org.k2fsa.sherpa.onnx.runtime.osx-x64 1.9.27

There is a newer version of this package available.
See the version list below for details.
dotnet add package org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.9.27                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-x64 -Version 1.9.27                
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.osx-x64" Version="1.9.27" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add org.k2fsa.sherpa.onnx.runtime.osx-x64 --version 1.9.27                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-x64, 1.9.27"                
#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.osx-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.9.27

// Install org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.9.27                

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.

  • .NETStandard 2.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.onnx.runtime.osx-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
1.10.31 785 11/16/2024
1.10.30 1,924 10/27/2024
1.10.29 306 10/25/2024
1.10.28 1,189 10/13/2024
1.10.27 2,256 9/19/2024
1.10.26 588 9/14/2024
1.10.25 151 9/14/2024
1.10.24 230 9/13/2024
1.10.23 1,654 8/26/2024
1.10.22 1,350 8/19/2024
1.10.21 783 8/8/2024
1.10.20 407 7/29/2024
1.10.19 240 7/27/2024
1.10.17 647 7/20/2024
1.10.15 503 7/15/2024
1.10.14 272 7/13/2024
1.10.13 397 7/10/2024
1.10.12 217 7/9/2024
1.10.11 242 7/8/2024
1.10.9 325 7/6/2024
1.10.6 532 7/1/2024
1.10.5 383 6/27/2024
1.10.3 171 6/27/2024
1.10.2 296 6/25/2024
1.10.1 365 6/23/2024
1.10.0 1,696 6/18/2024
1.9.29 429 6/14/2024
1.9.28 242 6/12/2024
1.9.27 516 6/5/2024
1.9.26 476 5/30/2024
1.9.24 1,020 5/11/2024
1.9.23 740 4/26/2024
1.9.21 565 4/17/2024
1.9.16 628 4/5/2024
1.9.13 655 3/24/2024
1.9.12 492 3/19/2024
1.9.10 1,862 1/29/2024
1.9.7 846 1/11/2024
1.8.14 1,687 12/4/2023
1.8.10 925 11/16/2023
1.8.9 444 11/10/2023
1.8.8 463 11/7/2023
1.8.7 728 10/28/2023
1.8.6 463 10/26/2023
1.8.4 548 10/20/2023
1.8.2 440 10/18/2023
1.8.1 443 10/16/2023
1.7.21 1,184 9/24/2023
1.7.19 535 9/23/2023
1.7.18 384 9/22/2023
1.7.17 443 9/21/2023
1.7.16 428 9/21/2023
1.7.15 542 9/17/2023
1.7.14 566 9/14/2023
1.7.13 501 9/12/2023
1.7.12 636 9/7/2023
1.7.11 1,192 8/18/2023
1.7.10 398 8/18/2023
1.7.9 543 8/17/2023
1.7.8 552 8/16/2023
1.7.7 576 8/16/2023
1.7.6 582 8/14/2023
1.7.5 501 8/14/2023
1.7.4 436 8/14/2023
1.7.3 586 8/12/2023
1.7.2 565 8/11/2023
1.7.1 598 8/10/2023
1.7.0 579 8/9/2023
1.6.2 530 8/9/2023
1.5.4 951 7/21/2023
1.5.3 694 7/15/2023
1.5.2 451 7/14/2023
1.5.1 474 7/13/2023
1.5.0 581 7/9/2023
1.4.8 819 7/2/2023
1.4.6 675 6/27/2023
1.4.5 577 6/23/2023
1.4.4 801 6/8/2023
1.4.3 976 5/14/2023
1.4.2 585 5/8/2023
1.4.1 504 5/6/2023