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https://github.com/modelscope/FunASR
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update docs
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@ -57,7 +57,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
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--itn-dir thuduj12/fst_itn_zh > log.out 2>&1 &
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@ -78,7 +78,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--itn-dir thuduj12/fst_itn_zh \
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--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
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--decoder-thread-num 32 \
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@ -133,7 +133,7 @@ To replace the currently used model or other parameters, you need to first shut
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After executing the above command, the real-time speech transcription service will be started. If the model is specified as a ModelScope model id, the following models will be automatically downloaded from ModelScope:
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[FSMN-VAD](https://www.modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx/summary),
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[Paraformer-lagre](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx/summary),
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[CT-Transformer](https://www.modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx/summary),
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[CT-Transformer](https://www.modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx/summary),
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[FST-ITN](https://www.modelscope.cn/models/thuduj12/fst_itn_zh/summary),
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[Ngram lm](https://www.modelscope.cn/models/damo/speech_ngram_lm_zh-cn-ai-wesp-fst/summary)
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@ -58,7 +58,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--model-dir damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx > log.out 2>&1 &
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx > log.out 2>&1 &
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# If you want to close ssl,please add:--certfile 0
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@ -74,7 +74,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--model-dir damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--decoder-thread-num 32 \
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--io-thread-num 8 \
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--port 10095 \
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@ -125,7 +125,7 @@ To replace the currently used model or other parameters, you need to first shut
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After executing the above command, the real-time speech transcription service will be started. If the model is specified as a ModelScope model id, the following models will be automatically downloaded from ModelScope:
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[FSMN-VAD](https://www.modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx/summary),
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[Paraformer-lagre](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx/summary),
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[CT-Transformer](https://www.modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx/summary)
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[CT-Transformer](https://www.modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx/summary)
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If you wish to deploy your fine-tuned model (e.g., 10epoch.pb), you need to manually rename the model to model.pb and replace the original model.pb in ModelScope. Then, specify the path as `model_dir`.
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@ -49,7 +49,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--model-dir damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx > log.out 2>&1 &
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx > log.out 2>&1 &
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# 如果您想关闭ssl,增加参数:--certfile 0
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@ -166,7 +166,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--model-dir damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--decoder-thread-num 32 \
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--io-thread-num 8 \
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--port 10095 \
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@ -216,7 +216,7 @@ kill -9 PID
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执行上述指令后,启动英文离线文件转写服务。如果模型指定为ModelScope中model id,会自动从MoldeScope中下载如下模型:
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[FSMN-VAD模型](https://www.modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx/summary),
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[Paraformer-lagre模型](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-en-16k-common-vocab10020-onnx/summary),
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[CT-Transformer标点预测模型](https://www.modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx/summary)
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[CT-Transformer标点预测模型](https://www.modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx/summary)
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如果,您希望部署您finetune后的模型(例如10epoch.pb),需要手动将模型重命名为model.pb,并将原modelscope中模型model.pb替换掉,将路径指定为`model_dir`即可。
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@ -49,7 +49,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
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--itn-dir thuduj12/fst_itn_zh > log.out 2>&1 &
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@ -169,7 +169,7 @@ nohup bash run_server.sh \
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--download-model-dir /workspace/models \
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--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
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--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
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--punc-dir damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--itn-dir thuduj12/fst_itn_zh \
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--decoder-thread-num 32 \
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--io-thread-num 8 \
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@ -222,7 +222,7 @@ kill -9 PID
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执行上述指令后,启动离线文件转写服务。如果模型指定为ModelScope中model id,会自动从MoldeScope中下载如下模型:
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[FSMN-VAD模型](https://www.modelscope.cn/models/damo/speech_fsmn_vad_zh-cn-16k-common-onnx/summary),
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[Paraformer-lagre模型](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx/summary),
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[CT-Transformer标点预测模型](https://www.modelscope.cn/models/damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx/summary),
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[CT-Transformer标点预测模型](https://www.modelscope.cn/models/damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx/summary),
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[基于FST的中文ITN](https://www.modelscope.cn/models/thuduj12/fst_itn_zh/summary),
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[Ngram中文语言模型](https://www.modelscope.cn/models/damo/speech_ngram_lm_zh-cn-ai-wesp-fst/summary)
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@ -5,4 +5,4 @@ DEFAULT_ASR_MODEL:
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DEFAULT_VAD_MODEL:
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damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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DEFAULT_PUNC_MODEL:
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damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx
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@ -9,7 +9,7 @@ DEFAULT_ASR_MODEL:
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DEFAULT_VAD_MODEL:
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damo/speech_fsmn_vad_zh-cn-16k-common-onnx
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DEFAULT_PUNC_MODEL:
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damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx
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damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx
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DEFAULT_LM_MODEL:
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damo/speech_ngram_lm_zh-cn-ai-wesp-fst
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NONE
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@ -2,9 +2,9 @@
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download_model_dir="/workspace/models"
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model_dir="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx"
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vad_dir="damo/speech_fsmn_vad_zh-cn-16k-common-onnx"
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punc_dir="damo/punc_ct-transformer_zh-cn-common-vocab272727-onnx"
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punc_dir="damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx"
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itn_dir="thuduj12/fst_itn_zh"
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lm_dir=""
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lm_dir="damo/speech_ngram_lm_zh-cn-ai-wesp-fst"
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decoder_thread_num=32
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io_thread_num=8
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port=10095
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@ -108,7 +108,7 @@ int main(int argc, char* argv[]) {
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TCLAP::ValueArg<float> am_scale("", AM_SCALE, "the acoustic scale for beam searching ", false, 10.0, "float");
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TCLAP::ValueArg<std::string> lm_dir("", LM_DIR,
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"the LM model path, which contains compiled models: TLG.fst, config.yaml ", false, "", "string");
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"the LM model path, which contains compiled models: TLG.fst, config.yaml ", false, "damo/speech_ngram_lm_zh-cn-ai-wesp-fst", "string");
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TCLAP::ValueArg<std::string> lm_revision(
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"", "lm-revision", "LM model revision", false, "v1.0.1", "string");
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TCLAP::ValueArg<std::string> hotword("", HOTWORD,
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