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* add hotword for deploy_tools * Support wfst decoder and contextual biasing (#1039) * Support wfst decoder and contextual biasing * Turn on fstbin compilation --------- Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> * mv funasr/runtime runtime * Fix crash caused by OOV in hotwords list * funasr infer * funasr infer * funasr infer * funasr infer * funasr infer * fix some bugs about fst hotword; support wfst for websocket server and clients; mv runtime out of funasr; modify relative docs * del onnxruntime/include/gflags * update tensor.h * update run_server.sh * update deploy tools * update deploy tools * update websocket-server * update funasr-wss-server * Remove self loop propagation * Update websocket_protocol_zh.md * Update websocket_protocol_zh.md * update hotword protocol * author zhaomingwork: change hotwords for h5 and java * update hotword protocol * catch exception for json_fst_hws * update hotword on message * update onnx benchmark for ngram&hotword * update docs * update funasr-wss-serve * add NONE for LM_DIR * update docs * update run_server.sh * add whats-new * modify whats-new * update whats-new * update whats-new * Support decoder option for beam searching * update benchmark_onnx_cpp * Support decoder option for websocket * fix bug of CompileHotwordEmbedding * update html client * update docs --------- Co-authored-by: gongbo.gb <35997837+aibulamusi@users.noreply.github.com> Co-authored-by: gongbo.gb <gongbo.gb@alibaba-inc.com> Co-authored-by: 游雁 <zhifu.gzf@alibaba-inc.com>
19 lines
1.0 KiB
Markdown
19 lines
1.0 KiB
Markdown
# Paraformer online
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该项目是一个基于iOS端的Paraformer流式识别的demo。该项目是基于onnx的推理c++版本。不需要依赖其他库和额外的配置，直接在xcode上编译运行即可。
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## 获取模型
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1. 通过命令 `git clone https://www.modelscope.cn/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx.git` 下载模型
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2. 下载的是量化后的模型，该iOS项目需要用到四个文件，`model_quant.onnx`，`decoder_quant.onnx`，`am.mvn`和`config.yaml`
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3. 将上面四个文件拖入xcode项目中的`model`文件夹下，建议在打开xcode项目后再拖入。
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## 识别流程
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1. mac设备上确保安装xcode；
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2. 由于onnx是xcode的一个cocopod包，需要先依赖onnx环境，打开终端，去到包含Podfile文件的文件夹下，执行`pod install`，拉取onnx环境
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3. mac连接iPhone设备，双击`paraformer_online.xcworkspace`，自动打开xcode，直接运行该xcode工程。
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## 未来工作
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* coreml支持
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* 加入流式标点
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