org.k2fsa.sherpa.onnx.runtime.win-x64 1.7.13

There is a newer version of this package available.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 1.7.13                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x64 -Version 1.7.13                
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="1.7.13" />                
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 1.7.13                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x64, 1.7.13"                
#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=1.7.13

// Install org.k2fsa.sherpa.onnx.runtime.win-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.7.13                

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
1.10.27 869 9/19/2024
1.10.26 501 9/14/2024
1.10.25 117 9/14/2024
1.10.24 203 9/13/2024
1.10.23 1,474 8/26/2024
1.10.22 795 8/19/2024
1.10.21 721 8/8/2024
1.10.20 408 7/29/2024
1.10.19 217 7/27/2024
1.10.17 627 7/20/2024
1.10.15 447 7/15/2024
1.10.14 251 7/13/2024
1.10.13 368 7/10/2024
1.10.12 214 7/9/2024
1.10.11 219 7/8/2024
1.10.9 285 7/6/2024
1.10.6 486 7/1/2024
1.10.5 362 6/27/2024
1.10.3 143 6/27/2024
1.10.2 262 6/25/2024
1.10.1 307 6/23/2024
1.10.0 1,448 6/18/2024
1.9.29 387 6/14/2024
1.9.28 220 6/12/2024
1.9.27 486 6/5/2024
1.9.26 415 5/30/2024
1.9.24 910 5/11/2024
1.9.23 639 4/26/2024
1.9.21 502 4/17/2024
1.9.16 508 4/5/2024
1.9.13 576 3/24/2024
1.9.12 406 3/19/2024
1.9.10 1,855 1/29/2024
1.9.7 789 1/11/2024
1.8.14 1,639 12/4/2023
1.8.10 848 11/16/2023
1.8.9 431 11/10/2023
1.8.8 314 11/7/2023
1.8.7 621 10/28/2023
1.8.6 372 10/26/2023
1.8.4 483 10/20/2023
1.8.2 417 10/18/2023
1.8.1 357 10/16/2023
1.7.21 1,057 9/24/2023
1.7.19 302 9/23/2023
1.7.18 266 9/22/2023
1.7.17 298 9/21/2023
1.7.16 252 9/21/2023
1.7.15 413 9/17/2023
1.7.14 416 9/14/2023
1.7.13 339 9/12/2023
1.7.12 442 9/7/2023
1.7.11 1,053 8/18/2023
1.7.10 270 8/18/2023
1.7.9 317 8/17/2023
1.7.8 349 8/16/2023
1.7.7 355 8/16/2023
1.7.6 413 8/14/2023
1.7.5 319 8/14/2023
1.7.4 303 8/14/2023
1.7.3 345 8/12/2023
1.7.2 388 8/11/2023
1.7.1 372 8/10/2023
1.7.0 323 8/9/2023
1.6.2 348 8/9/2023
1.5.4 778 7/21/2023
1.5.3 392 7/15/2023
1.5.2 234 7/14/2023
1.5.1 261 7/13/2023
1.5.0 321 7/9/2023
1.4.8 513 7/2/2023
1.4.6 373 6/27/2023
1.4.5 334 6/23/2023
1.4.4 577 6/8/2023
1.4.3 737 5/14/2023
1.4.2 335 5/8/2023
1.4.1 242 5/6/2023