xuning / sherpaonnx

Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.

* Commit after creating the project

* Add sherpa-onnx related files

* copy and modify files from sherpa-ncnn

* add app icon

- Support non-streaming ASR
- Support paraformer
- bugfixes

When pepole use pip install sherpa-onnx, they also get the following binaries:

(py38) fangjuns-MacBook-Pro:bin fangjun$ ls -lh  sherpa-onnx*
-rwxr-xr-x  1 fangjun  staff    36K Apr  4 13:48 sherpa-onnx
-rwxr-xr-x  1 fangjun  staff    52K Apr  4 13:48 sherpa-onnx-microphone
-rwxr-xr-x  1 fangjun  staff    54K Apr  4 13:48 sherpa-onnx-microphone-offline
-rwxr-xr-x  1 fangjun  staff    37K Apr  4 13:48 sherpa-onnx-offline
-rwxr-xr-x  1 fangjun  staff   634K Apr  4 13:48 sherpa-onnx-offline-websocket-server
-rwxr-xr-x  1 fangjun  staff   710K Apr  4 13:48 sherpa-onnx-online-websocket-client
-rwxr-xr-x  1 fangjun  staff   651K Apr  4 13:48 sherpa-onnx-online-websocket-server
(py38) fangjuns-MacBook-Pro:bin fangjun$ pwd
/Users/fangjun/py38/bin

* fix garbled console output with chinese characters

* use print to instead  sherpa_onnx.Display

* Test int8 models

* Fix displaying help messages

* small fixes

* Fix jni test

* Fix building on Linux

* Fix style issues

Co-authored-by: lichao <www.563042811@qq.com>

* Refactor offline recognizer.

The purpose is to make it easier to support different types of models.

Co-authored-by: Jian You (jianyou) <jianyou@cisco.com>

* CI for 32-bit windows

* small fixes

* support windows x86 platform

* improve cmake

* resolve comments

---------

Co-authored-by: Jian You (jianyou) <jianyou@cisco.com>

* Use Int type for sampling rate

* Fix swift

* Fix iOS

* Don't reset model state and feature extractor on endpointing

* support passing decoding_method from commandline

* Add modified_beam_search to Python API

* fix C API example

* Fix style issues

* update build script for android

* small fixes