Porcupine Wake Word
.NET Quick Start
Platforms
- Linux (x86_64)
- macOS (x86_64, arm64)
- Windows (x86_64)
- Raspberry Pi (3, 4, 5)
Requirements
.NET Framework 4.6.1+ / .NET Standard 2.0+ / .NET Core 3.0+:
- Windows (x86_64)
.NET Standard 2.0+ / .NET Core 3.0+:
- Linux (x86_64)
- macOS (x86_64)
.NET Core 3.0+:
- Raspberry Pi (3, 4, 5)
.NET 6.0+:
- macOS (arm64)
Picovoice Account & AccessKey
Signup or Login to Picovoice Console to get your AccessKey
.
Make sure to keep your AccessKey
secret.
Quick Start
Setup
Install .NET.
Install the Porcupine Wake Word NuGet package in Visual Studio or using the .NET CLI:
Usage
Create an instance of Porcupine Wake Word that detects the included built-in wake words porcupine
and bumblebee
:
Pass in frames of audio to the .Process
function:
Custom Keywords
Create custom keywords using the Picovoice Console.
Download the custom wake word file (.ppn
) and create an instance of Porcupine Wake Word using the FromKeywordPaths
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 Wake Word GitHub repository.
Pass in the model file using the modelPath
input argument to change the detection language:
Demo
For the Porcupine Wake Word .NET 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 Wake Word repository from GitHub:
- Build the demo:
Usage
Use the --help
flag to see the usage options for the demo:
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 Wake Word demos for .NET, head over to our GitHub repository.
Resources
Package
API
GitHub
Benchmark
Further Reading
- Talking Chess: Adding Offline, Cross-Platform Voice Controls to Chess in .NET Core
- From GUI to VUI: Voice-Enabling a Cross-Platform .NET Desktop Application
- How We Added Raspberry Pi Support to Our .NET SDK