org.k2fsa.sherpa.onnx.runtime.win-arm64 1.11.2 

dotnet add package org.k2fsa.sherpa.onnx.runtime.win-arm64 --version 1.11.2
                    


                    

                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-arm64 -Version 1.11.2
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-arm64" Version="1.11.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="org.k2fsa.sherpa.onnx.runtime.win-arm64" Version="1.11.2" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="org.k2fsa.sherpa.onnx.runtime.win-arm64" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add org.k2fsa.sherpa.onnx.runtime.win-arm64 --version 1.11.2
                    


                    

                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-arm64, 1.11.2"
#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. 
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-arm64&version=1.11.2
                    


                            Install org.k2fsa.sherpa.onnx.runtime.win-arm64 as a Cake Addin
                        

                    

                
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-arm64&version=1.11.2
                    


                            Install org.k2fsa.sherpa.onnx.runtime.win-arm64 as a Cake Tool

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.

  • .NETFramework 2.0

    • No dependencies.

  • .NETFramework 3.5

    • No dependencies.

  • .NETFramework 4.0

    • No dependencies.

  • .NETFramework 4.5

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

  • net6.0

    • No dependencies.

  • net7.0

    • No dependencies.

  • net8.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.win-arm64:

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
1.11.2 1,131 3/21/2025
1.11.1 574 3/17/2025
1.11.0 244 3/16/2025
1.10.46 1,732 2/27/2025
1.10.45 1,026 2/17/2025
1.10.44 434 2/13/2025
1.10.43 429 2/9/2025
1.10.42 203 2/8/2025
1.10.41 1,385 1/22/2025
1.10.40 122 1/22/2025
1.10.39 764 1/13/2025
1.10.38 601 1/6/2025
1.10.37 641 12/31/2024
1.10.36 199 12/30/2024
1.10.35 1,498 12/12/2024
1.10.34 226 12/11/2024
1.10.33 790 12/4/2024
1.10.32 983 11/26/2024
1.10.31 863 11/16/2024
1.10.30 1,916 10/27/2024
1.10.29 305 10/25/2024
1.10.28 1,115 10/13/2024
1.10.27 2,073 9/19/2024
1.10.26 534 9/14/2024
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1.10.24 226 9/13/2024
1.10.23 1,540 8/26/2024
1.10.22 2,026 8/19/2024
1.10.21 733 8/8/2024
1.10.20 446 7/29/2024
1.10.19 246 7/27/2024
1.10.17 643 7/20/2024
1.10.15 493 7/15/2024
1.10.14 271 7/13/2024
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1.10.12 220 7/9/2024
1.10.11 222 7/8/2024
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1.10.6 504 7/1/2024
1.10.5 352 6/27/2024
1.10.3 193 6/27/2024