org.k2fsa.sherpa.onnx.runtime.win-x64 1.8.8

There is a newer version of this package available.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 1.8.8                

                    
                

            
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x64 -Version 1.8.8
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="1.8.8" />
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 1.8.8                

                    
                

            
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x64, 1.8.8"
#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=1.8.8

// Install org.k2fsa.sherpa.onnx.runtime.win-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.8.8

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
1.10.27 617 9/19/2024
1.10.26 482 9/14/2024
1.10.25 98 9/14/2024
1.10.24 188 9/13/2024
1.10.23 1,450 8/26/2024
1.10.22 769 8/19/2024
1.10.21 703 8/8/2024
1.10.20 393 7/29/2024
1.10.19 199 7/27/2024
1.10.17 609 7/20/2024
1.10.15 431 7/15/2024
1.10.14 234 7/13/2024
1.10.13 350 7/10/2024
1.10.12 199 7/9/2024
1.10.11 201 7/8/2024
1.10.9 268 7/6/2024
1.10.6 466 7/1/2024
1.10.5 344 6/27/2024
1.10.3 133 6/27/2024
1.10.2 244 6/25/2024
1.10.1 289 6/23/2024
1.10.0 1,430 6/18/2024
1.9.29 369 6/14/2024
1.9.28 210 6/12/2024
1.9.27 476 6/5/2024
1.9.26 405 5/30/2024
1.9.24 892 5/11/2024
1.9.23 621 4/26/2024
1.9.21 484 4/17/2024
1.9.16 498 4/5/2024
1.9.13 558 3/24/2024
1.9.12 391 3/19/2024
1.9.10 1,838 1/29/2024
1.9.7 777 1/11/2024
1.8.14 1,623 12/4/2023
1.8.10 831 11/16/2023
1.8.9 414 11/10/2023
1.8.8 297 11/7/2023
1.8.7 604 10/28/2023
1.8.6 355 10/26/2023
1.8.4 474 10/20/2023
1.8.2 398 10/18/2023
1.8.1 340 10/16/2023
1.7.21 1,043 9/24/2023
1.7.19 285 9/23/2023
1.7.18 257 9/22/2023
1.7.17 276 9/21/2023
1.7.16 236 9/21/2023
1.7.15 404 9/17/2023
1.7.14 396 9/14/2023
1.7.13 324 9/12/2023
1.7.12 425 9/7/2023
1.7.11 1,040 8/18/2023
1.7.10 261 8/18/2023
1.7.9 300 8/17/2023
1.7.8 335 8/16/2023
1.7.7 344 8/16/2023
1.7.6 404 8/14/2023
1.7.5 319 8/14/2023
1.7.4 289 8/14/2023
1.7.3 334 8/12/2023
1.7.2 372 8/11/2023
1.7.1 351 8/10/2023
1.7.0 311 8/9/2023
1.6.2 332 8/9/2023
1.5.4 751 7/21/2023
1.5.3 380 7/15/2023
1.5.2 218 7/14/2023
1.5.1 243 7/13/2023
1.5.0 304 7/9/2023
1.4.8 496 7/2/2023
1.4.6 364 6/27/2023
1.4.5 318 6/23/2023
1.4.4 560 6/8/2023
1.4.3 725 5/14/2023
1.4.2 318 5/8/2023
1.4.1 226 5/6/2023