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Picovoice Platform
Android Quick Start

Platforms

  • Android (5.0+, API 21+)

Requirements

  • Picovoice Account and AccessKey
  • Android Studio
  • Android device with USB debugging enabled or Android simulator

Picovoice Account & AccessKey

Signup or Login to Picovoice Console to get your AccessKey. Make sure to keep your AccessKey secret.

Quick Start

Setup

  1. Install Android Studio .

  2. Include mavenCentral() repository in the top-level build.gradle. Then add the following to the app's build.gradle:

dependencies {
// ...
implementation 'ai.picovoice:picovoice-android:${LATEST_VERSION}' // replace with latest version
}
  1. Add the following to the app's AndroidManifest.xml file to enable recording with an Android device's microphone:
<uses-permission android:name="android.permission.INTERNET" />
<uses-permission android:name="android.permission.RECORD_AUDIO" />

Usage

Use the PicovoiceManager Builder to create an instance of PicovoiceManager using a Porcupine keyword file (.ppn), and a Rhino context file (.rhn):

import ai.picovoice.picovoice.*;
PicovoiceManager picovoiceManager = new PicovoiceManager.Builder()
.setAccessKey("${ACCESS_KEY}")
.setKeywordPath("${KEYWORD_FILE_PATH}")
.setWakeWordCallback(wakeWordCallback)
.setContextPath("${CONTEXT_FILE_PATH}")
.setInferenceCallback(inferenceCallback)
.build(context);
PicovoiceWakeWordCallback wakeWordcallback = new PicovoiceWakeWordCallback() {
@Override
public void invoke() {
// keyword detected
}
}
PicovoiceInferenceCallback inferenceCallback = new PicovoiceInferenceCallback() {
@Override
public void invoke(RhinoInference inference) {
if (inference.getIsUnderstood()) {
String intent = inference.getIntent();
Map<String, String> slots = inference.getSlots();
// take action based on inferred intent and slot values
} else {
// handle unsupported commands
}
}
}

Start audio capture and Picovoice Platform:

picovoiceManager.start();

Stop with:

picovoiceManager.stop();

Free resources used by picovoiceManager:

picovoiceManager.delete();
To use your own audio processing pipeline, check out the Low-Level API on the Picovoice GitHub repository .

Custom Wake Words & Contexts

Create custom wake words and contexts using the Picovoice Console . Download the custom models (.ppn and .rhn) and add them to the ${ANDROID_APP}/src/main/assets directory of your Android project. Pass in these file paths to the setKeywordPath and setContextPath builder methods. If the custom models are deployed with this method, paths should be relative to the assets directory.

Alternatively, if the model files are deployed to the device with a different method, the absolute paths to the files on device can be used.

Non-English Languages

Use the corresponding model file (.pv) to process non-English wake words and contexts. The model files for all supported languages are available on the Porcupine GitHub repository and the Rhino GitHub repository . Add these files under the ${ANDROID_APP}/src/main/assets directory of your Android project.

Pass in the model paths (relative to the assets directory or the absolute paths to the files on device) using setPorcupineModelPath and setRhinoModelPath builder methods to change the language:

PicovoiceManager picovoiceManager = new PicovoiceManager.Builder()
.setAccessKey("${ACCESS_KEY}")
.setKeywordPath("${KEYWORD_FILE_PATH}")
.setWakeWordCallback(wakeWordCallback)
.setContextPath("${CONTEXT_FILE_PATH}")
.setInferenceCallback(inferenceCallback)
.setPorcupineModelPath("${PORCUPINE_MODEL_FILE_PATH}")
.setRhinoModelPath("${RHINO_MODEL_FILE_PATH}")
.build(context);

Demo

For the Picovoice Android SDK, we offer demo applications that demonstrate how to use the Picovoice platform on real-time audio streams (i.e. microphone input).

Setup

Clone the Picovoice repository from GitHub using HTTPS:

git clone --recurse-submodules https://github.com/Picovoice/picovoice.git

Usage

  1. Open the Android Activity demo using Android Studio.
  2. Copy your AccessKey from Picovoice Console into the ACCESS_KEY variable in MainActivity.java .
  3. Go to Build > Select Build Variant... and select the language you would like to run the demo in (e.g. enDebug -> English, itRelease -> Italian)
  4. Run the application using a connected Android device or using an Android simulator.

The demo detects the chosen keyword only when the application is in focus. To run the demo in the background, check out the other Android demos on our Github repository .

Resources

Package

  • picovoice-android on Maven Central Repository

API

  • picovoice-android API Docs

GitHub

  • Picovoice Android SDK on GitHub
  • Picovoice Android demos on GitHub

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Picovoice Platform Android Quick Start
  • Platforms
  • Requirements
  • Picovoice Account & AccessKey
  • Quick Start
  • Setup
  • Usage
  • Custom Wake Words & Contexts
  • Non-English Languages
  • Demo
  • Setup
  • Usage
  • Resources
Platform
  • Leopard Speech-to-Text
  • Cheetah Streaming Speech-to-Text
  • Koala Noise Suppression
  • Eagle Speaker RecognitionBETA
  • Octopus Speech-to-Index
  • Porcupine Wake Word
  • Rhino Speech-to-Intent
  • Cobra Voice Activity Detection
  • Orca Text-to-SpeechWAITLIST
  • Falcon Speaker DiarizationWAITLIST
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