org.k2fsa.sherpa.onnx.runtime.linux-x64 1.10.30 

dotnet add package org.k2fsa.sherpa.onnx.runtime.linux-x64 --version 1.10.30                

                    
                

            
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.linux-x64 -Version 1.10.30
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.linux-x64" Version="1.10.30" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add org.k2fsa.sherpa.onnx.runtime.linux-x64 --version 1.10.30                

                    
                

            
#r "nuget: org.k2fsa.sherpa.onnx.runtime.linux-x64, 1.10.30"
#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.linux-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.linux-x64&version=1.10.30

// Install org.k2fsa.sherpa.onnx.runtime.linux-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.linux-x64&version=1.10.30

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.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.linux-x64:

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
1.10.30 1,300 10/27/2024
1.10.29 265 10/25/2024
1.10.28 1,106 10/13/2024
1.10.27 2,071 9/19/2024
1.10.26 533 9/14/2024
1.10.25 142 9/14/2024
1.10.24 215 9/13/2024
1.10.23 1,524 8/26/2024
1.10.22 1,147 8/19/2024
1.10.21 718 8/8/2024
1.10.20 426 7/29/2024
1.10.19 231 7/27/2024
1.10.17 628 7/20/2024
1.10.15 443 7/15/2024
1.10.14 251 7/13/2024
1.10.13 326 7/10/2024
1.10.12 207 7/9/2024
1.10.11 204 7/8/2024
1.10.9 281 7/6/2024
1.10.6 468 7/1/2024
1.10.5 356 6/27/2024
1.10.3 147 6/27/2024
1.10.2 240 6/25/2024
1.10.1 316 6/23/2024
1.10.0 1,537 6/18/2024
1.9.29 377 6/14/2024
1.9.28 225 6/12/2024
1.9.27 479 6/5/2024
1.9.26 402 5/30/2024
1.9.24 894 5/11/2024
1.9.23 601 4/26/2024
1.9.21 475 4/17/2024
1.9.16 472 4/5/2024
1.9.13 506 3/24/2024
1.9.12 320 3/19/2024
1.9.10 1,774 1/29/2024
1.9.7 800 1/11/2024
1.8.14 1,598 12/4/2023
1.8.10 827 11/16/2023
1.8.9 419 11/10/2023
1.8.8 265 11/7/2023
1.8.7 591 10/28/2023
1.8.6 355 10/26/2023
1.8.4 451 10/20/2023
1.8.2 347 10/18/2023
1.8.1 380 10/16/2023
1.7.21 1,021 9/24/2023
1.7.19 272 9/23/2023
1.7.18 303 9/22/2023
1.7.17 323 9/21/2023
1.7.16 229 9/21/2023
1.7.15 375 9/17/2023
1.7.14 382 9/14/2023
1.7.13 367 9/12/2023
1.7.12 471 9/7/2023
1.7.11 1,080 8/18/2023
1.7.10 222 8/18/2023
1.7.9 302 8/17/2023
1.7.8 329 8/16/2023
1.7.7 320 8/16/2023
1.7.6 423 8/14/2023
1.7.5 334 8/14/2023
1.7.4 373 8/14/2023
1.7.3 433 8/12/2023
1.7.2 380 8/11/2023
1.7.1 386 8/10/2023
1.7.0 374 8/9/2023
1.6.2 313 8/9/2023
1.5.4 798 7/21/2023
1.5.3 430 7/15/2023
1.5.2 231 7/14/2023
1.5.1 293 7/13/2023
1.5.0 378 7/9/2023
1.4.8 629 7/2/2023
1.4.6 433 6/27/2023
1.4.5 382 6/23/2023
1.4.4 629 6/8/2023
1.4.3 779 5/14/2023
1.4.2 373 5/8/2023
1.4.1 282 5/6/2023