org.k2fsa.sherpa.onnx.runtime.osx-x64 1.10.3

There is a newer version of this package available.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 1.10.3                
NuGet\Install-Package org.k2fsa.sherpa.onnx.runtime.osx-x64 -Version 1.10.3                
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="1.10.3" />                
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 1.10.3                
#r "nuget: org.k2fsa.sherpa.onnx.runtime.osx-x64, 1.10.3"                
#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=1.10.3

// Install org.k2fsa.sherpa.onnx.runtime.osx-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.onnx.runtime.osx-x64&version=1.10.3                

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
1.10.31 527 11/16/2024
1.10.30 1,913 10/27/2024
1.10.29 301 10/25/2024
1.10.28 1,187 10/13/2024
1.10.27 2,254 9/19/2024
1.10.26 586 9/14/2024
1.10.25 149 9/14/2024
1.10.24 228 9/13/2024
1.10.23 1,652 8/26/2024
1.10.22 1,317 8/19/2024
1.10.21 779 8/8/2024
1.10.20 405 7/29/2024
1.10.19 238 7/27/2024
1.10.17 645 7/20/2024
1.10.15 501 7/15/2024
1.10.14 270 7/13/2024
1.10.13 395 7/10/2024
1.10.12 215 7/9/2024
1.10.11 240 7/8/2024
1.10.9 323 7/6/2024
1.10.6 530 7/1/2024
1.10.5 381 6/27/2024
1.10.3 169 6/27/2024
1.10.2 294 6/25/2024
1.10.1 363 6/23/2024
1.10.0 1,678 6/18/2024
1.9.29 427 6/14/2024
1.9.28 240 6/12/2024
1.9.27 514 6/5/2024
1.9.26 474 5/30/2024
1.9.24 1,018 5/11/2024
1.9.23 738 4/26/2024
1.9.21 563 4/17/2024
1.9.16 626 4/5/2024
1.9.13 653 3/24/2024
1.9.12 490 3/19/2024
1.9.10 1,860 1/29/2024
1.9.7 844 1/11/2024
1.8.14 1,685 12/4/2023
1.8.10 923 11/16/2023
1.8.9 442 11/10/2023
1.8.8 461 11/7/2023
1.8.7 724 10/28/2023
1.8.6 461 10/26/2023
1.8.4 546 10/20/2023
1.8.2 438 10/18/2023
1.8.1 441 10/16/2023
1.7.21 1,182 9/24/2023
1.7.19 533 9/23/2023
1.7.18 382 9/22/2023
1.7.17 441 9/21/2023
1.7.16 424 9/21/2023
1.7.15 540 9/17/2023
1.7.14 564 9/14/2023
1.7.13 499 9/12/2023
1.7.12 634 9/7/2023
1.7.11 1,190 8/18/2023
1.7.10 396 8/18/2023
1.7.9 541 8/17/2023
1.7.8 550 8/16/2023
1.7.7 574 8/16/2023
1.7.6 580 8/14/2023
1.7.5 499 8/14/2023
1.7.4 434 8/14/2023
1.7.3 584 8/12/2023
1.7.2 563 8/11/2023
1.7.1 596 8/10/2023
1.7.0 577 8/9/2023
1.6.2 528 8/9/2023
1.5.4 949 7/21/2023
1.5.3 692 7/15/2023
1.5.2 449 7/14/2023
1.5.1 472 7/13/2023
1.5.0 579 7/9/2023
1.4.8 817 7/2/2023
1.4.6 673 6/27/2023
1.4.5 575 6/23/2023
1.4.4 799 6/8/2023
1.4.3 974 5/14/2023
1.4.2 583 5/8/2023
1.4.1 502 5/6/2023