{"id":3967,"date":"2022-10-18T07:59:13","date_gmt":"2022-10-18T07:59:13","guid":{"rendered":"https:\/\/www.synsense.ai\/?p=3967"},"modified":"2023-03-13T06:22:19","modified_gmt":"2023-03-13T06:22:19","slug":"synsense-neuromorphic-snn-audio-processing-applications","status":"publish","type":"post","link":"https:\/\/www.synsense.ai\/zh-hans\/synsense-neuromorphic-snn-audio-processing-applications\/","title":{"rendered":"SynSense\u65f6\u8bc6\u79d1\u6280\u53d1\u8868\u97f3\u9891\u4fe1\u53f7\u5904\u7406\u6280\u672f\u7a81\u7834\uff1a Rockpool\u8f6f\u4ef6\u5305+Xylo\u4f4e\u7ef4\u5ea6\u7c7b\u8111\u5904\u7406\u5668\uff0c\u8d4b\u80fd\u5546\u4e1a\u5316\u58f0\u97f3\u68c0\u6d4b\u5e94\u7528"},"content":{"rendered":"

\u8fd1\u65e5\uff0cSynSense\u65f6\u8bc6\u79d1\u6280\u53d1\u8868\u6587\u7ae0<\/a>\uff0c\u5c55\u793a\u4e86\u7c7b\u8111\u97f3\u9891\u4fe1\u53f7\u5904\u7406\u6280\u672f\u65b0\u6210\u679c\uff1a\u901a\u8fc7SynSense\u65f6\u8bc6\u79d1\u6280\u81ea\u7814\u8f6f\u4ef6Rockpool<\/strong><\/a>\uff0c\u5f00\u53d1\u57fa\u4e8e\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u4fe1\u53f7\u5904\u7406\uff0c\u5305\u62ec\u4fe1\u53f7\u5904\u7406\u5e94\u7528\u7684\u8bbe\u8ba1\u3001\u8bad\u7ec3\uff0c\u5e76\u90e8\u7f72\u81f3SynSense\u65f6\u8bc6\u79d1\u6280\u4f4e\u7ef4\u5ea6\u7c7b\u8111\u5904\u7406\u5668Xylo<\/strong><\/a>\u4e2d\u3002\u7814\u7a76\u663e\u793a\uff0c\u5728\u6267\u884c\u73af\u5883\u97f3\u68c0\u6d4b\u5206\u7c7b\u4efb\u52a1\u65f6\uff0c\u8be5\u5e94\u7528\u51c6\u786e\u7387\u8fbe\u5230\u4e8698%\uff0c\u540c\u65f6\u4ec5\u6d88\u801793\u5fae\u74e6\u52a8\u6001\u529f\u8017\uff08high accuracy:\u00a098%\u00a0at low power <100\u03bcW inference power\uff09\u3002<\/p>\n

\"\"<\/p>\n

\u8be5\u9879\u6280\u672f\u6210\u679c\u7531SynSense\u65f6\u8bc6\u79d1\u6280\u9ad8\u7ea7\u673a\u5668\u5b66\u4e60\u5de5\u7a0b\u5e08Hannah Bos\u4ee5\u53ca\u5168\u7403\u7814\u53d1\u526f\u603b\u88c1Dylan Muir\u535a\u58eb\u5171\u540c\u53d1\u8868\uff0c\u8be6\u89c1\u5168\u6587\uff1ahttps:\/\/arxiv.org\/abs\/2208.12991<\/a><\/p>\n

\"\"<\/a><\/p>\n

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\n
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\"\"<\/strong><\/a><\/em>Rockpool<\/strong><\/a>\u662f\u4e00\u4e2a\u5f00\u6e90Python\u8f6f\u4ef6\u5305\uff0c\u7528\u4e8e\u5f00\u53d1\u57fa\u4e8e\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u7684\u4fe1\u53f7\u5904\u7406\u3002Rockpool\u5141\u8bb8\u7f51\u7edc\u7684\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u6d4b\u8bd5\uff0c\u4ee5\u53ca\u5728\u4e8b\u4ef6\u9a71\u52a8\u7684\u795e\u7ecf\u5f62\u6001\u786c\u4ef6\u4e0a\u7684\u4eff\u771f\u3002Rockpool\u4e3a\u56fe\u5c42\u63d0\u4f9b\u4e86\u8bb8\u591a\u6a21\u62df\u540e\u7aef\uff0c\u5305\u62ecBrian2\uff0cNEST\uff0cTorch\uff0cJAX\uff0cNumba\u548craw numpy\u3002Rockpool\u65e8\u5728\u7b80\u5316\u57fa\u4e8eSNN\u7684\u673a\u5668\u5b66\u4e60\uff0c\u800c\u975e\u4e3a\u8be6\u7ec6\u6a21\u62df\u751f\u7269\u7f51\u7edc\u800c\u8bbe\u8ba1\u7684\u3002<\/em><\/p>\n

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\"\"<\/strong><\/em><\/a>XYLO\uff0c\u4e16\u754c\u9886\u5148\u7684\u4f4e\u7ef4\u5ea6\u7c7b\u8111\u5904\u7406\u5668<\/strong><\/em><\/a>XYLO\u662f\u4e00\u6b3e\u57fa\u4e8e\u7b2c\u4e09\u4ee3\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u3001\u8d85\u4f4e\u529f\u8017(~0.1mW)\u7684\u3001always-on\u4f4e\u7ef4\u5ea6\u4fe1\u53f7\u4e13\u7528\u7684AI\u5904\u7406\u5668\u3002XYLO\u82af\u7247\u5185\u90e8\u96c6\u6210\u4e86\u6a21\u62df\u524d\u7aef\u9884\u5904\u7406\uff0c\u53ef\u5bf9\u4f4e\u7ef4\u5ea6\u81ea\u7136\uff08\u6a21\u62df\uff09\u4fe1\u53f7\u76f4\u63a5\u8fdb\u884c\u8fdb\u884c\u9884\u5904\u7406\uff1b\u5185\u5efa\u795e\u7ecf\u7f51\u7edc\uff0c\u652f\u6301\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\uff08SNN\uff09\u548c\u50a8\u5b58\u6c60\u8ba1\u7b97\u6280\u672f\u7b49\uff1b\u56e0\u6b64XYLO\u7279\u522b\u9002\u5408\u5404\u79cdmems\u9ea6\u514b\u98ce\u3001\u6e29\u5ea6\u4f20\u611f\u5668\u3001\u538b\u529b\u4f20\u611f\u5668\u3001\u632f\u52a8\u4f20\u611f\u5668\u3001\u52a0\u901f\u5ea6\u4f20\u611f\u5668\u3001\u9640\u87ba\u4eea\u53ca\u808c\u7535\u3001\u5fc3\u7535\u7b49\u4fe1\u53f7\u7684\u667a\u80fd\u5904\u7406\u3002<\/em><\/section>\n<\/section>\n
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