org.k2fsa.sherpa.onnx.runtime.win-x86 1.9.29

There is a newer version of this package available.
See the version list below for details.
dotnet add package org.k2fsa.sherpa.onnx.runtime.win-x86 --version 1.9.29
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x86 -Version 1.9.29
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="org.k2fsa.sherpa.onnx.runtime.win-x86" Version="1.9.29" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add org.k2fsa.sherpa.onnx.runtime.win-x86 --version 1.9.29
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x86, 1.9.29"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install org.k2fsa.sherpa.onnx.runtime.win-x86 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x86&version=1.9.29

// Install org.k2fsa.sherpa.onnx.runtime.win-x86 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x86&version=1.9.29

Introduction

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team.

It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.

It does not require Internet connection during recognition.

See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

Please see https://github.com/k2-fsa/sherpa-onnx/tree/dot-net/dotnet-examples for how to use C# APIs of this package.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

  • .NETStandard 2.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.win-x86:

Package Downloads
org.k2fsa.sherpa.onnx

sherpa-onnx is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team. It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc. It does not require Internet connection during recognition. See the documentation https://k2-fsa.github.io/sherpa/onnx/index.html for details.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.10.5 194 6/27/2024
1.10.3 37 6/27/2024
1.10.2 203 6/25/2024
1.10.1 247 6/23/2024
1.10.0 554 6/18/2024
1.9.29 334 6/14/2024
1.9.28 180 6/12/2024
1.9.27 442 6/5/2024
1.9.26 375 5/30/2024
1.9.24 875 5/11/2024
1.9.23 589 4/26/2024
1.9.21 461 4/17/2024
1.9.16 432 4/5/2024
1.9.13 489 3/24/2024
1.9.12 171 3/21/2024