(简体中文|English)
You can use FunASR in the following ways:
- Service Deployment SDK
- Industrial model egs
- Academic model egs
Supports real-time streaming speech recognition, uses non-streaming models for error correction, and outputs text with punctuation. Currently, only single client is supported. For multi-concurrency, please refer to the C++ version service deployment SDK below.
cd runtime/python/websocket
python funasr_wss_server.py --port 10095
python funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode 2pass --chunk_size "5,10,5"
For more examples, please refer to docs.
Both high-precision, high-efficiency, and high-concurrency file transcription, as well as low-latency real-time speech recognition, are supported. It also supports Docker deployment and multiple concurrent requests.
curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/install_docker.sh;
sudo bash install_docker.sh
Use the following command to pull and launch the FunASR software package Docker image(Get the latest image version):
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.11
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10096:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.11
After Docker is started, start the funasr-wss-server-2pass service program:
cd FunASR/runtime
nohup bash run_server_2pass.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx \
--punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
# If you want to disable SSL, add the parameter: --certfile 0
# If you want to deploy with a timestamp or nn hotword model, please set --model-dir to the corresponding model:
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
# If you want to load hotwords on the server side, please configure the hotwords in the host file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
# One hotword per line, format (hotword weight): Alibaba 20
Testing samples
python3 funasr_wss_client.py --host "127.0.0.1" --port 10096 --mode 2pass
For more examples, please refer to docs
Use the following command to pull and launch the FunASR software package Docker image(Get the latest image version):
sudo docker pull \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.4.6
mkdir -p ./funasr-runtime-resources/models
sudo docker run -p 10095:10095 -it --privileged=true \
-v $PWD/funasr-runtime-resources/models:/workspace/models \
registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-cpu-0.4.6
After Docker is started, start the funasr-wss-server service program:
cd FunASR/runtime
nohup bash run_server.sh \
--download-model-dir /workspace/models \
--vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx \
--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
--itn-dir thuduj12/fst_itn_zh \
--hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
# If you want to disable SSL, add the parameter: --certfile 0
# If you want to use timestamp or nn hotword models for deployment, please set --model-dir to the corresponding model:
# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx (timestamp)
# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx (nn hotword)
# If you want to load hotwords on the server side, please configure the hotwords in the host machine file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address is /workspace/models/hotwords.txt):
# One hotword per line, format (hotword weight): Alibaba 20
Testing samples
python3 funasr_wss_client.py --host "127.0.0.1" --port 10095 --mode offline --audio_in "../audio/asr_example.wav"
For more examples, please refer to docs