ACL-OCL / Base_JSON /prefixO /json /O17 /O17-1030.json
Benjamin Aw
Add updated pkl file v3
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{
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"title": "Development of a software-based User-Interface of Speech Enhancement System",
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"abstract": "The topic is to develop a user interface of speech enhancement in this study. This system includes of typical and based-on machine learning algorithm and provides a convenient and user-friendly interface. User can obtain waveform and spectrogram of enhancement speech 323",
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"text": "The topic is to develop a user interface of speech enhancement in this study. This system includes of typical and based-on machine learning algorithm and provides a convenient and user-friendly interface. User can obtain waveform and spectrogram of enhancement speech 323",
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"text": "[2] Scalart, P., et al., \"Speech enhancement based on a priori signal to noise estimation,\" in Proc. ICASSP, pp. 629-632, 1996.",
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"raw_text": "Hsu, C.-C., Cheong, K.-M., Chien, J.-T., and Chi, T.-S, \"Modulation Wiener filter for improving speech intelligibility,\" IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 370-374, 2015",
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\u7684\u6df7\u566a\u8a9e\u97f3-\u4e7e\u6de8\u8a9e\u97f3\u5c0d\uff0c\u8a13\u7df4\u7684\u566a\u97f3\u9078</td></tr><tr><td>\u7528\u8f03\u5927\u7684\u4e8b\u524d\u6a5f\u7387\u6bd4\u4f8b\uff0c\u4ee5\u63d0\u5347\u589e\u5f37\u5f8c\u8a9e\u97f3\u8a0a\u865f\u7684\u8a0a\u96dc\u6bd4\u3002\u6b64\u5916\uff0c\u6839\u64da\u8a9e\u97f3\u8a0a\u865f\u7684\u8a0a \u96a8\u8457\u6a5f\u5668\u5b78\u7fd2(machine learning)\u7684\u9032\u5c55\uff0c\u8a9e\u97f3\u589e\u5f37\u7684\u6548\u80fd\u5df2\u7d93\u6709\u5927\u5e45\u7684\u63d0\u6607\uff0c\u5728\u773e PESQ \u7576\u4f5c\u5ba2\u89c0\u8a55\u91cf\u6307\u6a19\uff0c\u986f\u793a\u65bc\u8868\u4e8c\u548c\u8868\u56db\u3002\u8868\u4e00\u3001\u8868\u4e8c\u70ba\u8eca\u566a\u97f3\u800c\u8868\u4e09\u3001\u8868\u56db\u70ba\u5b30 \u4e00\u3001\u7dd2\u8ad6 \u4f7f\u7528\u52d5\u614b\u8abf\u6574\u4e8b\u524d\u6a5f\u7387\u6bd4\u4f8b\u7684\u6a5f\u5236\uff0c\u5728\u8f03\u9ad8\u8a0a\u96dc\u6bd4\u7684\u689d\u4ef6\u4e0b\uff0cGMAPA \u63a1\u7528\u8f03\u5c0f\u7684\u4e8b \u524d\u6a5f\u7387\u6bd4\u4f8b\uff0c\u4ee5\u9632\u6b62\u904e\u5ea6\u8a9e\u97f3\u5931\u771f\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u5728\u8f03\u4f4e\u8a0a\u96dc\u6bd4\u7684\u689d\u4ef6\u4e0b\uff0cGMAPA \u4f7f , \u4e09\u3001\u8a9e\u97f3\u589e\u5f37\u4f7f\u7528\u8005\u4ecb\u9762 \u8a66\u8a9e\u6599\u8207\u8a13\u7df4\u8a9e\u6599\u76f8\u540c\uff0c\u5176\u7d50\u679c\u4ee5\u8a9e\u97f3\u6ce2\u5f62\u5716\u548c\u8072\u8b5c\u5716(0dB)\u5448\u73fe\u65bc\u8868\u4e00\u8207\u8868\u4e09\uff0c\u7528 (3) \u6de8\u8a9e\u97f3\u4e4b\u9593\u7684\u8f49\u63db\u51fd\u6578\u90fd\u662f\u57fa\u65bc\u6536\u96c6\u5927\u91cf\u7684\u4e7e\u6de8\u53ca\u96dc\u8a0a\u8a9e\u97f3\u8cc7\u6599\u8a13\u7df4\u800c\u5f97\u3002 \u64c7\u70ba\u8eca\u566a\u97f3\u548c\u5b30\u5152\u54ed\u8072\u3002\u672c\u7814\u7a76\u7684\u76ee\u7684\u5728\u65bc\u958b\u767c\u4f7f\u7528\u8005\u4ecb\u9762\uff0c\u56e0\u6b64\u5728\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u7684\u6e2c DDAE</td></tr><tr><td>\u8a9e\u97f3\u589e\u5f37\u6280\u8853\u70ba\u5404\u9805\u8a9e\u97f3\u8a0a\u865f\u6280\u8853\u4e4b\u91cd\u8981\u524d\u8655\u7406\u55ae\u5143\uff0c\u91dd\u5c0d\u6536\u96c6\u5230\u7684\u8072\u97f3\u8a0a\u865f\u6291\u5236 \u74b0\u5883\u566a\u97f3\u4f86\u589e\u5f37\u8a0a\u865f\u7684\u54c1\u8cea\uff0c\u9032\u800c\u63d0\u5347\u5404\u9805\u61c9\u7528\u7684\u6548\u80fd\u3002\u7136\u800c\u4e0d\u540c\u7684\u8a9e\u97f3\u589e\u5f37\u6280\u8853\u6709\u4e0d \u96dc\u6bd4 (SNR)\uff0c\u6211\u5011\u8a2d\u8a08\u4e00\u500b\u6620\u5c04\u51fd\u6578(\u5982\u5716\u4e00)\u4f86\u6c7a\u5b9a\u6700\u4f73\u7684\u4e8b\u524d\u6a5f\u7387\u6bd4\u4f8b\u3002 \u591a\u6a5f\u5668\u5b78\u7fd2\u7406\u8ad6\u4e2d\uff0c\u53c8\u4ee5\u6df1\u5c64\u5b78\u7fd2\u7406\u8ad6(deep learning)\u6700\u70ba\u53d7\u5230\u77da\u76ee\u3002\u76f8\u8f03\u65bc\u50b3\u7d71\u7684\u6a5f\u5668 \u5b78\u7fd2\u7406\u8ad6\uff0c\u6df1\u5c64\u5b78\u7fd2\u7406\u8ad6\u5229\u7528\u591a\u5c64\u5f0f\u7d50\u69cb\u67b6\u69cb\u51fa\u4e00\u500b\u975e\u7dda\u6027\u4e14\u8907\u96dc\u7684\u6a21\u578b\uff0c\u5c0d\u65bc\u591a\u9805\u6a19 \u6b64\u7814\u7a76\u6240\u958b\u767c\u7684\u8a9e\u97f3\u589e\u5f37\u4ecb\u9762\u5305\u542b\u4e0a\u8ff0\u7684\u50b3\u7d71\u65b9\u6cd5\u8207\u6a5f\u5668\u5b78\u7fd2\u964d\u566a\u65b9\u6cd5\uff0c\u4ecb\u9762\u5982\u5716 \u505a\u70ba\u5ba2\u89c0\u8a55\u91cf(\u5982\u8868\u4e8c)\uff0c\u5f9e\u5ba2\u89c0\u8a55\u91cf\u7684\u7d50\u679c\u53ef\u4ee5\u89c0\u5bdf\u51fa\u50b3\u7d71\u65b9\u6cd5\u8207\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u5728 \u4e09\uff0c\u4f7f\u7528\u8005\u53ef\u5728\u5716\u4e09\u2460\u2461\u8f38\u5165\u6b32\u8655\u7406\u7684\u8a9e\u97f3\u8207\u52a0\u6210\u7684\u566a\u97f3\uff0c\u5728\u2462\u8f38\u5165\u5408\u6210\u7684 SNR \u9032 \u5152\u54ed\u8072\u3002\u5f9e\u8868\u4e00\u7684\u7d50\u679c\u53ef\u767c\u73fe\u50b3\u7d71\u8207\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\u90fd\u80fd\u6709\u6548\u6291\u5236\u8eca\u566a\u97f3\u3002\u6211\u5011\u9078\u7528 PESQ \u8868\u56db \u5404\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u5c0d\u5b30\u5152\u54ed\u8072\u8655\u7406\u5f8c\u7684 PESQ</td></tr><tr><td>\u540c\u7684\u61c9\u7528\uff0c\u50b3\u7d71\u7684\u8a9e\u97f3\u589e\u5f37\u6f14\u7b97\u6cd5\u9069\u5408\u8655\u7406\u7a69\u614b\u7684\u74b0\u5883\u566a\u97f3\uff0c\u8b6c\u5982\u8eca\u8072\u3001\u5de5\u5ee0\u8072\u7b49\u80fd\u91cf \u6e96\u7684\u8a0a\u865f\u8655\u7406\u3001\u6a21\u5f0f\u8b58\u5225\u7b49\u6e2c\u8a66\u9805\u76ee\uff0c\u5df2\u6709\u8af8\u591a\u512a\u7570\u7684\u7814\u7a76\u6210\u679c\u8207\u8868\u73fe\uff0c\u751a\u81f3\u662f\u9019\u4e9b\u9818 \u884c\u6df7\u566a\uff0c\u82e5\u4e0d\u6df7\u566a\u53ef\u8f38\u5165'N'\uff0c\u6df7\u566a\u5f8c\u7684\u8a9e\u97f3\u6ce2\u5f62\u5716\u8207\u8072\u8b5c\u5716\u5c07\u986f\u793a\u5728\u2465\u3002\u5728\u8f38\u5165\u8a9e\u97f3 PESQ \u4e0a\u7684\u8868\u73fe\u7121\u986f\u8457\u7684\u5dee\u7570\u3002</td></tr><tr><td>\u8207\u566a\u97f3\u6642\uff0c\u4ecb\u9762\u6703\u986f\u793a\u8f38\u5165\u8a0a\u865f\u7684\u983b\u7387\u8cc7\u8a0a\uff0c\u82e5\u5169\u8005\u7684\u983b\u7387\u4e0d\u540c\u5247\u7121\u6cd5\u9032\u884c\u6df7\u566a\u8655\u7406\u3002</td></tr><tr><td>\u96c6\u4e2d\u5728\u67d0\u4e9b\u983b\u7387\u7684\u566a\u97f3\uff0c\u4f46\u975e\u7a69\u614b\u7684\u566a\u97f3\u5982\u9cf4\u7b1b\u8072\u3001\u4eba\u8072\u3001\u98a8\u5207\u8072\u7b49\u5247\u662f\u4ee5\u6a5f\u5668\u5b78\u7fd2\u6240 \u57df\u6700\u5148\u9032\u7684\u6280\u8853\u3002\u5716\u4e8c\u70ba\u6d41\u7a0b\u5716\uff0c\u57fa\u65bc\u6df1\u5c64\u5b78\u7fd2\u7406\u8ad6\u7684\u6df1\u5c64\u53bb\u566a\u81ea\u7de8\u78bc\u6a21\u578b\u61c9\u7528\u65bc\u8a9e\u97f3 \u8868\u4e00 \u5404\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u5c0d\u8eca\u566a\u97f3\u7684\u8655\u7406\u6210\u6548\u3002</td></tr><tr><td>\u767c\u5c55\u7684\u6f14\u7b97\u6cd5\u8f03\u70ba\u6709\u6548\uff0c\u56e0\u6b64\u91dd\u5c0d\u4e0d\u540c\u74b0\u5883\u6216\u4f7f\u7528\u9700\u6c42\u61c9\u4f7f\u7528\u4e0d\u540c\u7684\u8655\u7406\u65b9\u5f0f\u3002\u672c\u7814\u7a76 \u589e\u5f37\u6280\u8853\u3002 \u964d\u566a\u7684\u65b9\u6cd5\u5206\u70ba\u5169\u90e8\u5206\uff0c\u5728\u2463\u9078\u64c7\u566a\u97f3\u4f30\u6e2c\u6a21\u578b\u4e26\u65bc\u2464\u9078\u64c7\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u3002\u8655\u7406\u5f8c\u7684 \u8868\u4e09\u7684\u566a\u97f3\u70ba\u5b30\u5152\u54ed\u8072\uff0c\u5f9e\u8868\u4e09\u53ef\u770b\u51fa\u50b3\u7d71\u7684\u65b9\u5f0f\u4e26\u7121\u6cd5\u6709\u6548\u7684\u964d\u4f4e\u5b30\u5152\u54ed\u8072\uff0c\u800c</td></tr><tr><td>\u9810\u8a08\u5efa\u7acb\u4f7f\u7528\u8005\u4ecb\u9762\uff0c\u5176\u4f7f\u7528\u8005\u4ecb\u9762\u5305\u542b\u50b3\u7d71\u8207\u6a5f\u5668\u5b78\u7fd2\u7684\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\uff1b\u671f\u671b\u4e00\u5957\u7c21 \u7d50\u679c\u5982\u5716\u4e09\uff0c\u5728\u2466\u8207\u2467\u5206\u5225\u986f\u793a\u6642\u57df\u8a9e\u97f3\u6ce2\u5f62\u5716\u8207\u8072\u8b5c\u8cc7\u8a0a\u3002\u6b64\u4ecb\u9762\u4e5f\u63d0\u4f9b\u4e86 NMF \u8655\u7406\u524d\u8a9e\u97f3 \u6a5f\u5668\u5b78\u7fd2\u7684\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u7684\u964d\u4f4e\u5b30\u5152\u54ed\u8072\u3002\u5b30\u5152\u54ed\u8072\u70ba\u975e\u7a69\u614b\u7684\u566a\u97f3\uff0c\u4e14\u5b30\u5152</td></tr><tr><td>\u55ae\u7684\u4f7f\u7528\u8005\u4ecb\u9762\u53ef\u4ee5\u63d0\u4f9b\u4f7f\u7528\u8005\u4ee5\u8f03\u4fbf\u5229\u7684\u65b9\u5f0f\u9032\u884c\u591a\u7a2e\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u6a21\u64ec\u8207\u6bd4\u8f03\uff0c\u8f14 \u8207 DDAE \u6a21\u578b\u8a13\u7df4\u529f\u80fd\uff0c\u4f7f\u7528\u8005\u53ef\u4ee5\u81ea\u7531\u8a2d\u5b9a\u53c3\u6578\u548c\u9078\u64c7\u8a13\u7df4\u8cc7\u6599\u5373\u53ef\u751f\u6210\u6a21\u578b\u3002 \u54ed\u8072\u7684\u8072\u5b78\u7279\u5fb5\u985e\u4f3c\u4eba\u8072\uff0c\u4f7f\u7528\u50b3\u7d71\u65b9\u6cd5\u8f03\u96e3\u6e96\u78ba\u7684\u9810\u4f30\u4e26\u6d88\u9664\u3002\u5f9e\u5ba2\u89c0\u8a55\u91cf\u4e2d(\u5982\u8868</td></tr><tr><td>\u97cb\u7d0d\u6ffe\u6ce2\u5668 \u52a9\u4f7f\u7528\u8005\u5feb\u901f\u7684\u9078\u64c7\u9069\u5408\u7684\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u3002 \u56db)\u4e5f\u53ef\u5f97\u5230\u76f8\u540c\u7684\u7d50\u8ad6\u3002</td></tr><tr><td>\u8868\u4e09 \u5404\u8a9e\u97f3\u589e\u5f37\u65b9\u5f0f\u5c0d\u5b30\u5152\u54ed\u8072\u7684\u8655\u7406\u6210\u6548\u3002</td></tr><tr><td>\u4e8c\u3001\u7406\u8ad6</td></tr><tr><td>\u50b3\u7d71\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5 KLT \u8655\u7406\u524d\u8a9e\u97f3</td></tr><tr><td>\u5716\u4e00 GMAPA \u6620\u5c04\u51fd\u6578\u793a\u610f\u5716\u3002</td></tr><tr><td>\u50b3\u7d71\u7684\u8a9e\u97f3\u589e\u5f37\u7cfb\u7d71\u4e3b\u8981\u76ee\u7684\u70ba\u6d88\u9664\u80cc\u666f\u566a\u97f3\u53ca\u964d\u4f4e\u589e\u5f37\u5f8c\u8a9e\u97f3\u8a0a\u865f\u7684\u5931\u771f\u3002\u5927\u591a</td></tr><tr><td>\u6a5f\u5668\u5b78\u7fd2\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5</td></tr><tr><td>\u6578\u7684\u8a9e\u97f3\u589e\u5f37\u6280\u8853\u5728\u983b\u57df\u4e0a\u5f37\u5316\u8072\u97f3\u8a0a\u865f\uff0c\u901a\u5e38\u7531\u5169\u500b\u5b50\u7cfb\u7d71\u7d50\u5408\u800c\u6210\uff0c\u5206\u5225\u662f\u96dc\u8a0a\u8207 MMSE \u97cb\u7d0d\u6ffe\u6ce2\u5668</td></tr><tr><td>\u589e\u76ca\u503c\u4f30\u6e2c\u7cfb\u7d71[1]\u3002\u9996\u5148\u85c9\u7531\u77ed\u6642\u5085\u5229\u8449\u8f49\u63db\u5c07\u8a0a\u865f\u9032\u884c\u5206\u983b\u7684\u8655\u7406\uff0c\u4e26\u53d6\u5f97\u5e36\u566a\u8a9e \u50b3\u7d71\u7684\u8a9e\u97f3\u589e\u5f37\u662f\u91dd\u5c0d\u8a0a\u865f\u9032\u884c\u566a\u97f3\u8207\u8a0a\u865f\u7684\u9810\u4f30\uff0c\u4f46\u5c0d\u65bc\u975e\u7a69\u614b\u7684\u566a\u97f3(\u4f8b\u5982:\u8b66</td></tr><tr><td>\u97f3\u983b\u8b5c\u4e0a\u7684\u632f\u5e45\u8207\u76f8\u4f4d\u3002\u4fdd\u7559\u76f8\u4f4d\u6210\u4efd\uff0c\u96dc\u8a0a\u8207\u589e\u76ca\u503c\u4f30\u6e2c\u7cfb\u7d71\u5f37\u5316\u632f\u5e45\u6210\u4efd\uff0c\u6700\u5f8c\u7d93 \u7b1b\u8072\u3001\u4eba\u8072\u7b49)\u964d\u566a\u6548\u679c\u8f03\u5dee\u3002\u8fd1\u5e7e\u5e74\u5feb\u901f\u767c\u5c55\u7684\u6a5f\u5668\u5b78\u7fd2\u4e2d\uff0cDDAE (deep denoising</td></tr><tr><td>\u53cd\u77ed\u6642\u5085\u5229\u8449\u8f49\u63db\u5c07\u5176\u91cd\u7d44\u70ba\u6642\u57df\u4e0a\u8f03\u70ba\u4e7e\u6de8\u7684\u8072\u97f3\u8a0a\u865f\u3002\u50b3\u7d71\u7684\u65b9\u6cd5\u4e2d\uff0c\u8f03\u5e38\u898b\u7684\u8a9e auto-encoder) [9][10] \u548c NMF (non-negative matrix factorization) [11-13]\u5169\u7a2e\u6280\u8853\u4e5f\u5e38\u88ab GMAPA KLT</td></tr><tr><td>\u97f3\u589e\u5f37\u65b9\u5f0f\u5305\u4e86\u97cb\u7d0d\u6ffe\u6ce2\u5668[2][3]\u3001\u983b\u8b5c\u522a\u6e1b\u6cd5[4]\u3001\u6700\u5c0f\u5316\u5747\u65b9\u8aa4\u5dee\u4f30\u6e2c [5]\u548c\u6700\u5927\u4e8b \u61c9\u7528\u65bc\u8a0a\u865f\u589e\u5f37\u7684\u9818\u57df\u4e2d\u3002\u975e\u8ca0\u77e9\u9663\u5206\u89e3\u6280\u8853\u85c9\u7531\u57fa\u5e95\u77e9\u9663 W \u8207\u7de8\u78bc\u77e9\u9663 H \u76f8\u4e58\u4ee5\u8fd1 \u5716\u4e8c \u61c9\u7528\u6df1\u5c64\u53bb\u566a\u81ea\u7de8\u78bc\u6a21\u578b\u65bc\u8a9e\u97f3\u589e\u5f37\u3002</td></tr><tr><td>\u5f8c\u983b\u8b5c\u632f\u5e45\u9810\u4f30\u5668\u7684\u8a9e\u97f3\u589e\u5f37\u6f14\u7b97\u6cd5(Generalized Maximum A Posteriori spectral Amplitude, GMAPA)[6]\u7b49\u3002 \u4f3c\u8f38\u5165\u983b\u8b5c V\uff0c\u5982\u5f0f(1)\uff1a V\u2248WH, \u89e3\u6642\u57df\u8a0a\u865f\u81f3\u5176\u983b\u8b5c\u6210\u4efd\u4e26\u4fdd\u7559\u76f8\u4f4d\u8cc7\u8a0a\u3002\u632f\u5e45\u8cc7\u8a0a\u8f38\u5165\u6df1\u5c64\u53bb\u566a\u81ea\u7de8\u78bc\u6a21\u578b\u964d\u566a\uff0c\u7372 (1) \u5982\u5716\u4e8c\u6240\u793a\uff0c\u985e\u4f3c\u65bc\u50b3\u7d71\u8a9e\u97f3\u589e\u5f37\u6280\u8853\uff0c\u5e36\u566a\u8a9e\u97f3\u8a0a\u865f\u9996\u5148\u7d93\u7531\u77ed\u6642\u5085\u5229\u8449\u8f49\u63db\u62c6 \u5716\u4e09 \u4f7f\u7528\u8005\u4ecb\u9762\u793a\u610f\u5716\u3002 NMF MMSE</td></tr><tr><td>\u97cb\u7d0d\u6ffe\u6ce2\u5668\u3001\u983b\u8b5c\u522a\u6e1b\u6cd5\u7b49\u5178\u578b\u7684\u8a9e\u97f3\u589e\u5f37\u65b9\u6cd5\u5df2\u5ee3\u88ab\u61c9\u7528\uff0c\u904e\u53bb\u6709\u8a31\u591a\u7814\u7a76\u6539 \u5f97\u8f03\u70ba\u4e7e\u6de8\u7684\u632f\u5e45\u983b\u8b5c\uff0c\u6700\u5f8c\u7531\u53cd\u77ed\u6642\u5085\u5229\u8449\u8f49\u63db\u5c07\u8f03\u70ba\u4e7e\u6de8\u7684\u632f\u5e45\u983b\u8b5c\u8207\u76f8\u4f4d\u91cd\u5efa\u70ba</td></tr></table>",
"type_str": "table"
}
}
}
}