{"id":59985,"date":"2026-01-14T19:41:12","date_gmt":"2026-01-14T11:41:12","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/59985.html"},"modified":"2026-01-14T19:41:12","modified_gmt":"2026-01-14T11:41:12","slug":"%e5%a6%82%e4%bd%95%e6%9e%84%e5%bb%bafunasr%e7%9a%84%e6%9c%ac%e5%9c%b0%e8%af%ad%e9%9f%b3%e8%af%86%e5%88%ab%e6%9c%8d%e5%8a%a1","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/59985.html","title":{"rendered":"\u5982\u4f55\u6784\u5efaFunASR\u7684\u672c\u5730\u8bed\u97f3\u8bc6\u522b\u670d\u52a1"},"content":{"rendered":"<\/p>\n<h4>FunASR \u7b80\u4ecb<\/h4>\n<p>FunASR \u662f\u963f\u91cc\u5df4\u5df4\u8fbe\u6469\u9662\u5f00\u6e90\u7684\u9ad8\u6027\u80fd\u8bed\u97f3\u8bc6\u522b\u5de5\u5177\u5305&#xff0c;\u652f\u6301\u79bb\u7ebf\u8bc6\u522b\u548c\u5b9e\u65f6\u6d41\u5f0f\u8bc6\u522b\u4e24\u79cd\u6a21\u5f0f\u3002\u5176\u6838\u5fc3\u7279\u70b9\u5305\u62ec&#xff1a;<\/p>\n<ul>\n<li>\u652f\u6301\u591a\u79cd\u8bed\u97f3\u4efb\u52a1&#xff1a;ASR&#xff08;\u81ea\u52a8\u8bed\u97f3\u8bc6\u522b&#xff09;\u3001VAD&#xff08;\u8bed\u97f3\u6d3b\u52a8\u68c0\u6d4b&#xff09;\u3001\u6807\u70b9\u6062\u590d\u3001\u5173\u952e\u8bcd\u68c0\u6d4b\u7b49\u3002<\/li>\n<li>\u63d0\u4f9b\u9884\u8bad\u7ec3\u6a21\u578b&#xff1a;\u8986\u76d6\u4e2d\u6587\u3001\u82f1\u6587\u7b49\u591a\u8bed\u8a00&#xff0c;\u652f\u6301\u4e0d\u540c\u573a\u666f&#xff08;\u901a\u7528\u3001\u4f1a\u8bae\u3001\u76f4\u64ad\u7b49&#xff09;\u3002<\/li>\n<li>\u652f\u6301\u591a\u79cd\u90e8\u7f72\u65b9\u5f0f&#xff1a;\u672c\u5730 Python\u3001Docker \u5bb9\u5668\u3001ONNX \u63a8\u7406\u4f18\u5316\u7b49\u3002<\/li>\n<li>\u5f00\u6e90\u5730\u5740&#xff1a;<span>GitHub &#8211; FunASR<\/span><\/li>\n<\/ul>\n<h4>\u4e00\u3001\u672c\u5730 Python \u90e8\u7f72<\/h4>\n<h5>1. \u514b\u9686\u4ed3\u5e93<\/h5>\n<p>git clone https:\/\/github.com\/modelscope\/FunASR.git<br \/>\ncd FunASR<\/p>\n<h5>2. \u521b\u5efa\u73af\u5883\u5e76\u5b89\u88c5\u4f9d\u8d56<\/h5>\n<p># \u521b\u5efa Conda \u73af\u5883<br \/>\nconda create -n funasr python&#061;3.9<br \/>\nconda activate funasr<\/p>\n<p># \u5b89\u88c5 PyTorch&#xff08;CUDA 11.8 \u7248\u672c&#xff0c;CPU \u7248\u672c\u9700\u79fb\u9664 &#096;-c nvidia&#096;&#xff09;<br \/>\nconda install pytorch&#061;&#061;2.3.1 torchvision&#061;&#061;0.18.1 torchaudio&#061;&#061;2.3.1 pytorch-cuda&#061;11.8 -c pytorch -c nvidia<\/p>\n<p># \u5b89\u88c5 FunASR \u53ca\u76f8\u5173\u5e93<br \/>\npip install -U funasr<br \/>\npip install -U modelscope huggingface huggingface_hub<\/p>\n<h5>3. \u6a21\u578b\u4f7f\u7528\u793a\u4f8b<\/h5>\n<p>from funasr import AutoModel<\/p>\n<p># \u52a0\u8f7d ASR \u6a21\u578b&#xff08;\u4e2d\u6587\u901a\u7528&#xff09;<br \/>\nmodel &#061; AutoModel(<br \/>\n    model&#061;&#034;damo\/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch&#034;,<br \/>\n    model_revision&#061;&#034;v2.0.4&#034;<br \/>\n)<\/p>\n<p># \u52a0\u8f7d\u6807\u70b9\u6062\u590d\u6a21\u578b&#xff08;\u53ef\u9009&#xff09;<br \/>\npunc_model &#061; AutoModel(<br \/>\n    model&#061;&#034;damo\/punc_ct-transformer_zh-cn-common-vocab272727-pytorch&#034;,<br \/>\n    model_revision&#061;&#034;v1.0.4&#034;<br \/>\n)<\/p>\n<p># \u8bed\u97f3\u8bc6\u522b\u793a\u4f8b&#xff08;\u8f93\u5165\u4e3a 16kHz \u91c7\u6837\u7387\u7684 WAV \u6587\u4ef6&#xff09;<br \/>\naudio_file &#061; &#034;your_audio.wav&#034;<br \/>\nresult &#061; model(audio_in&#061;audio_file)<\/p>\n<p># \u6dfb\u52a0\u6807\u70b9&#xff08;\u53ef\u9009&#xff09;<br \/>\nif result and punc_model:<br \/>\n    text &#061; result[0][&#034;text&#034;]<br \/>\n    result_with_punc &#061; punc_model(text)<br \/>\n    print(&#034;\u8bc6\u522b\u7ed3\u679c&#xff08;\u5e26\u6807\u70b9&#xff09;:&#034;, result_with_punc[0][&#034;text&#034;])<\/p>\n<h4>\u4e8c\u3001Docker \u5bb9\u5668\u90e8\u7f72<\/h4>\n<h5>1. \u62c9\u53d6 Docker \u955c\u50cf<\/h5>\n<p># CPU \u7248\u672c<br \/>\ndocker pull registry.cn-hangzhou.aliyuncs.com\/funasr_repo\/funasr:funasr-runtime-sdk-cpu-0.4.6<\/p>\n<p># GPU \u7248\u672c&#xff08;\u9700 NVIDIA \u9a71\u52a8\u548c Docker \u652f\u6301&#xff09;<br \/>\ndocker pull registry.cn-hangzhou.aliyuncs.com\/funasr_repo\/funasr:funasr-runtime-sdk-gpu-0.4.6<\/p>\n<h5>2. \u521b\u5efa\u6a21\u578b\u76ee\u5f55\u5e76\u542f\u52a8\u5bb9\u5668<\/h5>\n<p># \u521b\u5efa\u6a21\u578b\u5b58\u50a8\u76ee\u5f55<br \/>\nmkdir -p .\/funasr-runtime-resources\/models<\/p>\n<p># \u542f\u52a8 CPU \u5bb9\u5668&#xff08;\u6620\u5c04\u7aef\u53e3 10095&#xff09;<br \/>\ndocker run -p 10095:10095 -it &#8211;privileged&#061;true \\\\<br \/>\n  -v $PWD\/funasr-runtime-resources\/models:\/workspace\/models \\\\<br \/>\n  registry.cn-hangzhou.aliyuncs.com\/funasr_repo\/funasr:funasr-runtime-sdk-cpu-0.4.6<\/p>\n<h5>3. \u542f\u52a8\u670d\u52a1&#xff08;\u5bb9\u5668\u5185\u6267\u884c&#xff09;<\/h5>\n<p>cd FunASR\/runtime<\/p>\n<p># \u542f\u52a8\u5b8c\u6574\u670d\u52a1&#xff08;\u5305\u542b VAD\u3001ASR\u3001\u6807\u70b9\u6062\u590d\u3001\u8bed\u8a00\u6a21\u578b\u7b49&#xff09;<br \/>\nnohup bash run_server.sh \\\\<br \/>\n  &#8211;download-model-dir \/workspace\/models \\\\<br \/>\n  &#8211;vad-dir damo\/speech_fsmn_vad_zh-cn-16k-common-onnx \\\\<br \/>\n  &#8211;model-dir damo\/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx \\\\<br \/>\n  &#8211;punc-dir damo\/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx \\\\<br \/>\n  &#8211;lm-dir damo\/speech_ngram_lm_zh-cn-ai-wesp-fst \\\\<br \/>\n  &#8211;itn-dir thuduj12\/fst_itn_zh \\\\<br \/>\n  &#8211;hotword \/workspace\/models\/hotwords.txt &gt; log.txt 2&gt;&amp;1 &amp;<\/p>\n<p># \u5173\u95ed SSL&#xff08;\u6dfb\u52a0 &#8211;certfile 0 \u53c2\u6570&#xff09;<br \/>\nnohup bash run_server.sh &#8230; &#8211;certfile 0 &gt; log.txt 2&gt;&amp;1 &amp;<\/p>\n<h4>\u4e09\u3001\u57fa\u4e8e FastAPI \u7684 Web \u670d\u52a1\u5b9e\u73b0<\/h4>\n<h5>1. \u670d\u52a1\u7aef\u4ee3\u7801&#xff08;asr_service.py&#xff09;<\/h5>\n<p>from fastapi import FastAPI, File, UploadFile, HTTPException<br \/>\nfrom fastapi.responses import JSONResponse<br \/>\nimport uvicorn<br \/>\nimport wave<br \/>\nimport numpy as np<br \/>\nfrom funasr import AutoModel<\/p>\n<p>app &#061; FastAPI(title&#061;&#034;FunASR \u8bed\u97f3\u8bc6\u522b\u670d\u52a1&#034;)<\/p>\n<p># \u521d\u59cb\u5316\u6a21\u578b<br \/>\ntry:<br \/>\n    model &#061; AutoModel(<br \/>\n        model&#061;&#034;damo\/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch&#034;,<br \/>\n        model_revision&#061;&#034;v2.0.4&#034;<br \/>\n    )<br \/>\n    punc_model &#061; AutoModel(<br \/>\n        model&#061;&#034;damo\/punc_ct-transformer_zh-cn-common-vocab272727-pytorch&#034;,<br \/>\n        model_revision&#061;&#034;v1.0.4&#034;<br \/>\n    )<br \/>\nexcept Exception as e:<br \/>\n    raise HTTPException(status_code&#061;500, detail&#061;f&#034;\u6a21\u578b\u52a0\u8f7d\u5931\u8d25: {str(e)}&#034;)<\/p>\n<p>&#064;app.post(&#034;\/asr&#034;)<br \/>\nasync def recognize_audio(file: UploadFile &#061; File(&#8230;)):<br \/>\n    try:<br \/>\n        # \u4fdd\u5b58\u4e34\u65f6\u6587\u4ef6<br \/>\n        temp_file &#061; &#034;temp_audio.wav&#034;<br \/>\n        with open(temp_file, &#034;wb&#034;) as f:<br \/>\n            f.write(await file.read())<\/p>\n<p>        # \u68c0\u67e5\u97f3\u9891\u683c\u5f0f&#xff08;\u9700 16kHz \u91c7\u6837\u7387&#xff09;<br \/>\n        with wave.open(temp_file, &#034;rb&#034;) as wf:<br \/>\n            sample_rate &#061; wf.getframerate()<br \/>\n            if sample_rate !&#061; 16000:<br \/>\n                return JSONResponse(<br \/>\n                    content&#061;{&#034;error&#034;: &#034;\u8bf7\u4e0a\u4f20 16kHz \u91c7\u6837\u7387\u7684 WAV \u6587\u4ef6&#034;},<br \/>\n                    status_code&#061;400<br \/>\n                )<\/p>\n<p>        # \u6267\u884c\u8bc6\u522b<br \/>\n        result &#061; model(audio_in&#061;temp_file)<\/p>\n<p>        # \u6dfb\u52a0\u6807\u70b9&#xff08;\u53ef\u9009&#xff09;<br \/>\n        if result and punc_model:<br \/>\n            text &#061; result[0][&#034;text&#034;]<br \/>\n            result_with_punc &#061; punc_model(text)<br \/>\n            result[0][&#034;text_with_punctuation&#034;] &#061; result_with_punc[0][&#034;text&#034;]<\/p>\n<p>        return {&#034;result&#034;: result}<br \/>\n    except Exception as e:<br \/>\n        return JSONResponse(content&#061;{&#034;error&#034;: str(e)}, status_code&#061;500)<br \/>\n    finally:<br \/>\n        # \u6e05\u7406\u4e34\u65f6\u6587\u4ef6<br \/>\n        import os<br \/>\n        if os.path.exists(temp_file):<br \/>\n            os.remove(temp_file)<\/p>\n<p>if __name__ &#061;&#061; &#034;__main__&#034;:<br \/>\n    uvicorn.run(app, host&#061;&#034;0.0.0.0&#034;, port&#061;8000)<\/p>\n<h5>2. \u542f\u52a8\u670d\u52a1<\/h5>\n<p>python asr_service.py<\/p>\n<h5>3. \u5ba2\u6237\u7aef\u8c03\u7528\u793a\u4f8b<\/h5>\n<p>import requests<\/p>\n<p>url &#061; &#034;http:\/\/localhost:8000\/asr&#034;<br \/>\naudio_file &#061; &#034;test.wav&#034;  # 16kHz WAV \u6587\u4ef6<\/p>\n<p>with open(audio_file, &#034;rb&#034;) as f:<br \/>\n    response &#061; requests.post(url, files&#061;{&#034;file&#034;: f})<\/p>\n<p>if response.status_code &#061;&#061; 200:<br \/>\n    print(&#034;\u8bc6\u522b\u7ed3\u679c:&#034;, response.json())<br \/>\nelse:<br \/>\n    print(f&#034;\u9519\u8bef: {response.status_code}, {response.text}&#034;)<\/p>\n<h4>\u56db\u3001\u6027\u80fd\u4f18\u5316\u5efa\u8bae<\/h4>\n<li>\n<p>\u6a21\u578b\u9009\u62e9&#xff1a;<\/p>\n<ul>\n<li>\u8f7b\u91cf\u7ea7\u6a21\u578b&#xff1a;damo\/speech_paraformer-tiny_asr_nat-zh-cn-16k-common&#xff08;\u66f4\u5feb&#xff09;<\/li>\n<li>\u901a\u7528\u6a21\u578b&#xff1a;damo\/speech_paraformer-large_asr_nat-zh-cn-16k-common&#xff08;\u66f4\u51c6&#xff09;<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u6a21\u578b\u91cf\u5316&#xff1a; \u4f7f\u7528 ONNX \u6216 TensorRT \u5bf9\u6a21\u578b\u8fdb\u884c\u91cf\u5316&#xff0c;\u51cf\u5c11\u5185\u5b58\u5360\u7528\u5e76\u63d0\u5347\u63a8\u7406\u901f\u5ea6\u3002<\/p>\n<\/li>\n<li>\n<p>\u6279\u5904\u7406&#xff1a; \u5bf9\u591a\u4e2a\u97f3\u9891\u6587\u4ef6\u8fdb\u884c\u6279\u91cf\u5904\u7406&#xff0c;\u63d0\u9ad8\u541e\u5410\u91cf\u3002<\/p>\n<\/li>\n<li>\n<p>\u7f13\u5b58\u673a\u5236&#xff1a; \u5bf9\u76f8\u540c\u97f3\u9891\u7684\u8bc6\u522b\u7ed3\u679c\u8fdb\u884c\u7f13\u5b58&#xff0c;\u907f\u514d\u91cd\u590d\u8ba1\u7b97\u3002<\/p>\n<\/li>\n<h4>\u4e94\u3001\u5e38\u89c1\u95ee\u9898\u53ca\u89e3\u51b3\u65b9\u6848<\/h4>\n<li>\n<p>CUDA \u517c\u5bb9\u6027\u95ee\u9898&#xff1a;<\/p>\n<ul>\n<li>\u786e\u4fdd PyTorch \u7248\u672c\u4e0e\u672c\u5730 CUDA \u9a71\u52a8\u5339\u914d\u3002<\/li>\n<li>CPU \u73af\u5883\u4f7f\u7528\u65e0 CUDA \u7684 PyTorch \u7248\u672c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>\u6a21\u578b\u4e0b\u8f7d\u5931\u8d25&#xff1a;<\/p>\n<ul>\n<li>\u624b\u52a8\u4e0b\u8f7d\u6a21\u578b\u5e76\u653e\u7f6e\u5230\u6307\u5b9a\u8def\u5f84\u3002<\/li>\n<li>\u914d\u7f6e\u7f51\u7edc\u4ee3\u7406\u6216\u4f7f\u7528\u56fd\u5185\u955c\u50cf\u6e90\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\n<p>Docker \u6743\u9650\u95ee\u9898&#xff1a;<\/p>\n<ul>\n<li>\u6dfb\u52a0\u00a0&#8211;privileged&#061;true\u00a0\u53c2\u6570\u6216\u8c03\u6574\u5bb9\u5668\u6743\u9650\u3002<\/li>\n<\/ul>\n<\/li>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4&#xff0c;\u53ef\u4ee5\u6784\u5efa\u4e00\u4e2a\u5b8c\u6574\u7684\u672c\u5730\u8bed\u97f3\u8bc6\u522b\u670d\u52a1&#xff0c;\u652f\u6301\u5b9e\u65f6\u8bed\u97f3\u8f6c\u6587\u5b57\u529f\u80fd\u3002<\/p>\n<\/p>\n<p>\u542f\u52a8Fay\u6570\u5b57\u4eba\u7684\u8bed\u97f3\u670d\u52a1\u65b9\u6cd5\u5982\u4e0b&#xff1a;<\/p>\n<h4>\u5b89\u88c5\u542f\u52a8funasr<\/h4>\n<p>1\u3001\u8fdb\u5165Fay\/asr\/funasr\u4ee3\u7801\u76ee\u5f55<\/p>\n<p><img decoding=\"async\" alt=\"\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260114114111-696780d727a95.png\" \/><\/p>\n<p>2\u3001\u5b89\u88c5\u4f9d\u8d56<\/p>\n<p>\u5728\u7ec8\u7aef\u6216cmd\u4e2d\u5206\u522b\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4\u00a0<\/p>\n<p>pip install torch<br \/>\npip install modelscope<br \/>\npip install testresources<br \/>\npip install websockets&#061;&#061;10.4<br \/>\npip install torchaudio<br \/>\npip install FunASR <\/p>\n<p>3\u3001\u7ec8\u7aef\u6216cmd\u542f\u52a8funasr\u670d\u52a1\u7aef&#xff08;\u4fdd\u6301\u542f\u52a8&#xff09;<\/p>\n<p>python -u ASR_server.py &#8211;host &#034;0.0.0.0&#034; 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