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
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 .
Resources
Package
API
GitHub
Benchmark
Further Reading
Video