org.k2fsa.sherpa.onnx.runtime.win-x64 1.8.10

There is a newer version of this package available.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 1.8.10                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x64 -Version 1.8.10                
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="1.8.10" />                
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 1.8.10                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x64, 1.8.10"                
#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=1.8.10

// Install org.k2fsa.sherpa.onnx.runtime.win-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.8.10                

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
1.10.27 345 9/19/2024
1.10.26 465 9/14/2024
1.10.25 81 9/14/2024
1.10.24 168 9/13/2024
1.10.23 1,428 8/26/2024
1.10.22 745 8/19/2024
1.10.21 686 8/8/2024
1.10.20 376 7/29/2024
1.10.19 183 7/27/2024
1.10.17 591 7/20/2024
1.10.15 413 7/15/2024
1.10.14 217 7/13/2024
1.10.13 333 7/10/2024
1.10.12 180 7/9/2024
1.10.11 186 7/8/2024
1.10.9 251 7/6/2024
1.10.6 447 7/1/2024
1.10.5 327 6/27/2024
1.10.3 117 6/27/2024
1.10.2 227 6/25/2024
1.10.1 272 6/23/2024
1.10.0 1,412 6/18/2024
1.9.29 356 6/14/2024
1.9.28 197 6/12/2024
1.9.27 459 6/5/2024
1.9.26 393 5/30/2024
1.9.24 878 5/11/2024
1.9.23 603 4/26/2024
1.9.21 467 4/17/2024
1.9.16 483 4/5/2024
1.9.13 543 3/24/2024
1.9.12 373 3/19/2024
1.9.10 1,826 1/29/2024
1.9.7 764 1/11/2024
1.8.14 1,607 12/4/2023
1.8.10 814 11/16/2023
1.8.9 401 11/10/2023
1.8.8 280 11/7/2023
1.8.7 587 10/28/2023
1.8.6 338 10/26/2023
1.8.4 459 10/20/2023
1.8.2 381 10/18/2023
1.8.1 328 10/16/2023
1.7.21 1,027 9/24/2023
1.7.19 268 9/23/2023
1.7.18 244 9/22/2023
1.7.17 259 9/21/2023
1.7.16 219 9/21/2023
1.7.15 388 9/17/2023
1.7.14 374 9/14/2023
1.7.13 308 9/12/2023
1.7.12 413 9/7/2023
1.7.11 1,023 8/18/2023
1.7.10 247 8/18/2023
1.7.9 286 8/17/2023
1.7.8 318 8/16/2023
1.7.7 329 8/16/2023
1.7.6 387 8/14/2023
1.7.5 304 8/14/2023
1.7.4 276 8/14/2023
1.7.3 318 8/12/2023
1.7.2 366 8/11/2023
1.7.1 336 8/10/2023
1.7.0 294 8/9/2023
1.6.2 318 8/9/2023
1.5.4 730 7/21/2023
1.5.3 363 7/15/2023
1.5.2 198 7/14/2023
1.5.1 229 7/13/2023
1.5.0 285 7/9/2023
1.4.8 485 7/2/2023
1.4.6 353 6/27/2023
1.4.5 298 6/23/2023
1.4.4 547 6/8/2023
1.4.3 707 5/14/2023
1.4.2 306 5/8/2023
1.4.1 209 5/6/2023