Leopard 1.0.3

Leopard Binding for .NET

Leopard Speech-to-Text Engine

Made in Vancouver, Canada by Picovoice

Leopard is an on-device speech-to-text engine. Leopard is:

• Private; All voice processing runs locally.
• Accurate [1]
• Compact and Computationally-Efficient [2]
• Cross-Platform:
  • Linux (x86_64)
  • macOS (x86_64)
  • Windows (x86_64)
  • Android
  • iOS
  • Raspberry Pi (4, 3)
  • NVIDIA Jetson Nano

Requirements

• .NET Core 3.1

Compatibility

Platform compatible with .NET Framework 4.6.1+:

• Windows (x86_64)

Platforms compatible with .NET Core 2.0+:

• Linux (x86_64)
• macOS (x86_64)
• Windows (x86_64)

Platforms compatible with .NET Core 3.1+:

• Raspberry Pi:
  • 3 (32 and 64 bit)
  • 4 (32 and 64 bit)
• NVIDIA Jetson Nano

Installation

You can install the latest version of Leopard by getting the latest Leopard Nuget package in Visual Studio or using the .NET CLI:

dotnet add package Leopard

AccessKey

Leopard requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Leopard SDKs. You can get your AccessKey for free. Make sure to keep your AccessKey secret. Signup or Login to Picovoice Console to get your AccessKey.

Usage

Create an instance of the engine and transcribe an audio file:

using Pv;

const string accessKey = "${ACCESS_KEY}";
const string audioPath = "/absolute/path/to/audio_file";

Leopard handle = Leopard.Create(accessKey);

Console.Write(handle.ProcessFile(audioPath));

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console. Finally, when done release the resources using handle.Dispose().

The model file contains the parameters for the Leopard engine. You may create bespoke language models using Picovoice Console and then pass in the relevant file.

using Pv;

const string accessKey = "${ACCESS_KEY}";
string modelPath = "/absolute/path/to/model.pv";

Leopard handle = Leopard.Create(accessKey, modelPath);

Demos

The Leopard dotnet demo project is a .NET Core console app that allows for processing real-time audio (i.e. microphone) and files using Leopard.