{"id":31682,"date":"2026-09-16T17:22:24","date_gmt":"2026-09-16T09:22:24","guid":{"rendered":"http:\/\/139.9.1.231\/?p=31682"},"modified":"2026-09-16T17:22:30","modified_gmt":"2026-09-16T09:22:30","slug":"pesqstoisisdr","status":"publish","type":"post","link":"http:\/\/139.9.1.231\/index.php\/2026\/09\/16\/pesqstoisisdr\/","title":{"rendered":"PESQ\u3001STOI\u3001SI\u2011SDR \u8bed\u97f3\u589e\u5f3a\u8bc4\u4ef7\u6307\u6807"},"content":{"rendered":"\n

\u6587\u7ae0\uff1ahttps:\/\/mp.weixin.qq.com\/s\/DM1FSdVinKyI_IYJ_e9dbg<\/p>\n\n\n\n

\u8bed\u97f3\u589e\u5f3a\u8bc4\u4ef7\u65b9\u6cd5\uff082\uff09\uff1aPESQ\u3001STOI\u3001SI-SDR \u5206\u522b\u5728\u6d4b\u4ec0\u4e48<\/p>\n\n\n\n

\u505a\u8bed\u97f3\u589e\u5f3a\u65f6\uff0c\u6a21\u578b\u8f93\u51fa\u66f4\u5e72\u51c0\uff0c\u672a\u5fc5\u542c\u611f\u6700\u4f73\u3002\u672c\u671f\u4ecb\u7ecd\u4ee5\u4e0b\u8bc4\u4ef7\u6307\u6807\uff1aPESQ\u3001STOI \u4e0e SI-SDR \u5206\u522b\u4ece\u611f\u77e5\u8d28\u91cf\u3001\u53ef\u61c2\u5ea6\u548c\u4fe1\u53f7\u91cd\u5efa\u8bef\u5dee\u4e09\u4e2a\u89d2\u5ea6\u8bc4\u4ef7\u8bed\u97f3\u589e\u5f3a\u7684\u6548\u679c\uff0c\u5e76\u4f7f\u7528Github\u5f00\u6e90\u4ee3\u7801\u5bf9\u793a\u4f8b\u97f3\u9891\u8fdb\u884c\u8ba1\u7b97\u8bc4\u4ef7\uff08\u9644Github\u6e90\u7801\u94fe\u63a5\uff09<\/strong>\uff0c\u8ba9\u5927\u5bb6\u5bf9\u8fd9\u51e0\u4e2a\u6307\u6807\u6709\u4e2a\u5927\u81f4\u7684\u8ba4\u8bc6\u3002<\/p>\n\n\n\n

\"\"
\u56fe 1\uff1aPESQ\u3001STOI \u4e0e SI-SDR \u9762\u5411\u7684\u662f\u540c\u4e00\u7ec4\u53c2\u8003\/\u589e\u5f3a\u8bed\u97f3\uff0c\u4f46\u5206\u522b\u56de\u7b54\u611f\u77e5\u8d28\u91cf\u3001\u8bed\u97f3\u53ef\u61c2\u5ea6\u4e0e\u4fe1\u53f7\u91cd\u5efa\u8bef\u5dee\u7684\u95ee\u9898\u3002<\/figcaption><\/figure>\n\n\n\n

1. PESQ \u8bc4\u4ef7\uff1a\u4e0e\u53c2\u8003\u97f3\u9891\u611f\u77e5\u8d28\u91cf\u7684\u76f8\u8fd1\u7a0b\u5ea6<\/h2>\n\n\n\n

PESQ\uff08Perceptual Evaluation of Speech Quality\uff09\u662f\u5168\u53c2\u8003\u8bed\u97f3\u8d28\u91cf\u6307\u6807\uff0c\u5b83\u9700\u8981\u4e00\u6bb5\u5e72\u51c0\u53c2\u8003\u8bed\u97f3\u548c\u4e00\u6bb5\u7ecf\u8fc7\u7cfb\u7edf\u5904\u7406\u540e\u7684\u8bed\u97f3\u7ed3\u679c<\/strong>\uff0c\u7528\u611f\u77e5\u6a21\u578b\u4f30\u8ba1\u4e24\u8005\u5dee\u5f02\u5bf9\u542c\u611f\u8d28\u91cf\u7684\u5f71\u54cd\u3002\u5b83\u6700\u521d\u9762\u5411\u7a84\u5e26\u7535\u8bdd\u7f51\u7edc\u3001\u8bed\u97f3\u7f16\u89e3\u7801\u548c\u4f20\u8f93\u94fe\u8def\u7684\u7aef\u5230\u7aef\u8d28\u91cf\u8bc4\u4f30\uff1b\u5bbd\u5e26\u6269\u5c55\u4e5f\u5e38\u88ab\u7528\u4e8e\u8bed\u97f3\u589e\u5f3a\u5b9e\u9a8c\u3002<\/p>\n\n\n\n

\u4ece\u8ba1\u7b97\u8fc7\u7a0b\u6765\u770b\uff0cPESQ \u5148\u5bf9\u53c2\u8003\u8bed\u97f3\u4e0e\u5904\u7406\u540e\u7684\u8bed\u97f3\u505a\u65f6\u95f4\u5bf9\u9f50\u548c\u7535\u5e73\u5904\u7406\uff0c\u518d\u6620\u5c04\u5230\u8fd1\u4f3c\u4eba\u8033\u611f\u77e5\u7684\u8868\u793a\uff0c\u805a\u5408\u65f6\u9891\u57df\u4e2d\u7684\u611f\u77e5\u6270\u52a8\uff0c\u6700\u540e\u8f93\u51fa\u4e00\u4e2a\u8d28\u91cf\u9884\u6d4b\u5206\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\u53c2\u8003\u548c\u5f85\u6d4b\u8bed\u97f3\u9700\u8981\u662f\u540c\u4e00\u53e5\u5185\u5bb9\u4e14\u9700\u8981\u5bf9\u9f50\u3002\u53ef\u4ee5\u628a PESQ \u7684\u5904\u7406\u8fc7\u7a0b\u6982\u62ec\u4e3a\uff1a<\/p>\n\n\n\n

\u53c2\u8003\u8bed\u97f3 + \u5904\u7406\u540e\u8bed\u97f3
        \u2193
\u65f6\u95f4\u5bf9\u9f50\u4e0e\u7535\u5e73\u5904\u7406
        \u2193
\u542c\u89c9\u9891\u5e26 \/ \u54cd\u5ea6\u6620\u5c04
        \u2193
\u8ba1\u7b97\u5bf9\u79f0\u4e0e\u975e\u5bf9\u79f0\u611f\u77e5\u6270\u52a8
        \u2193
\u805a\u5408\u4e3a PESQ \u8d28\u91cf\u9884\u6d4b\u5206<\/code><\/pre>\n\n\n\n
Github\u6e90\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/audiolabs\/PESQ<\/p><\/blockquote>\n\n\n\n
2. STOI \u8bc4\u4ef7\uff1a\u8bed\u97f3\u53ef\u61c2\u5ea6<\/h2>\n\n\n\n
STOI\uff08Short-Time Objective Intelligibility\uff09\u4e5f\u662f\u5168\u53c2\u8003\u6307\u6807\uff0c\u4f46\u4fa7\u91cd\u70b9\u504f\u5411\u4e8e\u201c\u8bed\u97f3\u53ef\u61c2\u5ea6\u201d\u3002<\/strong>\u5b83\u7531 Taal \u7b49\u4eba\u5728\u566a\u58f0\u4e0e\u65f6\u9891\u52a0\u6743\u5931\u771f\u8bed\u97f3\u7684\u53ef\u61c2\u5ea6\u9884\u6d4b\u4efb\u52a1\u4e2d\u63d0\u51fa\uff0c\u76ee\u6807\u662f\u8ba9\u81ea\u52a8\u5206\u6570\u4e0e\u542c\u97f3\u5b9e\u9a8c\u4e2d\u7684\u8bed\u97f3\u53ef\u61c2\u5ea6\u8d8b\u52bf\u76f8\u5173\u3002\u5176\u6838\u5fc3\u601d\u8def\u662f\uff0c\u6bd4\u8f83\u5e72\u51c0\u8bed\u97f3\u4e0e\u5904\u7406\u540e\u8bed\u97f3\u5728\u77ed\u65f6\u3001\u5206\u9891\u5e26\u533a\u57df\u5185\u7684\u65f6\u95f4\u5305\u7edc\u76f8\u5173\u6027\uff0c\u6838\u5fc3\u8ba1\u7b97\u53ef\u4ee5\u5199\u6210\u201c\u5206\u9891\u5e26\u3001\u77ed\u65f6\u95f4\u6bb5\u76f8\u5173\u7cfb\u6570\u7684\u5e73\u5747\u503c\u201d\uff1a<\/p>\n\n\n\n
STOI = \u5e73\u5747\u503c { corr(x\u2c7c,m, y\u2032\u2c7c,m) }<\/code><\/pre>\n\n\n\n
\u5176\u4e2d\uff0cx\u2c7c,m<\/code> \u662f\u7b2c j<\/code> \u4e2a\u4e09\u5206\u4e4b\u4e00\u500d\u9891\u7a0b\u5185\u3001\u4ee5\u7b2c m<\/code> \u5e27\u4e3a\u672b\u5c3e\u7684\u4e00\u6bb5\u53c2\u8003\u8bed\u97f3\u5305\u7edc\uff1by\u2032\u2c7c,m<\/code> \u662f\u4e0e\u4e4b\u5bf9\u5e94\u3001\u7ecf\u8fc7\u5f52\u4e00\u5316\u548c\u9650\u5e45\u5904\u7406\u540e\u7684\u589e\u5f3a\u8bed\u97f3\u5305\u7edc\uff1bcorr(\u00b7)<\/code> \u662f\u4e24\u6bb5\u5305\u7edc\u7684\u76ae\u5c14\u900a\u76f8\u5173\u7cfb\u6570\u3002\u4e5f\u5c31\u662f\u8bf4\uff0cSTOI \u4e0d\u76f4\u63a5\u6bd4\u8f83\u9010\u4e2a\u6ce2\u5f62\u91c7\u6837\u70b9\uff0c\u800c\u662f\u89c2\u5bdf\u5173\u952e\u9891\u5e26\u7684\u77ed\u65f6\u80fd\u91cf\u8d77\u4f0f\u662f\u5426\u4ecd\u4e0e\u53c2\u8003\u8bed\u97f3\u4fdd\u6301\u4e00\u81f4\u3002<\/strong><\/p>\n\n\n\n
\u4ece\u5b9a\u4e49\u4e5f\u53ef\u4ee5\u770b\u51fa\u6765\uff0cSTOI \u66f4\u5728\u610f\u8f85\u97f3\u3001\u5143\u97f3\u548c\u97f3\u8282\u8282\u594f\u7b49\u627f\u8f7d\u5185\u5bb9\u7684\u77ed\u65f6\u7ed3\u6784\u6709\u6ca1\u6709\u88ab\u7834\u574f\u3002\u5176\u8ba1\u7b97\u65f6\u4f1a\u53bb\u9664\u4f4e\u80fd\u91cf\u9759\u97f3\u5e27\uff0c\u5c06\u4fe1\u53f7\u53d8\u6362\u5230\u77ed\u65f6\u9891\u5e26\u8868\u793a\uff0c\u6309\u4e09\u5206\u4e4b\u4e00\u500d\u9891\u7a0b\u6c47\u805a\u5305\u7edc\uff0c\u5e76\u5728\u77ed\u65f6\u95f4\u6bb5\u5185\u8ba1\u7b97\u53c2\u8003\u4e0e\u5904\u7406\u7ed3\u679c\u7684\u76f8\u5173\u6027\u540e\u6c42\u5e73\u5747\u3002\u540c\u4e00\u7ec4\u8bed\u6599\u4e0b\uff0c\u5206\u6570\u901a\u5e38\u63a5\u8fd1 0 \u5230 1\uff0c\u6570\u503c\u66f4\u9ad8\u901a\u5e38\u8868\u793a\u9884\u6d4b\u53ef\u61c2\u5ea6\u66f4\u597d\u3002\u6709\u65f6\u5019\u4e00\u4e2a\u6a21\u578b\u53ef\u80fd\u628a\u80cc\u666f\u538b\u5f97\u5f88\u4f4e\uff0cSTOI \u5374\u6ca1\u6709\u63d0\u5347\uff0c\u751a\u81f3\u4e0b\u964d\u3002\u539f\u56e0\u5f80\u5f80\u662f\u7b97\u6cd5\u540c\u65f6\u524a\u5f31\u4e86\u5f31\u8f85\u97f3\u3001\u8bcd\u5c3e\u6216\u77ac\u6001\u7ed3\u6784\u3002<\/p>\n\n\n\n
Github\u6e90\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/mpariente\/pystoi<\/p><\/blockquote>\n\n\n\n
3. SI-SDR\u8bc4\u4ef7\uff1a \u5c3a\u5ea6\u4e0d\u53d8\u4fe1\u53f7\u5931\u771f\u6bd4<\/h2>\n\n\n\n
SI-SDR\uff08Scale-Invariant Signal-to-Distortion Ratio\uff0c\u5c3a\u5ea6\u4e0d\u53d8\u4fe1\u53f7\u5931\u771f\u6bd4\uff09\u5e38\u7528\u4e8e\u8bed\u97f3\u5206\u79bb\u4e0e\u7aef\u5230\u7aef\u8bed\u97f3\u589e\u5f3a\u3002\u5b83\u5c06\u4f30\u8ba1\u8bed\u97f3 \u015d<\/code> \u6295\u5f71\u5230\u76ee\u6807\u8bed\u97f3 s<\/code> \u7684\u65b9\u5411\u4e0a\uff0c\u5148\u5141\u8bb8\u4e00\u4e2a\u6700\u4f18\u7684\u6574\u4f53\u7f29\u653e\uff0c\u518d\u628a\u5269\u4f59\u90e8\u5206\u770b\u4f5c\u5931\u771f\u3002\u4e0e\u76f4\u63a5\u6bd4\u8f83\u5e45\u5ea6\u7684\u6307\u6807\u4e0d\u540c\uff0c\u6574\u4f53\u97f3\u91cf\u88ab\u653e\u5927\u6216\u7f29\u5c0f\u672c\u8eab\u4e0d\u4f1a\u6539\u53d8 SI-SDR<\/strong>\uff0c\u8fd9\u6b63\u662f\u201cscale-invariant\u201d\u7684\u542b\u4e49\u3002\u5176\u5e38\u7528\u5b9a\u4e49\u5982\u4e0b\uff0c\u5176\u4e2d \u015d\u1d40s<\/code> \u8868\u793a\u5185\u79ef\uff0c||\u00b7||\u00b2<\/code> \u8868\u793a\u4fe1\u53f7\u80fd\u91cf\uff1a<\/p>\n\n\n\n
\u03b1 = (\u015d\u1d40s) \/ ||s||\u00b2
e_target = \u03b1s
e_res = \u015d \u2212 e_target

SI-SDR = 10 log\u2081\u2080 (||e_target||\u00b2 \/ ||e_res||\u00b2)<\/code><\/pre>\n\n\n\n
\u56e0\u6b64\u5b83\u8bc4\u4ef7\u7684\u662f\uff1a\u5728\u5ffd\u7565\u4e00\u4e2a\u5168\u5c40\u589e\u76ca\u5dee\u5f02\u540e\uff0c\u4f30\u8ba1\u7ed3\u679c\u4e2d\u6709\u591a\u5c11\u80fd\u91cf\u843d\u5728\u76ee\u6807\u8bed\u97f3\u65b9\u5411\u4e0a\uff0c\u5269\u4f59\u8bef\u5dee\u6709\u591a\u5c11\u3002<\/strong> \u5206\u6570\u8d8a\u9ad8\uff0c\u8868\u793a\u4e0e\u76ee\u6807\u4fe1\u53f7\u7684\u6295\u5f71\u5173\u7cfb\u8d8a\u597d\u3002SI-SDR \u5bf9\u8bad\u7ec3\u548c\u8bc4\u6d4b\u90fd\u5f88\u65b9\u4fbf\uff0c\u5c24\u5176\u9002\u5408\u6709\u660e\u786e\u5e72\u51c0\u76ee\u6807\u6216\u5206\u79bb\u76ee\u6807\u7684\u76d1\u7763\u4efb\u52a1\u3002<\/p>\n\n\n\n
Github\u6e90\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/fgnt\/pb_bss\/blob\/master\/pb_bss\/evaluation\/module_si_sdr.py<\/p><\/blockquote>\n\n\n\n
4. \u6307\u6807\u6bd4\u8f83<\/h2>\n\n\n\n
\u6307\u6807<\/th>\u6700\u4e3b\u8981\u7684\u6d4b\u91cf\u5bf9\u8c61<\/th>\u66f4\u9002\u5408\u56de\u7b54\u7684\u95ee\u9898<\/th>\u5bb9\u6613\u9057\u6f0f\u7684\u65b9\u9762<\/th><\/tr><\/thead>
PESQ<\/td>\u611f\u77e5\u8d28\u91cf\u9884\u6d4b<\/td>\u542c\u8d77\u6765\u662f\u5426\u66f4\u63a5\u8fd1\u5e72\u51c0\u8bed\u97f3<\/td>\u8bed\u4e49\u662f\u5426\u53ef\u61c2\u3001\u5206\u5e03\u5916\u4f2a\u5f71<\/td><\/tr>
STOI<\/td>\u77ed\u65f6\u5305\u7edc\u7ed3\u6784\u4e0e\u53ef\u61c2\u5ea6\u8d8b\u52bf<\/td>\u8bed\u97f3\u5185\u5bb9\u662f\u5426\u4ecd\u5bb9\u6613\u8fa8\u8ba4<\/td>\u81ea\u7136\u5ea6\u3001\u6b8b\u4f59\u566a\u58f0\u662f\u5426\u4ee4\u4eba\u8212\u9002<\/td><\/tr>
SI-SDR<\/td>\u4e0e\u76ee\u6807\u4fe1\u53f7\u7684\u6295\u5f71\u8bef\u5dee<\/td>\u4fe1\u53f7\u91cd\u5efa\/\u5206\u79bb\u8bef\u5dee\u662f\u5426\u51cf\u5c0f<\/td>\u4eba\u8033\u611f\u77e5\u8d28\u91cf\u4e0e\u4e3b\u89c2\u504f\u597d<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
5. \u8bc4\u4ef7\u793a\u4f8b<\/h2>\n\n\n\n
\u672c\u6587\u4ee5\u4e00\u4e2a\u793a\u4f8b\u97f3\u9891\uff08\u5305\u62ec1\u4e2a\u53c2\u8003\u5e72\u51c0\u8bed\u97f3\u3001\u76f8\u5bf9\u5e94\u76841\u4e2a\u7ecf\u8fc7\u964d\u566a\u5904\u7406\u540e\u7684\u8bed\u97f3\uff0c 48k\u91c7\u6837\u7387\uff09\u8fdb\u884c3\u4e2a\u6307\u6807\u7684\u8ba1\u7b97\uff0c\u793a\u4f8b\u97f3\u9891\u65f6\u57df\u56fe\u5982\u4e0b\uff1a<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u53c2\u8003\u5e72\u51c0\u8bed\u97f3\u65f6\u57df\u56fe\u4e0e\u9891\u8c31\u56fe<\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u964d\u566a\u5904\u7406\u540e\u7684\u8bed\u97f3\u65f6\u57df\u56fe\u4e0e\u9891\u8c31\u56fe<\/p>\n\n\n\n
3\u4e2a\u6307\u6807\u7684\u8ba1\u7b97\u7ed3\u679c\u5982\u4e0b\uff1a<\/p>\n\n\n\n
\u6307\u6807<\/th>\u65f6\u5ef6\u8ba1\u7b97<\/th>\u672a\u65f6\u95f4\u5bf9\u9f50<\/th>\u65f6\u95f4\u5bf9\u9f50\u540e<\/th><\/tr><\/thead>
PESQ<\/td>0.04s<\/td>—<\/td>1.8573<\/td><\/tr>
STOI<\/td>0.04s<\/td>0.2049<\/td>0.8418<\/td><\/tr>
SI-SDR<\/td>0.04s<\/td>-35.2156 dB<\/td>6.7163 dB<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
3\u4e2a\u6307\u6807\u90fd\u9700\u8981\u5bf9\u97f3\u9891\u8fdb\u884c\u65f6\u95f4\u5bf9\u9f50\u7684\uff0c\u5176\u4e2dPESQ\u7531\u4e8e\u6e90\u7801\u5185\u90e8\u505a\u4e86\u65f6\u95f4\u5bf9\u9f50\uff0c\u6240\u4ee5PESQ\u7ed3\u679c\u6682\u65f6\u53ea\u6709\u5bf9\u9f50\u540e\u7684\u7ed3\u679c\uff0c\u6ca1\u6709\u989d\u5916\u505a\u201c\u672a\u65f6\u95f4\u5bf9\u9f50\u7684\u7ed3\u679c\u201d\u3002\u4ece\u53e6\u5916\u4e24\u4e2a\u6307\u6807\u53ef\u4ee5\u770b\u5230\uff0c\u65f6\u95f4\u5bf9\u9f50\u4e0e\u5426\u5bf9\u7ed3\u679c\u7684\u5f71\u54cd\u8fd8\u662f\u5f88\u5927\u7684\u3002\u5176\u4e2d PESQ \u8d8a\u63a5\u8fd1\u5206\u503c 5\uff0cSTOI\u8d8a\u63a5\u8fd1 1\uff0cSI-SDR\u8d8a\u5927\uff0c\u901a\u5e38\u4ee3\u8868\u7ed3\u679c\u8d8a\u597d\u3002<\/strong><\/p>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\u56fe 2\uff1a\u793a\u4f8b\u97f3\u9891\u5b58\u5728 0.04 s \u65f6\u5ef6\u3002\u5bf9\u9f50\u524d\u540e\u7684 STOI \u548c SI-SDR \u5dee\u5f02\u8868\u660e\uff0c\u8bc4\u6d4b\u524d\u5fc5\u987b\u5148\u5904\u7406\u65f6\u95f4\u9519\u4f4d\u3002<\/p>\n\n\n\n
6. \u5c0f\u7ed3<\/h2>\n\n\n\n
PESQ\u3001STOI\u3001SI-SDR \u5e76\u975e\u4e09\u79cd\u5bf9\u540c\u4e00\u4ef6\u4e8b\u7684\u91cd\u590d\u8bc4\u5206\uff1aPESQ \u4fa7\u91cd\u9884\u6d4b\u611f\u77e5\u8d28\u91cf\uff0cSTOI \u4fa7\u91cd\u8bed\u97f3\u5185\u5bb9\u7684\u53ef\u61c2\u5ea6\uff0cSI-SDR \u4fa7\u91cd\u4e0e\u76ee\u6807\u8bed\u97f3\u7684\u5c3a\u5ea6\u4e0d\u53d8\u91cd\u5efa\u8bef\u5dee\u3002\u8bc4\u6d4b\u8bed\u97f3\u589e\u5f3a\u7b97\u6cd5\u65f6\uff0c\u5148\u660e\u786e\u5e94\u7528\u662f\u8ffd\u6c42\u901a\u8bdd\u4f53\u9a8c\u3001\u5185\u5bb9\u53ef\u61c2\u3001\u4fe1\u53f7\u5206\u79bb\uff0c\u8fd8\u662f\u5b83\u4eec\u7684\u7ec4\u5408\uff1b\u518d\u7528\u76f8\u5e94\u6307\u6807\u89c2\u5bdf\u4ee3\u4ef7\uff0c\u5e76\u628a\u5f02\u5e38\u6837\u672c\u5e26\u56de\u8bd5\u542c\u548c\u771f\u5b9e\u94fe\u8def\u9a8c\u8bc1\u3002<\/p>\n\n\n\n
\u53c2\u8003\u8d44\u6599<\/h2>\n\n\n\n
  1. 1. ITU-T P.862, Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs<\/em>. ITU \u9875\u9762\u3002<\/li>
  2. 2. C. H. Taal, R. C. Hendriks, R. Heusdens, J. Jensen, An Algorithm for Intelligibility Prediction of Time\u2013Frequency Weighted Noisy Speech<\/em>, IEEE\/ACM TASLP, 2011. DOI\u3002<\/li>
  3. 3. J. Le Roux, S. Wisdom, H. Erdogan, J. R. Hershey, SDR \u2013 half-baked or well done?<\/em>, ICASSP 2019. \u8bba\u6587\u3002<\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"
    \u6587\u7ae0\uff1ahttps:\/\/mp.weixin.qq.com\/s\/DM1FSdVinKyI_IYJ_e9dbg \u8bed\u97f3 … \u7ee7\u7eed\u9605\u8bfbPESQ\u3001STOI\u3001SI\u2011SDR \u8bed\u97f3\u589e\u5f3a\u8bc4\u4ef7\u6307\u6807<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[4,38,34],"tags":[],"_links":{"self":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31682"}],"collection":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/comments?post=31682"}],"version-history":[{"count":1,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31682\/revisions"}],"predecessor-version":[{"id":31687,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/posts\/31682\/revisions\/31687"}],"wp:attachment":[{"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/media?parent=31682"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/categories?post=31682"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/139.9.1.231\/index.php\/wp-json\/wp\/v2\/tags?post=31682"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}