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, 5)
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
Install JDK 11+.
Install the Java binding from the Maven Central Repository at:
Usage
Create an instance of Porcupine that detects the included built-in wake words porcupine
and bumblebee
:
Pass in frames of audio to the .process
function:
Release resources explicitly when done with Porcupine:
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:
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:
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
- Clone the Porcupine repository from GitHub:
- Build the Porcupine Java demo using
Gradle
:
Usage
Use the -h
flag to see the usage options for the demos:
Ensure you have a working microphone connected to your system and run the following command to detect the built-in keyword porcupine
:
For more information on our Porcupine demos for Java, head over to our GitHub repository.