org.k2fsa.sherpa.onnx.runtime.win-x64 1.10.35

dotnet add package org.k2fsa.sherpa.onnx.runtime.win-x64 --version 1.10.35                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.win-x64 -Version 1.10.35                
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="1.10.35" />                
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 1.10.35                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.win-x64, 1.10.35"                
#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=1.10.35

// Install org.k2fsa.sherpa.onnx.runtime.win-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.win-x64&version=1.10.35                

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.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
1.10.35 1,207 12/12/2024
1.10.34 205 12/11/2024
1.10.33 739 12/4/2024
1.10.32 783 11/26/2024
1.10.31 868 11/16/2024
1.10.30 1,768 10/27/2024
1.10.29 282 10/25/2024
1.10.28 1,109 10/13/2024
1.10.27 2,071 9/19/2024
1.10.26 538 9/14/2024
1.10.25 147 9/14/2024
1.10.24 224 9/13/2024
1.10.23 1,570 8/26/2024
1.10.22 1,507 8/19/2024
1.10.21 748 8/8/2024
1.10.20 422 7/29/2024
1.10.19 230 7/27/2024
1.10.17 650 7/20/2024
1.10.15 476 7/15/2024
1.10.14 267 7/13/2024
1.10.13 386 7/10/2024
1.10.12 225 7/9/2024
1.10.11 230 7/8/2024
1.10.9 302 7/6/2024
1.10.6 498 7/1/2024
1.10.5 373 6/27/2024
1.10.3 154 6/27/2024
1.10.2 277 6/25/2024
1.10.1 320 6/23/2024
1.10.0 1,669 6/18/2024
1.9.29 398 6/14/2024
1.9.28 231 6/12/2024
1.9.27 497 6/5/2024
1.9.26 426 5/30/2024
1.9.24 921 5/11/2024
1.9.23 655 4/26/2024
1.9.21 517 4/17/2024
1.9.16 520 4/5/2024
1.9.13 587 3/24/2024
1.9.12 414 3/19/2024
1.9.10 1,872 1/29/2024
1.9.7 799 1/11/2024
1.8.14 1,651 12/4/2023
1.8.10 856 11/16/2023
1.8.9 443 11/10/2023
1.8.8 322 11/7/2023
1.8.7 630 10/28/2023
1.8.6 381 10/26/2023
1.8.4 499 10/20/2023
1.8.2 425 10/18/2023
1.8.1 367 10/16/2023
1.7.21 1,065 9/24/2023
1.7.19 310 9/23/2023
1.7.18 278 9/22/2023
1.7.17 309 9/21/2023
1.7.16 261 9/21/2023
1.7.15 429 9/17/2023
1.7.14 425 9/14/2023
1.7.13 348 9/12/2023
1.7.12 453 9/7/2023
1.7.11 1,068 8/18/2023
1.7.10 280 8/18/2023
1.7.9 334 8/17/2023
1.7.8 360 8/16/2023
1.7.7 364 8/16/2023
1.7.6 424 8/14/2023
1.7.5 331 8/14/2023
1.7.4 312 8/14/2023
1.7.3 354 8/12/2023
1.7.2 399 8/11/2023
1.7.1 381 8/10/2023
1.7.0 340 8/9/2023
1.6.2 359 8/9/2023
1.5.4 793 7/21/2023
1.5.3 403 7/15/2023
1.5.2 243 7/14/2023
1.5.1 272 7/13/2023
1.5.0 330 7/9/2023
1.4.8 549 7/2/2023
1.4.6 384 6/27/2023
1.4.5 349 6/23/2023
1.4.4 588 6/8/2023
1.4.3 747 5/14/2023
1.4.2 344 5/8/2023
1.4.1 254 5/6/2023