Rhino - Android API

Speech-to-Intent Engine
Domain Specific NLU
Offline SLU
Local Voice Recognition
Android
Java

This document outlines how to integrate Rhino Spech-to-Intent engine within an Android application.

Prerequisites

Rhino is implemented in ANSI C and is shipped as precompiled libraries accompanied by corresponding Java interfaces (bindings). To integrate within an Android application the following items are needed

Precompiled libraries
Java binding
The model file. The standard model is freely available on Rhino's GitHub repository. Enterprises who are commercially engaged with Picovoice can access compressed and standard models as well.
Context model file for your use case. A set of freely-available context files can be found on Rhino's GitHub repository. Enterprises who are engaged with Picovoice can create custom NLU models using Picovoice Console.

Integration

Rhino provides a binding for Android using JNI. It can be initialized using:

final String modelFilePath = ...
final String contextFilePath = ...
    
Rhino rhino = new Rhino(modelFilePath, contextFilePath);

Once initialized, rhino can be used for intent inference:

private short[] getNextAudioFrame();
while (rhino.process(getNextAudioFrame()));
if (rhino.isUnderstood()) {
    RhinoIntent intent = rhino.getIntent();
    // logic to perform an action given the intent object.
} else {
    // logic for handling out of context or unrecognized command
}

When finished processing, be sure to reset the object before processing a new stream of audio via:

rhino.reset()

Finally, prior to exiting the application be sure to release resources acquired via:

rhino.delete()