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{
"paper_id": "O13-1017",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T08:03:46.829548Z"
},
"title": "",
"authors": [
{
"first": "Chang-Hong",
"middle": [],
"last": "\u6797\u6636\u5b8f",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Lin",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "Ernestasia",
"middle": [],
"last": "\u897f\u96c5\u6069",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Siahaan",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "Bo-Wei",
"middle": [],
"last": "\u9673\u4f2f\u7152",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "Cheng Kung University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Chen",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "Cheng Kung University",
"location": {}
},
"email": ""
},
{
"first": "Hsiang-Lung",
"middle": [],
"last": "\u838a\u7965\u74cf",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Chuang",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "Wen-Chi",
"middle": [],
"last": "\u8b1d\u73f3\u68cb",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Hsieh",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "Jia-Ching",
"middle": [],
"last": "\u738b\u5bb6\u6176",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Wang",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Central University",
"location": {}
},
"email": ""
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "",
"pdf_parse": {
"paper_id": "O13-1017",
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"abstract": [],
"body_text": [
{
"text": "EQUATION",
"cite_spans": [],
"ref_spans": [],
"eq_spans": [
{
"start": 0,
"end": 8,
"text": "EQUATION",
"ref_id": "EQREF",
"raw_str": "\u2212 = \u2212 = N k L l k qk q l t s l h t x 1 1 0 ) ( ) ( ) ( (1) \u5176\u4e2d x q \u662f\u611f\u6e2c\u5668 q \u5c0d\u61c9\u7684\u6df7\u5408\u8a0a\u865f\uff0cs k \u70ba\u6e90\u8a0a\u865f k\uff0ch qk \u5247\u662f\u8a9e\u8005 k \u5230\u9ea5\u514b\u98a8 q \u7684\u8108\u885d\u97ff \u61c9\uff0c\u4e26\u4e14\u4ee4\u9019\u500b\u6ffe\u6ce2\u5668 (Filter) \u7684\u578b\u5f0f\u70ba\u4e00\u500b L \u968e (L-Tap) \u7684\u6709\u9650\u8108\u885d\u97ff\u61c9 (Finite Impulse Response, FIR)\u6ffe\u6ce2\u5668\u3002\u7531\u65bc\u8a9e\u97f3\u5728\u6642\u9593\u57df\u4e0a\u7684\u7a00\u758f\u7279\u6027\u4e26\u4e0d\u660e\u986f\uff0c\u6240\u4ee5\u6211\u5011\u63a1\u7528\u77ed\u6642 \u5085\u5229\u8449\u8f49\u63db(Short Time Fourier Transform, STFT) \uff0c\u4ee5\u53d6\u6a23\u983b\u7387 f s \u5c07\u6642\u9593\u57df\u4e0a\u7684\u6df7\u5408\u8a0a \u865f x q (t)\u8f49\u63db\u6210\u983b\u7387\u57df\u4e0a\u7684\u6642\u9593\u5e8f\u5217 x q (f,\u03c4)\uff0c\u5176\u4e2d f \u662f\u67d0\u500b\u983b\u5e36\uff0c\u03c4 \u70ba\u77ed\u6642\u5085\u5229\u8449\u8f49\u63db\u97f3\u7a97 \u7684\u6307\u6a19(Frame Index) \u3002\u5728\u6642\u983b\u57df\u4e0a\u57f7\u884c\u76f2\u8a0a\u865f\u6e90\u5206\u96e2\u7684\u53e6\u4e00\u500b\u597d\u8655\u662f\u6211\u5011\u53ef\u4ee5\u5c07\u65cb\u7a4d \u6df7\u5408\u904e\u7a0b\u55ae\u7d14\u8996\u70ba\u5404\u500b\u983b\u5e36\u7684\u77ac\u6642\u6df7\u5408\u578b\u5f0f\uff0c\u5373\u5982\u540c\u4ee5\u4e0b\u4e4b\u6558\u8ff0\u3002 N M N M N k k k C f H C f S C f X f S f H f S f H f X \u00d7 \u00d7 \u00d7 = \u2208 \u2208 \u2208 = = \u2211 ) ( , ) , ( , ) , ( where , ) , ( ) ( ) , ( ) ( ) , ( 1 1 1 \u03c4 \u03c4 \u03c4 \u03c4 \u03c4 (2) \u5176\u4e2d X(f,\u03c4)\u548c S(f,\u03c4)\u5206\u5225\u4ee3\u8868\u6df7\u5408\u8a0a\u865f\u4ee5\u53ca\u4f86\u6e90\u8a0a\u865f\u5728\u6642\u983b\u57df\u4e0a\u7684\u6210\u4efd\u3002H(f)\u5247\u662f\u67d0\u4e00\u500b \u983b\u5e36\u7684\u6df7\u5408\u77e9\u9663\u3002\u7136\u800c\uff0c\u5047\u8a2d\u5728\u4e00\u500b\u6642\u983b\u9ede\u4e0a\uff0c\u53ea\u6709\u4e00\u500b\u4f86\u6e90\u8a0a\u865f\u5728\u6d3b\u52d5\uff0c\u6211\u5011\u4ee4 H k (f) \u662f H(f)\u7684\u7b2c k \u500b\u884c\u5411\u91cf\uff0c\u5247\u53ef\u5c07\u5f0f\u5b50(2)\u7c21\u5316\u70ba\uff1a { } N k f S f H f X k k , , 1 , ) , ( ) ( ) , ( L \u2208 = \u03c4 \u03c4 (3) \u6240\u8b02\u7684\u6ce2\u675f\u5f62\u6210(Beamforming) \uff0c\u5373\u70ba\u4e00\u7a2e\u7a7a\u9593\u4e0a\u4e4b\u6ffe\u6ce2\u5668\uff0c\u5b83\u5229\u7528\u8a0a\u865f\u7684\u7a7a\u9593\u95dc \u4fc2\uff0c\u5e0c\u671b\u80fd\u5920\u5c0d\u4e0d\u540c\u65b9\u5411\u7684\u8a0a\u865f\u505a\u51fa\u4e0d\u540c\u7684\u589e\u76ca\uff0c\u4ee5\u9054\u5230\u7a7a\u9593\u6ffe\u6ce2\u7684\u6548\u679c\uff0c\u85c9\u4ee5\u5206\u96e2\u7a7a \u9593\u4e2d\u4e0d\u540c\u65b9\u5411\u8072\u6e90\u7684\u8a0a\u865f\u3002\u4f9d\u6ce2\u675f\u5f62\u6210\u5b9a\u7406\uff0c\u6211\u5011\u9760\u8457\u9ea5\u514b\u98a8\u9663\u5217\u7684\u4f86\u6e90\u8a0a\u865f\u65b9\u5411\u548c\u6642 \u9593\u5ef6\u9072\u53bb\u8fd1\u4f3c\u6df7\u5408\u904e\u7a0b\u3002\u56e0\u6b64\u7576\u983b\u7387\u70ba f \u6642\uff0c\u8a9e\u8005 k \u5230\u9ea5\u514b\u98a8 q \u7684\u6df7\u5408\u4fc2\u6578\u53ef\u8868\u793a\u70ba\uff1a k q d fc j qk qk e g f h \u03b8 \u03c0 cos 2 1 ) ( \u2212 = (4) \u5176\u4e2d g qk \u70ba\u8a0a\u865f k \u81f3\u9ea5\u514b\u98a8 q \u7684\u589e\u76ca\u503c\uff0cd q \u8868\u611f\u6e2c\u5668 q \u8207\u9ea5\u514b\u98a8\u9663\u5217\u4e2d\u5fc3\u4e4b\u9593\u7684\u8ddd\u96e2\uff0c\u03b8 k \u662f\u6e90\u8a0a\u865f k \u5c0d\u61c9\u5230\u9ea5\u514b\u98a8\u9663\u5217\u7684\u89d2\u5ea6\u3002\u6211\u5011\u53ef\u5229\u7528\u5f0f\u5b50(4)\uff0c\u5c07\u6df7\u5408\u77e9\u9663\u8868\u73fe\u6210\u4e0b\u9762\u7684 \u5f62\u5f0f\uff0c\u5f80\u5f8c\u6709\u95dc\u6df7\u5408\u77e9\u9663\u7684\u63a8\u5c0e\u904e\u7a0b\uff0c\u591a\u6578\u90fd\u662f\u5efa\u7acb\u5728\u9019\u500b\u9810\u8a2d\u5f62\u5f0f\u4e4b\u4e0a\u3002 \u23a5 \u23a5 \u23a5 \u23a6 \u23a4 \u23a2 \u23a2 \u23a2 \u23a3 \u23a1 = ) ( ) ( ) ( ) ( ) ( 1 1 11 f h f h f h f h f H MN M N L M O M L (5) (\u4e8c) \u3001\u7279\u5fb5\u503c\u9078\u53d6 \u6211\u5011\u5b9a\u7fa9\u4e86\u5169\u500b\u6df7\u5408\u8a0a\u865f\u7684\u7279\u5fb5\u53c3\u6578(Level-Ratio \u548c Phase-Difference)[11]\u3002\u5229\u7528 \u89c0\u5bdf\u8cc7\u6599\u7684\u4e8c\u968e\u7bc4\u6578\u5c0d\u6df7\u5408\u8a0a\u865f\u7684\u7d55\u5c0d\u503c\u983b\u8b5c(Magnitude Spectrum)\u505a\u6b63\u898f\u5316\uff0c\u6211\u5011 \u7a31\u4e4b\u70ba Level-Ratio\uff0c\u9019\u908a\u7528 ) , ( \u03c4 \u03c8 f L q ( \u8868\u793a\uff1b\u81f3\u65bc Phase-Difference \u88ab\u5b9a\u7fa9\u6210\u8207\u4e00\u500b\u6307\u5b9a\u7684 \u6df7\u5408\u8a0a\u865f\u4e4b\u9593\u7684\u76f8\u4f4d\u89d2\u5ea6\u5dee\uff0c\u4ee5 ) ,\u03c4 \u03c8 f P q \u4f86\u8868\u793a\u3002\u5b83\u5011\u7684\u8868\u793a\u5f0f\u5206\u5225\u986f\u793a\u5982\u4e0b\uff1a 2 ) , ( ) , ( ) , ( \u03c4 \u03c4 \u03c4 \u03c8 f X f x f q L q = (6) [ ] [ ] ) , ( ) , ( ) , ( 1 \u03c4 \u03c6 \u03c4 \u03c6 \u03c4 \u03c8 f x f x f q P q \u2212 = (7) \u5176\u4e2d\u03c6\u70ba\u76f8\u4f4d\u7684\u904b\u7b97\u5b50\u3002\u7136\u5f8c\u5229\u7528\u4e00\u500b\u8907\u6578\u8868\u793a\u5f0f(Complex Representation)\u4f86\u8868\u73fe\u9019 \u5169\u500b\u7279\u5fb5\u53c3\u6578\u3002 )] , ( exp[ ) , ( ) , ( \u03c4 \u03c8 \u03c4 \u03c8 \u03c4 \u03c8 f j f f P q L q q \u00d7 = (8) \u65bc \u662f \u6211 \u5011 \u5f97 \u5230 \u4e86 \u4e00 \u500b \u65b0 \u7684 \u6a23 \u672c \u578b \u614b (Sample Form) \uff0c \u7531 M \u500b Level-Ratio \u548c Phase-Difference \u7d44\u6210\u7684\u8907\u6578\u503c\u6240\u69cb\u6210\u3002\u5c07\u539f\u5148\u7684\u89c0\u5bdf\u8cc7\u6599\u8f49\u63db\u6210\u9019\u6a23\u7684\u8cc7\u6599\u578b\u5f0f\u5f8c\uff0c \u6211\u5011\u5373\u53ef\u4f7f\u7528\u9019\u4e9b\u65b0\u5efa\u7acb\u7684\u6a23\u672c\uff0c\u505a\u5f8c\u7e8c\u7684\u8655\u7406\u548c\u8a0a\u865f\u5206\u6790\uff0c\u5305\u62ec\u4f30\u8a08\u6e90\u8a0a\u865f\u500b\u6578\u4ee5\u53ca \u6df7\u5408\u77e9\u9663\u3002\u4ee4 T \u70ba\u5411\u91cf\u7684\u8f49\u7f6e\uff0c\u5247\u6a23\u672c\u578b\u614b\u8868\u793a\u5982\u4e0b\uff1a [ ] T M f f f ) , ( ) , ( ) , ( 1 \u03c4 \u03c8 \u03c4 \u03c8 \u03c4 L = \u03a8 (9) (\u4e09) \u3001\u6df7\u5408\u77e9\u9663\u4f30\u6e2c \u5229\u7528\u8457\u540d\u4e14\u61c9\u7528\u5ee3\u6cdb\u7684\u5206\u7fa4\u65b9\u6cd5 K-Means \u6f14\u7b97\u6cd5\uff0c\u5c07\u6a23\u672c\u578b\u614b\u5206\u5272\u5230 N \u500b\u7fa4\u805a C i ,\u2026,C N \u4e2d\uff0c\u4e26\u4e14\u5229\u7528\u4e0b\u9762\u7684\u5f0f\u5b50\u7372\u5f97\u6df7\u5408\u5411\u91cf\uff1a { } N i C h i C i i , , 1 , 1 L \u2208 \u03a8 = \u2211 \u2208 \u03a8 (10) \u5176\u4e2d|C i |\u4ee3\u8868\u7b2c i \u500b\u7fa4\u805a\u64c1\u6709\u7684\u6a23\u672c\u6578\u3002\u7136\u800c\u6bcf\u500b\u6df7\u5408\u5411\u91cf\u90fd\u6703\u5c0d\u61c9\u5230\u4e00\u500b\u4f86\u6e90\u8a0a\u865f\u3002 \u56e0\u70ba\u6211\u5011\u662f\u6839\u64da\u6bcf\u500b\u983b\u5e36\u4e0a\u7684\u6642\u9593\u5e8f\u5217\u53bb\u4f30\u6e2c\u6df7\u5408\u77e9\u9663\uff0c\u6240\u4ee5\u5404\u500b\u983b\u5e36\u57f7\u884c\u904e K-Means \u6f14\u7b97\u6cd5\u5f8c\u90fd\u6703\u56de\u50b3 N \u500b\u7fa4\u805a\uff0c\u4e26\u6c42\u51fa\u4ee3\u8868\u7684 h i \u3002\u6700\u5f8c\uff0c\u5982\u4f55\u78ba\u8a8d h i \u5728\u77e9\u9663\u4e2d\u7684\u4f4d\u7f6e\u4e5f \u662f\u4e00\u500b\u5f88\u91cd\u8981\u7684\u554f\u984c\u3002 \u6839\u64da\u5f0f\u5b50(4)\uff0c\u53ef\u4ee5\u5f97\u77e5 i s r d d fc j si ri i i e g g s h r h \u03b8 \u03c0 cos ) ( 2 1 ) ( ) ( \u2212 \u2212 = (11) \u6240\u4ee5\u7d93\u63a8\u5c0e\u5f8c\uff0cDOA \u53ef\u4ee5\u7531\u4e0b\u5f0f\u7372\u5f97 ) ( 2 ) ( ) ( cos 1 1 s r i i i d d fc s h r h \u2212 \u239f \u23a0 \u239e \u239c \u239d \u239b = \u2212 \u2212 \u03c0 \u03c6 \u03b8 (12) \u5176\u4e2d r\u3001s \u662f\u9ea5\u514b\u98a8\u9663\u5217\u4e2d\u5169\u652f\u8ddd\u96e2\u6700\u8fd1\u7684\uff0c\u5b83\u5011\u5728\u6df7\u5408\u5411\u91cf h i \u4e2d\u6240\u5c0d\u61c9\u5230\u7684\u6307\u6a19\uff1bd \u8868\u793a r\u3001s \u5169\u652f\u9ea5\u514b\u98a8\u4e4b\u9593\u7684\u8ddd\u96e2\u3002\u56e0\u70ba\u6211\u5011\u5c0d\u6240\u6709 h i (i=1,\u2026,N)\u90fd\u5075\u6e2c DOA\uff0c\u6240\u4ee5\u5171\u5f97 \u5230\u4e86 N \u500b\u89d2\u5ea6\u503c\u3002\u6700\u5f8c\u6839\u64da\u9019\u500b\u7d50\u679c\u78ba\u5b9a h i \u5728\u6df7\u5408\u77e9\u9663\u4e2d\u6240\u5c0d\u61c9\u7684\u884c\u7d22\u5f15\u3002 \u5047\u8a2d\u6df7\u5408\u8a0a\u865f\u7684\u67d0\u500b\u6642\u983b\u9ede X(f,\u03c4)\uff0c\u53ea\u6709\u6e90\u8a0a\u865f k \u70ba\u975e\u96f6\u7684\u503c\u3002\u900f\u904e\u5f0f\u5b50(3)\u548c\u5f0f\u5b50 (4)\uff0c\u53ef\u5c07 X(f,\u03c4)\u53ef\u8868\u73fe\u70ba\uff1a [ ] [ ] [ ] \u23a5 \u23a5 \u23a5 \u23a5 \u23a6 \u23a4 \u23a2 \u23a2 \u23a2 \u23a2 \u23a3 \u23a1 \u00d7 \u00d7 = \u00d7 \u23a5 \u23a5 \u23a5 \u23a5 \u23a6 \u23a4 \u23a2 \u23a2 \u23a2 \u23a2 \u23a3 \u23a1 = + + \u2212 \u2212 \u2212 \u2212 ) ) , ( cos 2 ( ) , ( ) ) , ( cos 2 ( ) ,",
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"text": "EQUATION",
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"raw_str": "\u7279\u5fb5\u53c3\u6578\uff0c ) , ( \u03c4 \u03c8 f L q \u548c ) , ( \u03c4 \u03c8 f P q \u5206\u5225\u70ba\uff1a [ ] ) ( ) , ( 1 T Mk k qk L q g g norm g f L = \u03c4 \u03c8",
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"text": "\u5176\u4e2d\uff0c\u7b2c\u4e00\u9805\u70ba\u4e00\u5be6\u6578\u503c\u3002\u85c9\u7531\u4e0a\u5f0f\uff0c\u6211\u5011\u53ef\u4ee5\u8aaa\uff0c\u7576\u8a9e\u97f3\u5177\u6709\u6975\u5ea6\u7a00\u758f\u7684\u6027\u8cea\u6642\uff0c\u53ea \u6703\u56e0\u70ba\u4e3b\u5c0e\u7684\u6e90\u8a0a\u865f\u4e0d\u540c\u9020\u6210 \u03b8 k \u7684\u6539\u8b8a\u800c\u7522\u751f N \u7a2e\u578b\u5f0f\u7684 \u03c8(f,\u03c4)\u3002\u6240\u4ee5\u7576\u7d50\u675f\u5206\u7fa4\u6f14\u7b97 \u6cd5\u4f30\u8a08\u6df7\u5408\u77e9\u9663\u4e4b\u884c\u5411\u91cf\u7684\u7a0b\u5e8f\uff0c\u4e26\u4e14\u89e3\u6c7a\u4e86\u6392\u5217\u554f\u984c\u5f8c\uff0c\u5728\u6700\u7406\u60f3\u7684\u60c5\u6cc1\u4e0b\uff0c\u4e5f\u5c31\u662f \u7576\u6975\u5ea6\u7a00\u758f\u7684\u689d\u4ef6\u6210\u7acb\u6642\uff0c\u6df7\u5408\u77e9\u9663\u6703\u9577\u6210\uff1a \u23a5 \u23a5 \u23a5 \u23a5 \u23a5 \u23a6 \u23a4 \u23a2 \u23a2 \u23a2 \u23a2 \u23a2 \u23a3 \u23a1 \u2212 \u2212 \u2212 \u2212 \u2212 \u2212 \u2212 \u2212 N M M N d d fc j L MN d d fc j L M d d fc j L N d d fc j L L N",
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{
"text": "EQUATION",
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"raw_str": "1 1 1 1 1 1 2 1 1 1 2 1 L M O M L L (17) \u76f2\u8a0a\u865f\u6e90\u5206\u96e2\u5728\u6b20\u5b9a\u7684\u689d\u4ef6\u4e0b\uff0c\u6839\u64da\u5f0f\u5b50(2)\uff0c\u6e90\u8a0a\u865f S \u53ef\u4ee5\u6709\u7121\u9650\u591a\u500b\u89e3\uff0c\u6240\u4ee5 \u6211\u5011\u5229\u7528\u6700\u5c0f\u5316l1 \u7684\u7bc4\u6578\u4ee5\u53ca X=HS \u4f5c\u70ba\u9650\u5236\u5f0f\uff0c\u6b64\u6700\u4f73\u5316\u554f\u984c\u7684\u89e3\u5373\u70ba\u6240\u6c42\u3002\u5982\u4e0b\u5217 \u5f0f\u5b50\u6240\u793a\uff1a X HS t s N i S i i S = = \u2211 . . , ,",
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{
"text": "( x w\u22c5 ) + b = 0 \u6700\u5927\u5316margin 2/|| w || 2 \uff0c\u5176\u4e2d w \u2208 d \u4e14 b \u2208 \u3002\u6839\u64da\u6c7a\u7b56\u51fd\u6578(Decision Function)\u8cc7\u6599\u9ede x \u88ab\u6a19\u8a18\u6210y \u2208 {1, -1} ) ) (( sign ) ( b x w x f + \u22c5 = (19) \u6211\u5011\u53ef\u4ee5\u5728 SVM \u4e2d\u4f7f\u7528\u6838\u65b9\u6cd5(Kernel Methods) \u3002\u9996\u5148\uff0c\u5c07\u5206\u96e2\u8d85\u5e73\u9762\u51fd\u6578\u8868\u793a \u6210\u8cc7\u6599\u9ede x \u7684\u5167\u7a4d\uff0c\u5247\u6c7a\u7b56\u51fd\u6578\u53ef\u4ee5\u5beb\u6210\u4e0b\u9762\u9019\u500b\u5f0f\u5b50\uff1a ) ( sign ) ( 1 b x x x f m i i i + \u22c5 = \u2211 = \u03b1 (20) \u5176\u4e2d\u03b1 \u70ba\u62c9\u666e\u62c9\u65af\u4e58\u6578(Lagrange Multiplier) \uff0ci \u70ba\u5411\u91cf\u7684\u6578\u91cf\u3002\u6b64\u5411\u91cf\u4e58\u7a4d\u53ef\u88ab\u6838\u51fd \u6578(Kernel Function) \u6240\u53d6\u4ee3\uff0c ) , ( i x x k ) ) , ( ( ) ( 1 b x x k x f m i i i + = \u2211 = \u03b1 sign (21) \u85c9\u7531\u4f7f\u7528Mercer's\u7406\u8ad6\uff0c\u6211\u5011\u53ef\u4ee5\u5f15\u5165\u4e00\u500b\u6620\u5c04\u51fd\u6578(Mapping Function)\u03d5( x ) \u4f7f \u5f97 ( k \uff0c ) ( ) ( ) , i j i j x x x x \u03d5 \u03d5 = \u3002\u85c9\u7531\u5c07\u539f\u59cb\u8f38\u5165\u7a7a\u9593 d \u5f71\u5230\u5176\u4ed6\u7a7a\u9593\uff0c\u6b64\u65b9\u6cd5\u63d0\u4f9b\u4e86\u8655\u7406 \u975e\u7dda\u6027\u8cc7\u6599\u7684\u80fd\u529b\u3002 \u6295 (\u4e8c) \u3001\u8072\u97f3\u7279\u5fb5\u503c\u64f7\u53d6 1\u3001\u6885\u723e\u5012\u983b\u8b5c\u4fc2\u6578 \u70ba \u4e86 \u5f9e \u8072 \u97f3 \u8a0a \u865f \u4e2d \u64f7 \u53d6 \u6885 \u723e \u5012 \u983b \u8b5c \u4fc2 \u6578 [",
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"text": "Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing(ROCLING 2013)",
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"ref_entries": {
"FIGREF0": {
"num": null,
"type_str": "figure",
"text": "\u56e0\u70ba\u672c\u8ad6\u6587\u8981\u5c0d\u7531 Level-Ratio \u4ee5\u53ca Phase-Difference \u6240\u7d44\u6210\u7684\u6a23\u672c\u4f5c\u7fa4\u805a\u5206\u5272\u3002\u6240 \u4ee5\uff0c\u5f97\u51fa\u4e86\u6df7\u5408\u8a0a\u865f\u6a23\u672c\u5728\u6975\u5ea6\u7a00\u758f\u7684\u60c5\u5f62\u4e0b\u8868\u73fe\u7684\u578b\u5f0f\u5f8c\uff0c\u6211\u5011\u5c07\u5f0f\u5b50(13)\u4ee3\u5165\u5f0f\u5b50 (6)\u548c\u5f0f\u5b50(7)\uff0c\u770b\u770b\u82e5\u5229\u7528\u9019\u7a2e\u5f62\u614b\u7684\u6a23\u672c\u53bb\u5b9a\u7fa9 Level-Ratio \u548c Phase-Difference \u9019\u5169\u7a2e",
"uris": null
},
"TABREF3": {
"type_str": "table",
"html": null,
"text": "Separated Sound 17.5794 db 17.7916 db 18.7986 db \u8868\u4e00\u5217\u51fa\u4e86\u4e09\u7a2e\u4e0d\u540c\u7684 DOA \u5dee\u7570\u503c(40\u00b0, 80\u00b0, \u548c 160\u00b0)\u7684\u5e73\u5747 SIR\u3002\u5be6\u9a57\u7d50\u679c\u986f \u793a\u8d8a\u5927\u7684 DOA \u5dee\u7570\u901a\u5e38\u5c0e\u81f4\u8d8a\u9ad8\u7684 SIR\uff0c\u9032\u800c\u4fdd\u8b49\u4e86\u8f03\u4f73\u7684\u5206\u96e2\u8a0a\u865f\u3002\u9019\u6a23\u7684\u6e2c\u8a66\u652f \u6301\u4e86\u7cfb\u7d71\u9078\u64c7\u5177\u6709\u6700\u5927 DOA \u503c\u7684\u611f\u6e2c\u7bc0\u9ede\u4f86\u9032\u884c\u8a0a\u865f\u5206\u96e2\u3002 \u5728\u9a57\u8b49\u7cfb\u7d71\u65b9\u9762\uff0c\u6211\u5011\u6bd4\u8f03\u4e86\u6df7\u5408\u8a0a\u865f\u548c\u5206\u96e2\u8a0a\u865f\u7684\u9a57\u8b49\u8868\u73fe\u3002\u5728\u5206\u96e2\u8a0a\u865f\u65b9\u9762\uff0c \u7cfb\u7d71\u6703\u6aa2\u8996\u5728\u5169\u500b\u8a0a\u865f\u4e2d\uff0c\u662f\u5426\u6709\u5f9e\u5c6c\u65bc\u76ee\u6a19\u985e\u5225\u7684\u5206\u96e2\u7a0b\u5e8f\u6240\u7522\u751f\u7684\u8a0a\u865f\u3002\u82e5\u9019\u5169\u500b \u8a0a\u865f\u7686\u4e0d\u70ba\u76ee\u6a19\u8072\u97f3\uff0c\u5247\u5c07\u6b64\u8072\u97f3\u8a0a\u865f\u6b78\u5c6c\u5728\u975e\u76ee\u6a19\u985e\u5225\u3002\u5c0d\u6bcf\u500b\u97f3\u6a94\uff0c\u6211\u5011\u5f9e\u6bcf\u500b\u8072 \u97f3\u8a0a\u865f\u7684\u97f3\u6846\u53d6\u51fa 13 \u7dad MFCCs\uff0c\u4ee5\u53ca\u6240\u6709\u97f3\u6846\u7684 MFCCs \u7684\u5e73\u5747\u503c\u53ca\u6a19\u6e96\u5dee\u4f86\u4f5c\u70ba\u8072 \u97f3\u7279\u5fb5\u3002\u540c\u6642\uff0c\u6211\u5011\u5f9e\u6bcf\u500b\u8a0a\u865f\u7684 3 \u968e\u5c0f\u6ce2\u5305\u5206\u89e3\u6a39 (Three-Level Wavelet Packet Decomposition Tree) \u4e2d\u53d6\u51fa 16 \u500b\u8cbb\u820d\u723e\u5206\u6578\uff0c\u5f97\u5230\u7e3d\u6578\u70ba 42 \u7dad\u7684\u7279\u5fb5\u5411\u91cf\u3002\u6211\u5011\u4f7f\u7528 F-Score [17]\u91cf\u6e2c\u65b9\u6cd5\u4f86\u8a55\u6e2c\u6211\u5011\u7684\u7cfb\u7d71\u3002 \u8868\u4e8c\u3001\u57fa\u6e96\u7cfb\u7d71\u548c\u63d0\u51fa\u7684\u7cfb\u7d71\u5728\u9a57\u8b49\u8868\u73fe\u7684\u6bd4\u8f03",
"num": null,
"content": "<table><tr><td colspan=\"14\">\u8868\u4e00\u3001\u4e0d\u540c DOA \u5dee\u7570\u503c\u7684\u5e73\u5747 SIR</td><td/><td/></tr><tr><td colspan=\"4\">DOA Difference</td><td/><td/><td/><td/><td colspan=\"7\">40\u00b080\u00b0160\u00b0</td><td/></tr><tr><td colspan=\"16\">14] \uff0c \u6211 \u5011 \u5c07 \u8072 \u97f3 \u8a0a \u865f \u5207 \u6210 \u77ed \u6642 \u7a97 (Short-Time Window)\u4e26\u5c0d\u6bcf\u500b\u77ed\u6642\u7a97\u9032\u884c\u5feb\u901f\u5085\u7acb\u8449\u8f49\u63db(Fast Fourier Transform) \u3002 \u7136\u5f8c\u5c07\u983b\u8b5c\u6240\u5305\u542b\u7684\u80fd\u91cf\u6620\u5c04\u5230\u4f7f\u7528\u4e09\u89d2\u6ffe\u6ce2\u5668\u983b\u5e36\u7684\u6885\u723e\u5c3a\u5ea6\u4e0a\u3002\u5728\u6bcf\u500b\u6885\u723e\u6ffe\u6ce2\u983b \u5e36\u4e0a\uff0c\u6211\u5011\u8a08\u7b97\u5c0d\u6578\u80fd\u91cf\uff0c\u6700\u5f8c\u7528\u96e2\u6563\u9918\u5f26\u8f49\u63db(Discrete Cosine Transform)\u4f86\u5f97\u5230 MFCCs\u3002 2\u3001\u8cbb\u820d\u723e\u5206\u6578\u7a7a\u9593 \u8cbb\u820d\u723e\u5206\u6578\u4f7f\u7528\u4e00\u7d44\u53c3\u6578\u751f\u6210\u6a21\u578b\uff0c\u6b64\u6a21\u578b\u5c07\u4e00\u4e32\u5e8f\u5217\u6620\u5c04\u5230\u56fa\u5b9a\u7dad\u5ea6\u7a7a\u9593\u7684\u55ae\u4e00 \u9ede\u4e0a\uff0c\u4f8b\u5982\uff1a\u5206\u6578\u7a7a\u9593 [15]\u3002\u85c9\u7531\u751f\u6210\u6a21\u578b\u7684\u4f3c\u7136\u503c(Likelihood)\u5206\u6578\u4f86\u57f7\u884c\u6b64\u6620\u5c04\u3002 \u5728\u9019\u9805\u7814\u7a76\u4e2d\uff0c\u6211\u5011\u63a8\u5c0e\u51fa\u8cbb\u820d\u723e\u5206\u6578\u7528\u4f86\u5c07\u7bc0\u9ede\u7684\u6a5f\u7387\u5206\u4f48\u5c0d\u6620\u5230\u8072\u97f3\u7684\u5c0f\u6ce2\u5305\u5206 \u89e3\u3002\u6839\u64da\u7d93\u9a57\uff0c\u6bcf\u500b\u7bc0\u9ede\u88ab\u8996\u4f5c\u4e00\u7a2e\u55ae\u4e00\u9ad8\u65af\u5206\u4f48\u3002 \u7d66\u5b9a\u4e00\u500b\u53c3\u6578\u96c6\u70ba\u03b8\u7684\u751f\u6210\u6a21\u578b p(X|\u03b8)\uff0c\u6211\u5011\u53ef\u4ee5\u85c9\u7531\u4e0b\u5217\u7684\u5f0f\u5b50\u5f97\u5230\u76f8\u95dc\u7684\u5206\u6578 \u7a7a\u9593\u3002 F-score SIR of Sound Class Separated Sounds Separated Sounds Mixed Sounds (Baseline) (Proposed System)</td></tr><tr><td>Doorbell Ringing</td><td/><td/><td/><td>0.00</td><td/><td/><td/><td/><td/><td/><td/><td>0.46</td><td/><td>0.92</td><td/></tr><tr><td>Glass Breaking</td><td>F \u03a8</td><td>,</td><td>f</td><td>) 0.82 ( X</td><td>=</td><td>F</td><td>(</td><td>f</td><td>(</td><td>p</td><td>(</td><td>| 0.80 \u03b8 X</td><td>)))</td><td>0.92</td><td>(22)</td></tr><tr><td>Door Knocking</td><td/><td/><td/><td>0.23</td><td/><td/><td/><td/><td/><td/><td/><td>0.00</td><td/><td>0.32</td><td/></tr><tr><td colspan=\"16\">\u5728\u4e0a\u5f0f\u4e2d\uff0c\u03a8\u8868\u793a\u5206\u6578\u5411\u91cf\uff1bf(p(X|\u03b8))\u8868\u793a\u5206\u6578\u53c3\u6578\uff0c\u6b64\u5206\u6578\u53c3\u6578\u70ba\u672c\u7bc7\u8ad6\u6587\u4e2d\u751f</td></tr><tr><td colspan=\"16\">\u6210\u6a21\u578b\u7684\u5c0d\u6578\u4f3c\u7136\u51fd\u6578\uff1bF\u8868\u793a\u5c07\u5206\u6578\u53c3\u6578\u5c0d\u61c9\u5230\u5206\u6578\u7a7a\u9593\u7684\u5206\u6578\u904b\u7b97\u3002 \u8868\u4e8c\u70ba\u4e09\u500b\u76ee\u6a19\u8072\u97f3\u985e\u5225\u7684\u6df7\u5408\u8072\u97f3\u53ca\u5206\u96e2\u8072\u97f3\u7684\u9a57\u8b49\u7d50\u679c\u6bd4\u8f03\u3002\u6211\u5011\u53ef\u4ee5\u770b\u51fa\u5728</td></tr><tr><td colspan=\"16\">\u9a57\u8b49\u7cfb\u7d71\u4e2d\uff0c\u7528\u5206\u96e2\u8a0a\u865f\u6bd4\u7528\u6df7\u5408\u8a0a\u865f\u7684\u6548\u679c\u4f86\u7684\u597d\u5f88\u591a\u3002\u6b64\u5916\uff0c\u6211\u5011\u63d0\u51fa\u7684 CBSS \u7cfb \u4e94\u3001\u5be6\u9a57\u7d50\u679c \u7d71\u8868\u73fe\u4e5f\u6bd4\u57fa\u6e96\u7cfb\u7d71\u512a\u7570\u3002</td></tr><tr><td colspan=\"16\">\u6211\u5011\u5be6\u9a57\u7684\u7b2c\u4e00\u500b\u76ee\u6a19\u5728\u8b49\u660e\u6211\u5011\u7684\u8072\u97f3\u5206\u96e2\u968e\u6bb5\u7684\u8868\u73fe\u3002\u63a5\u8457\uff0c\u6211\u5011\u85c9\u7531\u6bd4\u8f03\u6df7 \u5408\u548c\u5206\u96e2\u7684\u8072\u97f3\u7684\u9a57\u8b49\u7d50\u679c\u4f86\u5c55\u793a\u8072\u97f3\u5206\u96e2\u5c0d\u8072\u97f3\u9a57\u8b49\u7684\u8ca2\u737b\u3002\u5728\u6b64\u7814\u7a76\u4e2d\uff0c\u6211\u5011\u5229\u7528 \u516d\u3001\u7d50\u8ad6</td></tr><tr><td colspan=\"16\">\u4e09\u7a2e\u6211\u5011\u611f\u8208\u8da3\u7684\u8072\u97f3\u8a0a\u865f\u7a2e\u985e\u4f86\u4f5c\u70ba\u76ee\u6a19\u8072\u97f3\uff0c\u4f8b\u5982\uff1a\u9580\u9234\u97ff\u3001\u73bb\u7483\u7834\u88c2\u548c\u6572\u9580\u8072\u3002 \u5728\u672c\u7bc7\u8ad6\u6587\u4e2d\uff0c\u6211\u5011\u63cf\u8ff0\u4e86\u4e00\u500b\u5728\u5bb6\u5ead\u81ea\u52d5\u5316\u4e2d\uff0c\u57fa\u65bc\u7121\u7dda\u611f\u6e2c\u7db2\u8def\u4e4b\u6df7\u5408\u8072\u97f3\u4e8b</td></tr><tr><td colspan=\"16\">\u6211\u5011\u9084\u5b9a\u7fa9\u4e86\u56db\u500b\u4e0d\u5e0c\u671b\u5f97\u5230\u7684\u8072\u97f3\uff0c\u5305\u542b\u8c93\u53eb\u3001\u72d7\u5420\u3001\u5f48\u92fc\u7434\u53ca\u4eba\u8aaa\u8a71\u4f86\u7576\u4f5c\u975e\u76ee\u6a19 \u4ef6\u5206\u96e2\u548c\u9a57\u8b49\u7cfb\u7d71\u3002\u6211\u5011\u8aaa\u660e\u4e86\u65cb\u7a4d\u76f2\u8a0a\u865f\u6e90\u5206\u96e2\u53ef\u4ee5\u88ab\u7528\u4f86\u5206\u96e2\u6df7\u548c\u8072\u97f3\u4e8b\u4ef6\u8a0a\u865f\u3002</td></tr><tr><td colspan=\"16\">\u8072\u97f3\u3002\u5728\u8a13\u7df4\u968e\u6bb5\uff0c\u6211\u5011\u7528\u5f9e\u9019\u4e9b\u985e\u5225\u7684\u4e7e\u6de8\u8072\u97f3\u53d6\u51fa\u7684\u7279\u5fb5\u503c\u4f86\u8a13\u7df4 SVM \u5206\u985e\u5668\u3002 \u9664\u4e86\u6df7\u5408\u8072\u97f3\u5206\u96e2\uff0c\u6211\u5011\u63a1\u7528\u652f\u63f4\u5411\u91cf\u6a5f\u4f86\u9032\u884c\u8072\u97f3\u9a57\u8b49\u3002\u6240\u4f7f\u7528\u7684\u7279\u5fb5\u96c6\u5305\u542b MFCCs</td></tr><tr><td colspan=\"16\">\u6b64\u5916\uff0c20 \u500b\u5f9e\u76ee\u6a19\u985e\u5225\u9078\u51fa\u7684\u4e7e\u6de8\u8072\u97f3\u6a94\u6848\u53ca 30 \u500b\u5f9e\u975e\u76ee\u6a19\u985e\u5225\u9078\u51fa\u7684\u8072\u97f3\u7247\u6bb5\u4e5f\u88ab \u548c Fisher Scores\u3002\u6211\u5011\u7684\u5be6\u9a57\u986f\u793a\uff0c\u6240\u63d0\u51fa\u7684\u6df7\u5408\u8072\u97f3\u5206\u96e2\u67b6\u69cb\u986f\u8457\u5730\u589e\u9032\u4e86\u8072\u97f3\u9a57\u8b49</td></tr><tr><td colspan=\"15\">\u7528\u4f86\u8a13\u7df4 SVM \u5206\u985e\u5668\u3002\u6211\u5011\u7684\u7cfb\u7d71\u4e2d\u4f7f\u7528\u7684\u8072\u97f3\u9577\u5ea6\u662f 1 \u79d2\uff0c\u53d6\u6a23\u7387\u70ba 8 kHz\u3002 \u7684\u7d50\u679c\u3002</td><td/></tr><tr><td colspan=\"16\">\u6211\u5011\u7528\u76ee\u6a19\u8072\u97f3\u548c\u4eba\u8aaa\u8a71\u8072\u7684\u6df7\u5408\u8a0a\u865f\u4f86\u6e2c\u8a66\u7cfb\u7d71\u3002\u5728\u7b2c\u4e00\u500b\u5be6\u9a57\u4e2d\uff0c\u6211\u5011\u7528\u4e0d\u540c \u7684 DOA \u5dee\u7570\u503c\u4f86\u8a55\u4f30\u8072\u6e90\u6578\u91cf\u4f30\u8a08\u548c\u5206\u96e2\u7684\u8868\u73fe\u3002\u6211\u5011\u63a1\u7528\u8a0a\u865f\u5e72\u64fe\u6bd4(Signal-To-\u53c3\u8003\u6587\u737b</td></tr><tr><td colspan=\"13\">Interference Ratio, SIR)[16] \u4f86\u8a55\u50f9\u5206\u96e2\u7684\u8868\u73fe\u3002</td><td/><td/><td/></tr></table>"
}
}
}
} |