Release v1.10.33 (#1591)

This commit is contained in:
Fangjun Kuang
2024-12-04 14:51:46 +08:00
committed by GitHub
parent 74a8735f7a
commit 9352ccf7d5
27 changed files with 59 additions and 43 deletions

View File

@@ -22,9 +22,9 @@ Pre-built `har` packages can be found at
You can also download it using
```
wget https://ohpm.openharmony.cn/ohpm/sherpa_onnx/-/sherpa_onnx-1.10.32.har
wget https://ohpm.openharmony.cn/ohpm/sherpa_onnx/-/sherpa_onnx-1.10.33.har
# Please replace the version 1.10.32 if needed.
# Please replace the version 1.10.33 if needed.
```
You can also use

View File

@@ -1,7 +1,7 @@
/**
* Use these variables when you tailor your ArkTS code. They must be of the const type.
*/
export const HAR_VERSION = '1.10.32';
export const HAR_VERSION = '1.10.33';
export const BUILD_MODE_NAME = 'debug';
export const DEBUG = true;
export const TARGET_NAME = 'default';

View File

@@ -23,7 +23,7 @@ or update your `oh-package.json5` to include the following:
```
"dependencies": {
"sherpa_onnx": "1.10.32",
"sherpa_onnx": "1.10.33",
},
```
@@ -33,7 +33,8 @@ Note that we recommend always using the latest version.
| Demo | URL | Description|
|------|-----|------------|
|SherpaOnnxVadAsr|[Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/harmony-os/SherpaOnnxVadAsr)|It shows how to use VAD with a non-streaming ASR model for speech recognition|
|SherpaOnnxVadAsr|[Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/harmony-os/SherpaOnnxVadAsr)|It shows how to use VAD with a non-streaming ASR model for on-device speech recognition without accessing the network |
|SherpaOnnxTts|[Address](https://github.com/k2-fsa/sherpa-onnx/tree/master/harmony-os/SherpaOnnxTts)|It shows how to use Next-gen Kaldi for on-device text-to-speech (TTS, i.e., speech synthesis)|
# Documentation

View File

@@ -1,6 +1,6 @@
{
"name": "sherpa_onnx",
"version": "1.10.32",
"version": "1.10.33",
"description": "Speech-to-text, text-to-speech, and speaker diarization using Next-gen Kaldi without internet connection",
"main": "Index.ets",
"author": "The next-gen Kaldi team",