Porcupine Wake Word
Java Quick Start

Platforms

• Linux (x86_64)
• macOS (x86_64, arm64)
• Windows (x86_64)
• BeagleBone
• NVIDIA Jetson Nano
• Raspberry Pi (2, 3, 4)

Requirements

• Picovoice Account and AccessKey
• Java 11+

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 JDK 11+.

2. Install the Java binding from the Maven Central Repository at:

ai.picovoice:porcupine-java:${version}

Usage

Create an instance of Porcupine that detects the included built-in wake words porcupine and bumblebee:

import ai.picovoice.porcupine.*;

Porcupine porcupine = new Porcupine.Builder()
                        .setAccessKey("${ACCESS_KEY}")
                        .setBuiltInKeywords(new BuiltInKeyword[]{BuiltInKeyword.PICOVOICE, BuiltInKeyword.BUMBLEBEE})
                        .build();

Pass in frames of audio to the .process function:

short[] getNextAudioFrame() {
    // ...
    return audioFrame;
}

while(true) {
    int keywordIndex = porcupine.process(getNextAudioFrame());
    if(keywordIndex == 0) {
      // detected `porcupine`
    } else if (keywordIndex == 1) {
      // detected `bumblebee`
    }
}

Release resources explicitly when done with Porcupine:

porcupine.delete();

Custom Keywords

Create custom keywords using the Picovoice Console. Download the custom wake word file (.ppn) and create an instance of Porcupine using the setKeywordPaths build method:

Porcupine porcupine = new Porcupine.Builder()
                        .setAccessKey("${ACCESS_KEY}")
                        .setKeywordPaths(new String[]{"${KEYWORD_FILE_PATH}"})
                        .build();

Non-English Languages

Use the corresponding model file (.pv) to detect non-English wake words. The model files for all supported languages are available on the Porcupine GitHub repository.

Pass in the model file using the setModelPath build method to change the detection language:

Porcupine porcupine = new Porcupine.Builder()
                        .setAccessKey("${ACCESS_KEY}")
                        .setKeywordPaths(new String[]{"${KEYWORD_FILE_PATH}"})
                        .setModelPath("${MODEL_FILE_PATH}")
                        .build();

Demo

For the Porcupine Java SDK, we offer demo applications that demonstrate how to use the Wake Word engine on real-time audio streams (i.e. microphone input) and audio files.

Setup

1. Clone the Porcupine repository from GitHub:

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

2. Build the Porcupine Java demo using Gradle:

cd porcupine/demo/java
./gradlew build

Usage

Use the -h flag to see the usage options for the demos:

java -jar build/libs/porcupine-mic-demo.jar -h

Ensure you have a working microphone connected to your system and run the following command to detect the built-in keyword porcupine:

java -jar build/libs/porcupine-mic-demo.jar -a ${ACCESS_KEY} -k porcupine

For more information on our Porcupine demos for Java, head over to our GitHub repository.

Resources