org.k2fsa.sherpa.onnx.runtime.win-x64 1.7.4

There is a newer version of this package available.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-x64 --version 1.7.4                

                    
                

            
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x64 -Version 1.7.4
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-x64" Version="1.7.4" />
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-x64 --version 1.7.4                

                    
                

            
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x64, 1.7.4"
#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-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.7.4

// Install org.k2fsa.sherpa.onnx.runtime.win-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.7.4

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.

  • .NETCoreApp 3.1

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

  • net6.0

    • No dependencies.

  • net7.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.win-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
1.10.31 0 11/16/2024
1.10.30 1,698 10/27/2024
1.10.29 267 10/25/2024
1.10.28 1,093 10/13/2024
1.10.27 2,060 9/19/2024
1.10.26 525 9/14/2024
1.10.25 136 9/14/2024
1.10.24 215 9/13/2024
1.10.23 1,550 8/26/2024
1.10.22 1,163 8/19/2024
1.10.21 733 8/8/2024
1.10.20 411 7/29/2024
1.10.19 221 7/27/2024
1.10.17 633 7/20/2024
1.10.15 463 7/15/2024
1.10.14 256 7/13/2024
1.10.13 376 7/10/2024
1.10.12 216 7/9/2024
1.10.11 221 7/8/2024
1.10.9 293 7/6/2024
1.10.6 488 7/1/2024
1.10.5 364 6/27/2024
1.10.3 145 6/27/2024
1.10.2 264 6/25/2024
1.10.1 309 6/23/2024
1.10.0 1,573 6/18/2024
1.9.29 389 6/14/2024
1.9.28 222 6/12/2024
1.9.27 488 6/5/2024
1.9.26 417 5/30/2024
1.9.24 912 5/11/2024
1.9.23 641 4/26/2024
1.9.21 510 4/17/2024
1.9.16 513 4/5/2024
1.9.13 578 3/24/2024
1.9.12 407 3/19/2024
1.9.10 1,862 1/29/2024
1.9.7 791 1/11/2024
1.8.14 1,644 12/4/2023
1.8.10 849 11/16/2023
1.8.9 432 11/10/2023
1.8.8 315 11/7/2023
1.8.7 623 10/28/2023
1.8.6 374 10/26/2023
1.8.4 490 10/20/2023
1.8.2 418 10/18/2023
1.8.1 358 10/16/2023
1.7.21 1,058 9/24/2023
1.7.19 303 9/23/2023
1.7.18 269 9/22/2023
1.7.17 302 9/21/2023
1.7.16 254 9/21/2023
1.7.15 422 9/17/2023
1.7.14 418 9/14/2023
1.7.13 341 9/12/2023
1.7.12 446 9/7/2023
1.7.11 1,061 8/18/2023
1.7.10 273 8/18/2023
1.7.9 327 8/17/2023
1.7.8 353 8/16/2023
1.7.7 357 8/16/2023
1.7.6 417 8/14/2023
1.7.5 324 8/14/2023
1.7.4 305 8/14/2023
1.7.3 347 8/12/2023
1.7.2 392 8/11/2023
1.7.1 374 8/10/2023
1.7.0 333 8/9/2023
1.6.2 352 8/9/2023
1.5.4 782 7/21/2023
1.5.3 396 7/15/2023
1.5.2 236 7/14/2023
1.5.1 265 7/13/2023
1.5.0 323 7/9/2023
1.4.8 542 7/2/2023
1.4.6 377 6/27/2023
1.4.5 342 6/23/2023
1.4.4 579 6/8/2023
1.4.3 740 5/14/2023
1.4.2 337 5/8/2023
1.4.1 246 5/6/2023