Porcupine Wake Word
Java Quick Start
- Linux (x86_64)
- macOS (x86_64, arm64)
- Windows (x86_64)
- NVIDIA Jetson Nano
- Raspberry Pi (2, 3, 4)
- Picovoice Account and AccessKey
- Java 11+
Picovoice Account & AccessKey
Signup or Login to Picovoice Console to get your
Make sure to keep your
Create an instance of Porcupine that detects the included built-in wake words
Pass in frames of audio to the
Release resources explicitly when done with Porcupine:
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:
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:
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.
- Clone the Porcupine repository from GitHub:
- Build the Porcupine Java demo using
-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
For more information on our Porcupine demos for Java, head over to our GitHub repository.