EngineX-Iluvatar/enginex-mr_series-sherpa-onnx

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Fangjun Kuang e475e750ac Support streaming zipformer CTC (#496 )

* Support streaming zipformer CTC

* test online zipformer2 CTC

* Update doc of sherpa-onnx.cc

* Add Python APIs for streaming zipformer2 ctc

* Add Python API examples for streaming zipformer2 ctc

* Swift API for streaming zipformer2 CTC

* NodeJS API for streaming zipformer2 CTC

* Kotlin API for streaming zipformer2 CTC

* Golang API for streaming zipformer2 CTC

* C# API for streaming zipformer2 CTC

* Release v1.9.6

2023-12-22 13:46:33 +08:00

..

Fix building for .Net (#463 )

2023-12-04 19:27:55 +08:00

.gitignore

Refactor C# code and support building nuget packages for cross-platforms (#144 )

2023-05-10 14:53:04 +08:00

generate.py

Fix building for .Net (#463 )

2023-12-04 19:27:55 +08:00

offline.cs

Fix building for .Net (#463 )

2023-12-04 19:27:55 +08:00

online.cs

Support streaming zipformer CTC (#496 )

2023-12-22 13:46:33 +08:00

README.md

Refactor C# code and support building nuget packages for cross-platforms (#144 )

2023-05-10 14:53:04 +08:00

run.sh

Fix building for .Net (#463 )

2023-12-04 19:27:55 +08:00

sherpa-onnx.csproj.in

Support .Netstandard 2.0 (#193 )

2023-07-02 22:57:48 +08:00

sherpa-onnx.csproj.runtime.in

Support .Netstandard 2.0 (#193 )

2023-07-02 22:57:48 +08:00

README.md

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.