to Picovoice Console to get your AccessKey
.
Make sure to keep your AccessKey
secret.
Quick Start
Setup
Install Python 3.
Install the pvrhino Python package using PIP:
Usage
Create an instance of Rhino Speech-to-Intent engine that infers intent from spoken commands within a given context:
Pass in frames of audio to the .process
function and use the .get_inference
function:
Release resources explicitly when done with Rhino Speech-to-Intent:
Custom Contexts
Create custom context using the Picovoice Console.
Download the custom context file (.rhn
) and create an instance of Rhino Speech-to-Intent using the context_path
input argument:
Non-English Languages
Use the corresponding model file (.pv
), to detect non-English contexts.
The model files for all supported languages are available
on the Rhino Speech-to-Intent GitHub repository.
Pass in the model file using the model_path
input argument to change the detection language:
Demo
For the Rhino Speech-to-Intent Python SDK, we offer demo applications that demonstrate how to use the Speech-to-Intent engine on real-time audio streams (i.e. microphone input) and audio files.
Setup
Install the pvrhinodemo Python package using PIP:
This package installs command-line utilities for the Rhino Speech-to-Intent Python demos.
Usage
Use the --help
flag to see the usage options for the demo:
Ensure you have a working microphone connected to your system and run the following command to infer intent from spoken commands:
For more information on our Rhino Speech-to-Intent demos for Python, head over to our GitHub repository.