{
    "paper_id": "O06-1009",
    "header": {
        "generated_with": "S2ORC 1.0.0",
        "date_generated": "2023-01-19T08:07:00.462671Z"
    },
    "title": "",
    "authors": [],
    "year": "",
    "venue": null,
    "identifiers": {},
    "abstract": "",
    "pdf_parse": {
        "paper_id": "O06-1009",
        "_pdf_hash": "",
        "abstract": [],
        "body_text": [
            {
                "text": "l , t \u0393 \u4e26\u6c92\u6709\u5c07\uf918\u5728\u8a9e\u97f3\u5340\u9593 [1,t]\u7684\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\u7684\u90e8\u4efd\u6700\u4f73\uf937\u5f91\u5b8c\u5168\u6db5\u84cb\uff0c\u4e5f\u5c31\u662f\u90e8\u5206\u6587\uf906\u5340\u9593[ 1 s , l s ]\u662f\uf967\u8db3\u7684\uff1b (\u4e8c) \u5c0d\u90e8\u5206\u6587\uf906\u5340\u9593[ 1 s , l s ]\u800c\u8a00\uff0c\u6240\u4f7f\u7528\u7684\u90e8\u5206\u8a9e\u97f3\u5340\u9593[1,t]\u662f\u904e\u9577\u7684\uff0c\u9069\u7576\u7684\u8a9e\u97f3\u9577\ufa01\u61c9\u5c0f\u65bc \u03c4 \u3002\u5716\u4e00\u986f\u793a\uff0c\u6700\u4f73\uf937\u5f91\u5728\u8a9e\u97f3\u5e8f\uf99c\u03c4 \u4e4b\u5f8c\u5df2\u8d85\u51fa\u9810\u8a2d\u7684\u90e8\u5206\u6587\uf906\u5340\u9593[ 1 s , l s ]\u3002\u56e0\u6b64\uff0c\u9664\u975e\u5728 \u641c\u5c0b\u7684\u540c\u6642\u53ef\u96a8\u6642\u638c\u63e1\u8a72\u6700\u4f73\uf937\u5f91\u7684\u8a9e\u97f3\u53ca\u6587\uf906\u7684\u9069\u7576\u7bc4\u570d\uff0c\u5426\u5247\uff0c\u4e5f\u53ea\u80fd\uf967\u65b7\u64f4\u5927\u90e8\u4efd\u641c\u5c0b\u7a7a \u9593\u4ee5\u4fdd\u8b49\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\u7684\u90e8\u4efd\u6700\u4f73\uf937\u5f91\uf918\u5728\u8a72\u90e8\u4efd\u641c\u5c0b\u7a7a\u9593\uf9e8\uff0c\u6700\u6975\u81f4\u7684\u60c5\u6cc1\u5c31\u662f\u90e8\u4efd\u641c\u5c0b\u7a7a\u9593 \u7b49\u65bc\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\uff0c\u800c\u9019\u4e5f\u662f\u6211\u5011\u6240\uf967\uf914\ufa0a\u7684\u60c5\u6cc1\u3002\u986f\u7136\u7684\uff0c\u5982\u4f55\u6c7a\u5b9a\u5b58\u5728\u65bc\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\uf9e8\u7684 \u6700\u4f73\uf937\u5f91\uff0c\u4e26\u4e14\u4f7f\u5f97\u8a72\u90e8\u5206\u6700\u4f73\uf937\u5f91\u8207\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\u7684\u6700\u4f73\uf937\u5f91\u662f\u91cd\u758a\u7684\uff0c\u662f\u89e3\u6c7a\u4e0a\u8ff0\u554f\u984c\u7684\u95dc \u9375\u3002\u56e0\u6b64\uff0c\u4e0b\u4e00\u7bc0\uff0c\u6211\u5011\u5c07\u4ecb\u7d39\u4e00\u500b\u53ef\u9760\uf937\u5f91\u4f30\u6e2c\u6f14\u7b97\u6cd5\uf92d\u89e3\u6c7a\u4e0a\u8ff0\u554f\u984c\u3002 \u03c4 \u8a9e\u97f3\u5e8f\uf99c \u6587 \uf906 \uf9fa \u614b \u5e8f \uf99c 1 s l s K s T 1 t \u5716\u4e00\uff1a\u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u793a\u610f\u5716 3. \u53ef\u9760\uf937\u5f91\u4f30\u6e2c \u53ef\u9760\uf937\u5f91\u4f30\u6e2c\u662f\u4ee5\u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u70ba\u57fa\u790e\u7684\u4f5c\u6cd5\uff0c\u4e26\u4e14\u914d\u5408\u6700\u5927\u76f8\u4f3c\ufa01\uf92d\u65bd\ufa08\uff0c\u56e0\u6b64\uff0c\u4ee5\u4e0b\u6211\u5011\u5148 \u5c0d\u57fa\u672c\u7684\u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u548c\u5176\u7279\u6027\u505a\u4e00\u7c21\u55ae\u63cf\u8ff0\u3002 3.1. \u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5 \u5047\u8a2d\u7531\u8a9e\u97f3\u5e8f\uf99c ( ) T T x x x X .. 2 1 = \u548c\u6587\uf906\uf9fa\u614b\u5e8f\uf99c ( ) K K s s s S .. 2 1 = \u6240\u69cb\u6210\u7684\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \uff0c\u5b58\u5728\u4e00\u500b \u8207 T X \u76f8\u5c0d\u61c9\u7684\u6700\u4f73\uf9fa\u614b\u5e8f\uf99c ( ) T T q q q Q ... 2 1 = \uff0c\u4ee5\u6700\u5927\u76f8\u4f3c\ufa01(ML\uff0cMaximum Likelihood)\uf92d\u9032\ufa08\u6bd4 \u5c0d\u6642\uff0c\u6211\u5011\u53ef\u4ee5\u5728\u6642\u9593t\u5f97\u5230\u5c0d\u61c9\u5230\u6587\uf906\uf9fa\u614b i s \u7684\u6700\u4f73\uf9fa\u614b\u5e8f\uf99c\u70ba ( ) t t q q q Q ... 2 1 = \uff0c\uf974\u5c07\u6b64\u6642\u7684\u76f8 \u4f3c\ufa01\u5206\uf969\u5b9a\u7fa9\u70ba [ ] K i X s q q q q s t i t t q q q i t t \u2264 \u2264 = = \u2212 \u2212 1 , | , , ,... Pr max ) ( 1 2 1 ,..., , 1 2 1 \u03bb \u03b4 (1) \u5247\u53ef\u5c07t+1\u6642\u9593\uf918\u5728\u6587\uf906\uf9fa\u614b j s \u7684\u76f8\u4f3c\ufa01\u5206\uf969\u8868\u793a\u70ba [ ] K j x b a s s t j ij i t K i j t \u2264 \u2264 = + \u2264 \u2264 + 1 ), ( ) ( max ) ( 1 1 1 \u03b4 \u03b4 (2) \u5176\u4e2d\uff0c \u03bb \u70ba\u6bd4\u5c0d\u6240\u4f7f\u7528\u7684\u8072\u5b78\u6a21\u578b\uff0c ij a \u70ba\uf9fa\u614b i s \u8f49\u79fb\u5230\uf9fa\u614b j s \u7684\u8f49\u79fb\u6a5f\uf961\uff0c ) ( 1 + t j x b \u70ba\u8a9e\u97f3 1 + t x \u5728\uf9fa\u614b j s \u7684\u6a5f\uf961\u5206\u5e03\u3002\uf967\u65b7\u53cd\u8986Eq.(2)\u76f4\u5230\u8a9e\u97f3\u5e8f\uf99c\u7d42\u9edeT\uff0c\u53ef\u5f97\u7d42\u9edeT\u7684\u76f8\u4f3c\ufa01\u5206\uf969\u70ba [ ] ) ( max 1 k T K k s \u03b4 \u2264 \u2264 (3) \u4e5f\u5c31\u662f\u53ef\u7531\u7d42\u9edeT\uf9e8\u9078\u51fa\u4e00\u500b\u5177\u6709\u6700\u5927\u76f8\u4f3c\ufa01\u5206\uf969\u7684\u6587\uf906\uf9fa\u614b k s \u8207\u8a9e\u97f3\u5e8f\uf99c\u7d42\u9edeT\u5c0d\u61c9\u3002\u4e4b\u5f8c\uff0c \u53ef\u7531\u8a9e\u97f3\u5e8f\uf99c\u7d42\u9edeT\u8207\u6587\uf906\uf9fa\u614b k s \u7684\u4ea4\u6703\u9ede ( ) k s T , \u03d5 \u56de\u6eaf\u81f3\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \u539f\u9ede ( ) 1 , 1 s \u03d5 \u5f97\u5230\u6700\u4f73 \uf937\u5f91 ( ) k s T path , \u3002(\u8a73\u7d30\u6f14\u7b97\u6cd5\u53ef\uf96b\u8003[1])\u3002 3.2. \u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u7279\u6027 \u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u4ee5\u6700\u5927\u76f8\u4f3c\ufa01\uf92d\u65bd\ufa08\uff0c\u5b58\u5728\u6709\u4ee5\u4e0b\uf978\u500b\u7279\u6027\uff1a \u7279\u6027\u4e00\uff1a\u5047\u8a2d\u90e8\u5206\u641c\u5c0b\u7a7a\u9593 ( ) l , t \u0393 \u5b58\u5728\u4e00\u7d42\u6b62\u65bc\u6642\u9593 t \u5c0d\u61c9\u5230\u6587\uf906\uf9fa\u614b i s \u7684\uf937\u5f91 ( ) i s t path , \uff0c\u8a72\uf937 \u5f91\u70ba\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \u6700\u4f73\uf937\u5f91\u7684\u4e00\u90e8\u4efd\u3002\uf974\u5728 ( ) l , t \u0393 \uf9e8\u6709\u53e6\u4e00\uf937\u5f91 ( ) j s t path , \u8207 ( ) i s t path , \u5728 ( ) l , t \u0393 \u7a7a\u9593\uf9e8\u6709\u4e00\u5c0d\u61c9\u5230\u6642\u9593\u03c4 \u8207\u6587\uf906\uf9fa\u614b n s \u4ea4\u6703\u9ede ( ) n s , \u03c4 \u03d5 \uff0c\u5247\u7531\u4ea4\u6703\u9ede ( ) n s , \u03c4 \u03d5 \u81f3\u641c\u5c0b\u7a7a\u9593 \u7684\u539f\u9ede ( ) 1 , 1 s \u03d5 \u4e4b\u9593\u7684\u6700\u4f73\uf937\u5f91 ( ) n s path , \u03c4 \u5fc5\u70ba ( ) i s t path , \u7684\u4e00\u90e8\u4efd\uff0c\u4e5f\u5fc5\u70ba ( ) K T , \u0393 \u6700\u4f73\uf937\u5f91\u7684\u4e00 \u90e8\u4efd\u3002 \uf96f\u660e\uff1a\u7531\u65bc\uf937\u5f91 ( ) i s t path , \u70ba ( ) K T , \u0393 \u6700\u4f73\uf937\u5f91\u7684\u4e00\u90e8\u4efd\uff0c\u800c ( ) n s , \u03c4 \u03d5 \u53c8\u4f4d\u5728 ( ) i s t path , \u4e2d\uff0c\u56e0\u6b64\uff0c\u7531 ( ) n s , \u03c4 \u03d5 \u6240\u6c7a\u5b9a\u51fa\uf92d\u7684\u6700\u4f73\uf937\u5f91 ( ) n s path , \u03c4 \u5fc5\u7136\u662f\u5c6c\u65bc ( ) K T , \u0393 \u6700\u4f73\uf937\u5f91\u7684\u4e00\u90e8\u4efd\u3002 \u7279\u6027\u4e8c\uff1a\u7531 ( ) n s , \u03c4 \u03d5 \u6240\u6c7a\u5b9a\u51fa\uf92d\u7684\u6700\u4f73\uf937\u5f91 ( ) n s path , \u03c4 \u5fc5\u5b9a\u53ea\u6709\u4e00\u689d\uff0c\u4e14\u5fc5\u5b9a\u662f\u4f7f\u5f97 ( ) n s , \u03c4 \u03d5 \u6240\u5728\u4f4d \u7f6e\u7684\u76f8\u4f3c\ufa01\u5206\uf969 ( ) n s \u03c4 \u03b4 \u6700\u5927\u7684\uf9fa\u614b\u5e8f\uf99c ( ) n s q q q q Q = = \u2212 \u03c4 \u03c4 \u03c4 , ... 1 2 1 \u3002 \uf96f\u660e\uff1a\u7dad\u7279\u6bd4\u7b97\u6cd5\u4ee5\u6700\u5927\u76f8\u4f3c\ufa01\uf92d\u65bd\ufa08\uff0c\u6bcf\u4e00\u6642\u9593\u5c0d\u61c9\u5230\u6bcf\u4e00\uf9fa\u614b\u7684\u76f8\u4f3c\ufa01\u5206\uf969\ufa26\u662f\u6700\u5927\u7684\uff0c\u4e14 \u5fc5\u5b9a\u50c5\u6709\u4e00\u6700\u4f73\uf9fa\u614b\u5e8f\uf99c\u8207\u4e4b\u5c0d\u61c9\u3002 3.3. \u53ef\u9760\uf937\u5f91\u4f30\u6e2c \u7531\u65bc\u4ee5\u6700\u5927\u76f8\u4f3c\ufa01\uf92d\u65bd\ufa08\uff0c\u6700\u4f73\uf937\u5f91\u7d42\u9ede\u901a\u5e38\ufa26\u5177\u6709\u8f03\u5927\u7684\u76f8\u4f3c\ufa01\u5206\uf969\uff0c\u56e0\u6b64\uff0c\u5982\u679c\u6700\u4f73\uf937\u5f91\uf918 \u5728\u90e8\u5206\u641c\u5c0b\u7a7a\u9593 ( ) l , t \u0393 \uf9e8\uff0c\u5247\u5728\u6642\u9593 t \u7531\u90e8\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c ) ... ( 2 1 l l s s s S = \u9078\u51fa N \u500b\u5177\u6709\u8f03\u5927\u76f8\u4f3c \ufa01\u5206\uf969\u7684\uf9fa\u614b\uff0c\u662f\u975e\u5e38\u6709\u53ef\u80fd\u5c07\u6700\u4f73\uf937\u5f91\u7684\u7d42\u9ede\uf9fa\u614b\u6db5\u84cb\u9032\uf92d\u3002\u4ee5\u9019\u4e9b\u5177\u6709\u8f03\u5927\u76f8\u4f3c\ufa01\u5206\uf969\u7684\uf9fa \u614b\u6240\u56de\u6eaf\u51fa\uf92d\u7684\uf937\u5f91\u5c31\u6709\u53ef\u80fd\u5305\u542b ( ) l , t \u0393 \u7684\u6700\u4f73\uf937\u5f91\u3002\u6240\u4ee5\uff0c\u5047\u8a2d\u9019\u4e9b\uf937\u5f91\u4e2d\u5305\u542b\u6709\u6700\u4f73\uf937\u5f91\uff0c \u4e26\u4e14\u9019\u4e9b\uf937\u5f91\u6709\u5171\u540c\u7684\u4ea4\u6703\u9ede\uff0c\u4f9d\u7167\u7279\u6027\u4e00\uff0c\u8a72\u4ea4\u6703\u9ede\u5fc5\u5b9a\uf918\u5728\u6700\u4f73\uf937\u5f91\uf9e8\uff0c\u4e26\u4e14\uff0c\u7531\u4ea4\u6703\u9ede\u56de \u6eaf\u5230 ( ) l , t \u0393 \u539f\u9ede\u7684\uf937\u5f91\uff0c\u5fc5\u5b9a\u70ba\u6700\u4f73\uf937\u5f91\u7684\u4e00\u90e8\u4efd\uff0c\u4f9d\u7167\u7279\u6027\u4e8c\uff0c\u7531\u4ea4\u6703\u9ede\u6240\u56de\u6eaf\u7684\u6700\u4f73\uf937\u5f91\u50c5 \u6709\u4e00\u689d\uff0c\u6240\u4ee5\u53ef\u7531\u4efb\u4e00\u7d93\u904e\u4ea4\u6703\u9ede\u7684\uf937\u5f91\u53d6\u5f97\u8a72\u6700\u4f73\uf937\u5f91\u3002\u7531\u65bc\u662f\u4ee5 N \u500b\u5177\u6709\u8f03\u5927\u76f8\u4f3c\ufa01\u5206\uf969\u7684 \uf9fa\u614b\uf92d\u53d6\u5f97\u90e8\u5206\u641c\u5c0b\u7a7a\u9593 ( ) l , t \u0393 \uf9e8\u53ef\u80fd\u7684\u6700\u4f73\uf937\u5f91\uff0c\u6211\u5011\u7a31\u9019\u500b\u53d6\u5f97\u6700\u4f73\uf937\u5f91\u65b9\u5f0f\u70ba\u53ef\u9760\uf937\u5f91\u4f30 \u6e2c\u3002 \u53ef\u4ee5\uf9ba\u89e3\u7684\u662f\uff0c\u7576 N \u8d8a\u5927\u6db5\u84cb\u6700\u4f73\uf937\u5f91\u7d42\u9ede\uf9fa\u614b\u7684\u53ef\u80fd\u6027\u5c31\u8d8a\u5927\uff1b\u53cd\u4e4b\uff0c\u7576 N",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            },
            {
                "text": "\u6301\u4e0b\u4e00\u6b21\u6bd4\u5c0d\u7684\u90e8\u5206\u6587\uf906\u5e8f\uf99c\u70ba l \u500b\uf9fa\u614b\u3002\u5716\u56db\u5247\u662f\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u52a0\u5927\u70ba w + l \u5f8c\uff0c\u5728\u6642\u9593 t \u53d6\u5f97\u53ef\u9760\uf937\u5f91\uff0c\u5728\u53bb\u9664 n \u500b\u6587\uf906\uf9fa\u614b\u4e4b\u5f8c\uff0c\u5269\u9918\u7684\u6587\uf906\uf9fa\u614b n w \u2212 + l \u5927\u65bc l \uff0ct+1 \u6642\u9593\u8abf\u6574\u90e8 \u5206\u6587\uf906\u5e8f\uf99c\u70ba n w \u2212 + l \u500b\uf9fa\u614b\u3002 \u56e0\u6b64\uff0c\u85c9\u7531\u53ef\u9760\uf937\u5f91\u4f30\u6e2c\u548c\u4e0a\u8ff0\u641c\u5c0b\u7a7a\u9593\u7684\u8abf\u6574\uff0c\u6211\u5011\u5c31\u53ef\u4ee5\u5faa\u5e8f\u7684\u4ee5\u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u5b8c \u6210\u5927\uf97e\uf99a\u7e8c\u8a9e\uf9be\u7684\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u5de5\u4f5c\u3002\u5716\u4e94\u662f\u4ee5\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\uf92d\u6db5\u84cb\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \u7684\u6700 \u4f73\uf937\u5f91\u793a\u610f\u5716\u3002\u4ee5\u904e\u53bb\u50b3\u7d71\u4f5c\u6cd5\u9032\ufa08\u8a9e\u97f3\u6587\uf906\u6821\u6e96\uff0c\u9700\u8981\u5c0d\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \u505a\u904b\u7b97\u4e4b\u5f8c\u624d \u5f97\u4ee5\u6c7a\u5b9a\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\u7684\u6700\u4f73\uf937\u5f91\uff0c\u4ee5\u672c\u6587\u6240\u4ecb\u7d39\u7684\u65b9\u6cd5\u5247\u53ef\u4ee5\uf96d\u53bb\u5982\u5716\u4e94\u7070\u8272\u5340\u9593\u7684\u904b\u7b97\uf97e\u3002 \u7576\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593\uf967\u5927\u6642\uff0c\u672c\u6587\u4f5c\u6cd5\u8207\u50b3\u7d71\u4f5c\u6cd5\u6240\u9700\u7684\u904b\u7b97\uf97e\u6216\u8a31\u5dee\uf962\uf967\u5927\uff0c\u4f46\u662f\u7576\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593 \u8b8a\u5927\uff0c\u5982\u52d5\u8f12 5 \u5206\u9418\u4ee5\u4e0a\u7684\u6559\u5b78\uf93f\u97f3\u5e36\u6216\u662f\u5149\u789f\u97f3\u8ecc\uff0c\u672c\u6587\u4f5c\u6cd5\u53ef\u7bc0\uf96d\u76f8\u7576\u591a\u7684\u904b\u7b97\uf97e\uff0c\u662f\u4e00\u7a2e \u76f8\u7576\u6709\u6548\uf961\u7684\u4f5c\u6cd5\u3002 t \u8a9e\u97f3\u5e8f\uf99c 1 s l s w s + l T 1 1 + t w + l N \u500b\u5177\u6709\u8f03\u5927\u76f8 \u4f3c\ufa01\u5206\uf969\u7684\uf9fa\u614b \u5305\u542b l s \u6587 \uf906 \uf9fa \u614b \u5e8f \uf99c \u5716\u4e8c\uff1a\u65bc\u8a9e\u97f3\u5e8f\uf99c\u6642\u9593 t \u9078\u51fa N \u500b\u5177\u6709\u8f03\u5927\u76f8\u4f3c\ufa01\u5206\uf969\u7684\uf9fa\u614b\u96c6\u5408\uff0c\u8a72\u96c6\u5408\u542b\u6709\u90e8\u5206\u6587\uf906\uf9fa \u614b\u5e8f\uf99c\u7684\u6700\u5f8c\u4e00\u500b\uf9fa\u614b\uff0c\u65bc t+1 \u6642\u9593\u52a0\u5927\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u70ba w + l t \u8a9e\u97f3\u5e8f\uf99c 1 s l s l + n s T 1 1 + t n s \u03c4 l \u6587 \uf906 \uf9fa \u614b \u5e8f \uf99c \u5716\u4e09\uff1a\u8a9e\u97f3\u5e8f\uf99c\u6642\u9593 t \u53d6\u5f97\u53ef\u9760\uf937\u5f91\uff0c\u7576\u53bb\u9664\u53ef\u9760\uf937\u5f91\u6240\u542b n \u500b\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u4e4b\u5f8c\uff0c\uf974\u5269\u9918 \u7684\u6587\uf906\uf9fa\u614b\u5c11\u65bc l \u500b\uf9fa\u614b\uff0c\u65bc t+1 \u4fdd\u6301\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u70ba l \u500b\uf9fa\u614b t \u8a9e\u97f3\u5e8f\uf99c 1 s l s w s + l T 1 1 + t n s \u03c4 n w \u2212 + l \u6587 \uf906 \uf9fa \u614b \u5e8f \uf99c \u5716\u56db\uff1a\u8a9e\u97f3\u5e8f\uf99c\u6642\u9593 t \u53d6\u5f97\u53ef\u9760\uf937\u5f91\uff0c\u7576\u53bb\u9664\u53ef\u9760\uf937\u5f91\u6240\u542b n \u500b\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u4e4b\u5f8c\uff0c\uf974\u5269\u9918 \u7684\u6587\uf906\uf9fa\u614b n w \u2212 + l \u5927\u65bc l \u500b\uf9fa\u614b\uff0c\u65bc t+1 \u4fdd\u6301 n w \u2212 + l \u500b\u6587\uf906\uf9fa\u614b \u8a9e\u97f3\u5e8f\uf99c 1 s K s T 1 \u6587 \uf906 \uf9fa \u614b \u5e8f \uf99c \u5716\u4e94\uff1a\u4ee5\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u96c6\u5408\uf92d\u6db5\u84cb\u6574\u9ad4\u641c\u5c0b\u7a7a\u9593 ( ) K T , \u0393 \u7684\u6700\u4f73\uf937\u5f91\u793a\u610f\u5716 3.5. \u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u6f14\u7b97\u6cd5 \u4ee5\u4e0b\u5c07\u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u6f14\u7b97\u6cd5\u6574\uf9e4\u5982\u5716\uf9d1\u3002 1. \u53d6\u51fa\u90e8\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c ) ... ( 2 1 l s s s S = \uff0c\u4e26\u521d\u59cb\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u7684\u6a5f\uf961\u5206\uf969 { } ) ( ),..., ( ), ( 1 2 1 1 1 l s s s \u03b4 \u03b4 \u03b4 \u70ba\u6975\u5c0f\u503c\uff1b 2. \u5faa\u5e8f\u53d6\u51fa\u6bcf\u4e00\u8a9e\u97f3\u97f3\u6846t\u9032\ufa08\u4e0b\uf99c\u6b65\u9a5f\uff1a 2.1 \u4f9d\u7167Eq.(2)\uff0c\u4f46\u9650\u5236 l \u2264 \u2264 i 1 \u548c l \u2264 \u2264 j 1 ,\u6c7a\u5b9a\u6bcf\u4e00\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u7684\u6a5f\uf961\u5206\uf969 { } ) ( ),..., ( ), ( 2 1 l s s s t t t \u03b4 \u03b4 \u03b4 ,\u4e26\u7d00 \uf93f\u5176\u524d\u4e00\u8a9e\u97f3\u97f3\u6846t-1\u7684\u6700\u4f73\uf9fa\u614b\u4f4d\u7f6e\uff1b 2.2 \u4f9d\u7167\u6a5f\uf961\u5206\uf969\u9078\u51faN\u500b\u5177\u6709\u8f03\u5927\u6a5f\uf961\u5206\uf969\u7684\u6587\uf906\uf9fa\u614b\uff1b 2.3 \u4ee5t\u548cN\u500b\u5177\u6709\u8f03\u5927\u6a5f\uf961\u5206\uf969\u7684\u6587\uf906\uf9fa\u614b\u9032\ufa08\u56de\u6eaf, \u6c42\u51fa\uf937\u5f91\u7684\u4ea4\u6703\u9ede ( ) n s , \u03c4 \u03d5 \uff1b 2.4.1 \uf974 ( ) n s , \u03c4 \u03d5 \u975e\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u7684\u539f\u9ede ( ) 1 , 1 s \u03d5 \uff0c\u5247\u7531 ( ) n s , \u03c4 \u03d5 \u56de\u6eaf\u81f3 ( ) 1 , 1 s \u03d5 \u7684\uf937\u5f91\u70ba\u53ef\u9760\uf937\u5f91\uff0c\u8f38\u51fa \u53ef\u9760\uf937\u5f91\uf969\u64da\uff0c\u4f9d\u7167\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u8abf\u6574\u4e8c\uff0c\u91cd\u8a2d\u90e8\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\uff0c\u4e26\u521d\u59cb\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\uf9e8\u65b0 \u589e\u52a0\uf9fa\u614b\u7684\u6a5f\uf961\u5206\uf969\u70ba\u6975\u5c0f\u503c\uff1b 2.4 \u53ef\u9760\uf937\u5f91\u8cc7\u8a0a\u7d00\uf93f\u548c\u641c\u5c0b\u7a7a\u9593\u8abf\u6574\uff1a 2.4.2 \uf974 ( ) n s , \u03c4 \u03d5 \u70ba\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u7684\u539f\u9ede ( ) 1 , 1",
                "cite_spans": [],
                "ref_spans": [],
                "eq_spans": [],
                "section": "",
                "sec_num": null
            }
        ],
        "back_matter": [],
        "bib_entries": {
            "BIBREF0": {
                "ref_id": "b0",
                "title": "Fundamentals of Speech Recognition",
                "authors": [
                    {
                        "first": "L",
                        "middle": [],
                        "last": "Rabiner",
                        "suffix": ""
                    },
                    {
                        "first": "Juang B.-H",
                        "middle": [],
                        "last": "",
                        "suffix": ""
                    }
                ],
                "year": 1993,
                "venue": "",
                "volume": "",
                "issue": "",
                "pages": "339--340",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Rabiner L. and Juang B.-H., \"Fundamentals of Speech Recognition,\" New Jersey, Prentice-Hall International, 1993, pp. 339-340.",
                "links": null
            },
            "BIBREF1": {
                "ref_id": "b1",
                "title": "Automatic Generation of Hyperlinks Between Audio and Transcript",
                "authors": [
                    {
                        "first": "J",
                        "middle": [],
                        "last": "Robert-Ribes",
                        "suffix": ""
                    },
                    {
                        "first": "R",
                        "middle": [
                            "G"
                        ],
                        "last": "Mukhtar",
                        "suffix": ""
                    }
                ],
                "year": 1997,
                "venue": "Eurospeech",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Robert-Ribes J. and Mukhtar R.G., \"Automatic Generation of Hyperlinks Between Audio and Transcript,\" Eurospeech, 1997.",
                "links": null
            },
            "BIBREF2": {
                "ref_id": "b2",
                "title": "A Recursive Algorithm for the Forced Alignment of Very Long Audio Segments",
                "authors": [
                    {
                        "first": "P",
                        "middle": [
                            "J"
                        ],
                        "last": "Moreno",
                        "suffix": ""
                    },
                    {
                        "first": "C",
                        "middle": [],
                        "last": "Joerg",
                        "suffix": ""
                    },
                    {
                        "first": "J.-M",
                        "middle": [],
                        "last": "Van Thong",
                        "suffix": ""
                    },
                    {
                        "first": "Glickman",
                        "middle": [
                            "O"
                        ],
                        "last": "",
                        "suffix": ""
                    }
                ],
                "year": 1998,
                "venue": "ICSLP",
                "volume": "",
                "issue": "",
                "pages": "",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Moreno P.J., Joerg C., Van Thong J.-M., and Glickman O., \"A Recursive Algorithm for the Forced Alignment of Very Long Audio Segments,\" ICSLP, 1998.",
                "links": null
            },
            "BIBREF3": {
                "ref_id": "b3",
                "title": "MAT -A Project to Collect Mandarin Speech Data Through Networks in Taiwan",
                "authors": [
                    {
                        "first": "H.-C",
                        "middle": [],
                        "last": "Wang",
                        "suffix": ""
                    }
                ],
                "year": 1997,
                "venue": "Computational Linguistics and Chinese Language Processing",
                "volume": "2",
                "issue": "",
                "pages": "73--89",
                "other_ids": {},
                "num": null,
                "urls": [],
                "raw_text": "Wang H.-C., \"MAT -A Project to Collect Mandarin Speech Data Through Networks in Taiwan,\" Computational Linguistics and Chinese Language Processing, Vol. 2, No. 1, pp. 73-89, 1997.",
                "links": null
            }
        },
        "ref_entries": {
            "TABREF2": {
                "text": "Windows 2000)\uff0c4 \u7d44\u8a9e\uf9be\u5eab\ufa26\u53ef\u4ee5\u5728 1 \u500b\u5be6\u9ad4\u6642\u9593\u5167(RT\uff0cReal Time)\u5b8c\u6210\ufa00\u5272(N=40 \u7d04 0.6 RT \u5b8c\u6210\uff0cN=80 \u7d04 0.98 RT \u5b8c\u6210)\u3002",
                "content": "<table><tr><td colspan=\"4\">\u542b\u80cc\u666f\u97f3\uf914\u7684\u8a9e\uf9be(DB1+MU, DB2+MU) \uff1a\u5c07\u4e0a\u8ff0\uf969\u8a9e\uf9be(DB1, DB2)\u4ee5\u8a9e\uf9be\uf9e8\u7684\u5e73\u5747\u97f3\uf97e\u70ba\u57fa\u6e96\uff0c \u641c\u5c0b\u7a7a\u9593\u7684 1%\u4ee5\u4e0b\u3002\u5728 N=80 \u7684\u689d\u4ef6\u4e0b\uff0cDB1+MU \u548c DB2+MU \u6bcf\u79d2\u7d04\u8655\uf9e4 30 \u500b\u97f3\u7bc0\uff0c\u4f54\u6574\u9ad4\u641c\u5c0b\u7a7a</td></tr><tr><td colspan=\"4\">\u52a0\u5165\u5c0d\u61c9\u5f37\ufa01\u7d0410 dB SNR\u7684\u53e4\u5178\uf914(\u56db\u5b63\uff0c\u7dad\u74e6\u7b2c) \uff0c\u4ee5\u89c0\u5bdf\u53d7\u80cc\u666f\u97f3\uf914\u5e72\u64fe\u7684\u8a9e\u97f3\u6587\uf906\u6821 \u9593\u7684 1.5%\u4ee5\u4e0b\u3002\uf978\u8005\u7686\u5177\u6709\u76f8\u7576\u9ad8\u7684\u57f7\ufa08\u6548\uf961\u3002\u4e0a\u8ff0\u5be6\u9a57\ufa26\u662f\u4ee5\u4e00\u822c\u7684\u96fb\u8166\u7cfb\u7d71\uf92d\u57f7\ufa08(AMD 1.0G</td></tr><tr><td colspan=\"4\">\u6e96\u60c5\u5f62\u3002\u540c\u6a23\u4f7f\u7528DB1\u548cDB2\u6240\u6c42\u5f97\u7684\u908a\u754c\u4f4d\u7f6e\u70ba\u6b63\u78ba\u7b54\u6848\uf92d\u9032\ufa08\u8a55\u4f30\u3002 Hz CPU,</td></tr><tr><td>4.2. \u8072\u5b78\u6a21\u578b</td><td/><td/><td/></tr><tr><td colspan=\"4\">\u5be6\u9a57\u6240\u4f7f\u7528\u7684\u8072\u5b78\u6a21\u578b\u4fc2\u81eaMAT\u96fb\u8a71\u8a9e\u97f3\u8a9e\uf9be\u5eab[6]\u8a13\uf996\u800c\u5f97\uff0c\u8a9e\u97f3\u8a9e\uf9be\u5eab\u7684\u683c\u5f0f\u70ba8 KHz\u3001</td></tr><tr><td colspan=\"4\">16-bit\u3001Mono\u3002\u8072\u5b78\u6a21\u578b\u5171\u542b100\u500b\u53f3\u76f8\u95dc\u8072\u6bcd\u6a21\u578b\u300138\u500b\u5de6\u53f3\u7121\u95dc\u7684\u97fb\u6bcd\u6a21\u578b\u548c1\u500b\u975c\u97f3\u6a21\u578b\u3002</td></tr><tr><td colspan=\"4\">\u6bcf\u500b\u8072\u6bcd\u6a21\u578b\u4ee53\u500b\uf9fa\u614b\uf92d\u63cf\u8ff0\uff0c\u97fb\u6bcd\u6a21\u578b\u4ee55\u500b\uf9fa\u614b\uf92d\u63cf\u8ff0\uff0c\u975c\u97f3\u6a21\u578b\u5247\u50c5\u4ee51\u500b\uf9fa\u614b\uf92d\u63cf\u8ff0\u3002</td></tr><tr><td colspan=\"4\">\u8072\u3001\u97fb\u6bcd\u6a21\u578b\uf9fa\u614b\u4f7f\u752810\u500b\u6df7\u5408\uf969\uff0c\u975c\u97f3\u4f7f\u752864\u500b\u6df7\u5408\uf969\u3002</td></tr><tr><td colspan=\"4\">\u9664\uf9ba\u4e0a\u8ff0\u7684\u8072\u5b78\u6a21\u578b\u4e4b\u5916\uff0c\u5728\u9032\ufa08\u6821\u6e96\u6642\uff0c\u6211\u5011\u4e5f\u4f7f\u7528\u5177\u6709 64 \u500b\u9ad8\u65af\u6df7\u5408\uf969\u7684\u8a9e\u97f3/\u975e\u8a9e\u97f3</td></tr><tr><td colspan=\"4\">\u6a21\u578b\uf92d\u9032\ufa08\u8a9e\u97f3/\u975e\u8a9e\u97f3\u5224\u65b7\uff0c\u4e26\u5c07\u5224\u65b7\u70ba\u975e\u8a9e\u97f3\u7684\u6a23\u672c\u6536\u96c6\u8d77\uf92d\u8a13\uf996\u4e00\u500b\u50c5\u6709\u4e00\u500b\u6df7\u5408\uf969\u7684\u80cc</td></tr><tr><td colspan=\"4\">\u666f\u6a21\u578b\u3002\u5c07\u8a72\u80cc\u666f\u6a21\u578b\u8207\u524d\u8ff0\u975c\u97f3\u6a21\u578b\u5408\u4f75\u6210 65 \u500b\u6df7\u5408\uf969\uff0c\u4f5c\u70ba\u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u6642\u5438\u6536\u975c\u97f3</td></tr><tr><td>\u548c\u80cc\u666f\u96dc\u8a0a\u4e4b\u7528\u3002</td><td>\u03d5</td><td>s</td><td>\uff0c\u5247\u7121\u53ef\u9760\uf937\u5f91\uff0c\uf974N\u500b\u5177\u6709\u8f03\u5927\u6a5f\uf961\u5206\uf969\u7684\u6587\uf906\uf9fa\u614b</td></tr><tr><td colspan=\"4\">\u542b\u90e8\u5206\u6587\uf906\u5e8f\uf99c\u6700\u5f8c\u4e00\u500b\uf9fa\u614b\uff0c\u4f9d\u7167\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u8abf\u6574\u4e00\uff0c\u52a0\u5927\u90e8\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\uff0c\u4e26\u521d\u59cb\u6587 4.3. \u5be6\u9a57\u689d\u4ef6\u8a2d\u5b9a\u548c\u8a9e\u97f3\u908a\u754c\u5075\u6e2c</td></tr><tr><td colspan=\"4\">\uf906\uf9fa\u614b\u5e8f\uf99c\uf9e8\u65b0\u589e\u52a0\uf9fa\u614b\u7684\u6a5f\uf961\u5206\uf969\u70ba\u6975\u5c0f\u503c\uff1b</td></tr><tr><td colspan=\"4\">2.5 \uf974\u5c1a\u6709\u8a9e\u97f3\u4fe1\u865f, \u91cd\u8907\u9032\ufa082.1\u81f32.4\u6b65\u9a5f\uff1b \uf967\u52a0\u80cc\u666f\u97f3\uf914\u7684\u8a9e\uf9be(DB1, DB2) \uff0c\u6211\u5011\u4ee5N=40\uf92d\u4f30\u6e2c\u53ef\u9760\uf937\u5f91\u3002\u52a0\uf9ba\u80cc\u666f\u97f3\uf914\u7684\u8a9e\uf9be(DB1+MU,</td></tr><tr><td colspan=\"4\">3. \u5269\u9918\u7684\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u4ee5\u90e8\u5206\u641c\u5c0b\u7a7a\u9593\u7684\u8a9e\u97f3\u4fe1\u865f\u7d42\u9ede\u548c\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u7d42\u9ede\u9032\ufa08\u56de\u6eaf, \u6c42\u51fa\u5176\u6700\u4f73\uf937\u5f91\u4e26\u8f38 DB2+MU) \uff0c\u5247\u4ee5N=80\uf92d\u4f30\u6e2c\u53ef\u9760\uf937\u5f91\u3002</td></tr><tr><td colspan=\"4\">\u51fa\u6700\u4f73\uf937\u5f91\uf969\u64da\u3002 \u90e8\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u9577\ufa01 l \u8a2d\u70ba 20 \u500b\u97f3\u7bc0(\u4e5f\u5c31\u662f 180 \u500b\uf9fa\u614b\uff0c\u542b\u97f3\u7bc0\u8207\u97f3\u7bc0\u4e4b\u9593\u7684\u4e00\u500b\u975c</td></tr><tr><td colspan=\"4\">\u97f3\uf9fa\u614b) \u3002\u52a0\u5927\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u7684\u5e8f\uf99c\u9577\ufa01 w \u4e5f\u662f\u4f7f\u7528 20 \u500b\u97f3\u7bc0\uf92d\u9632\u6b62\u6700\u4f73\uf937\u5f91\u53ef\u80fd\uf918\u5728\u90e8\u5206\u641c\u5c0b</td></tr><tr><td>\u7a7a\u9593\u4e4b\u5916\u7684\u60c5\u6cc1\u3002</td><td colspan=\"3\">\u5716\uf9d1\uff1a\u90e8\u5206\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u6f14\u7b97\u6cd5</td></tr><tr><td colspan=\"4\">\u5728\u53d6\u5f97\u53ef\u9760\uf937\u5f91\u4e4b\u5f8c\uff0c\u6aa2\u9a57\u53ef\u9760\uf937\u5f91\u6240\u5c0d\u61c9\u7684\u6587\uf906\u5e8f\uf99c\u4e2d\u662f\u5426\u542b\u6709\u5206\u9694\u7b26\u865f\uff0c\uf974\u542b\u6709\u5206\u9694\u7b26</td></tr><tr><td colspan=\"4\">\u7531\u65bc\u6a5f\uf961\u5206\uf969\u96a8\u8457\u8a9e\u97f3\u4fe1\u865f\uf967\u65b7\uf94f\u7a4d\u53ef\u80fd\u6703\u7522\u751f\u6ea2\uf9ca(Run-Off)\u554f\u984c\uff0c\u56e0\u6b64\uff0c\u53ef\u5728\u91cd\u8a2d\u90e8 \u865f\uff0c\u6211\u5011\u4ee5\u4e0b\uf99c\u65b9\u5f0f\u5b9a\u51fa\u524d\u4e00\uf906\u8a9e\u97f3\u7684\u7d42\u9ede\u908a\u754c\u548c\u5f8c\u4e00\uf906\u8a9e\u97f3\u7684\u8d77\u9ede\u908a\u754c\uff1a (\u4e00)\uf974\u5206\u9694\u7b26\u865f\u6240</td></tr><tr><td colspan=\"4\">\u5206\u6587\uf906\uf9fa\u614b\u5e8f\uf99c\u6642\uff0c\u5c07\uf94f\u7a4d\u7684\u6a5f\uf961\u5206\uf969\u9032\ufa08\u91cd\u8a2d\uff0c\u4ee5\u907f\u514d\u6ea2\uf9ca\u60c5\u6cc1\u767c\u751f\u3002 \u5c0d\u61c9\u7684\u8a9e\u97f3\u4f4d\u7f6e\u542b\u6709\u975c\u97f3\uff0c\u975c\u97f3\u4e4b\u524d\u70ba\u524d\u4e00\uf906\u8a9e\u97f3\u7684\u7d42\u9ede\u908a\u754c\uff0c\u975c\u97f3\u4e4b\u5f8c\u70ba\u5f8c\u4e00\uf906\u8a9e\u97f3\u7684\u8d77\u9ede\u908a</td></tr><tr><td colspan=\"4\">\u754c\uff1b (\u4e8c)\uf974\uf967\u542b\u975c\u97f3\uff0c\u5247\u524d\u4e00\uf906\u8a9e\u97f3\u7684\u7d42\u9ede\u908a\u754c\u548c\u5f8c\u4e00\uf906\u8a9e\u97f3\u7684\u8d77\u9ede\u908a\u754c\u70ba\u540c\u4e00\u908a\u754c\u3002\u53e6\u5916\uff0c</td></tr><tr><td colspan=\"4\">4. \u5be6\u9a57\u8207\u7d50\u679c\u8a0e\uf941 \u7b2c\u4e00\uf906\u8a9e\u97f3\u7684\u8d77\u9ede\u908a\u754c\u548c\u6700\u5f8c\u4e00\uf906\u8a9e\u97f3\u7684\u7d42\u9ede\u908a\u754c\ufa26\u4ee5\uf967\u5305\u62ec\u975c\u97f3\u90e8\u5206\u70ba\u5176\u908a\u754c\u3002</td></tr><tr><td>4.1. \u6e2c\u8a66\u8a9e\uf9be 4.4. \u7d50\u679c\u8207\u8a0e\uf941</td><td/><td/><td/></tr><tr><td colspan=\"4\">\u6211\u5011\u4f7f\u7528\u4e0b\uf99c\u5e7e\u5957\u8a9e\uf9be\uf92d\u9a57\u8b49\u4e0a\u8ff0\u4f5c\u6cd5\uff0c\u4e26\u4ee5\u8a9e\uf906\u908a\u754c\u7684\u6b63\u78ba\uf961\u505a\u70ba\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u7684\u8a55\u4f30\u3002 \u4ee5\u524d\u8ff0\u689d\u4ef6\u9032\ufa08\u5be6\u9a57\uff0c4\u7d44\u8a9e\uf9be\ufa26\u53ef\u4ee5\u5f97\u5230\u6b63\u78ba\u7684\u908a\u754c\uf969\uf97e\uff1bDB1\u548cDB1+MU\u53ef\u5f97\u52301502\u500b\u908a\u754c\uff0cDB2</td></tr><tr><td colspan=\"4\">\u8a9e\uf9be\u4e00(DB1) \uff1a\uf92d\u81ea\u5de5\u7814\u9662\u7684104\u81ea\u52d5\u7e3d\u6a5f\u7cfb\u7d71[4]\u6240\u8490\u96c6\u7684\u4eba\u540d\u8a9e\u97f3\uff0c\u9019\u4e9b\u8a9e\u97f3\ufa26\u662f\u4ee58 KHz\u3001 \u548cDB2+MU\u53ef\u5f97\u5230842\u500b\u908a\u754c\u3002\u5716\u4e03\u986f\u793a4\u7d44\u8a9e\uf9be\u9032\ufa08\u8a9e\u97f3\u6587\uf906\u6821\u6e96\u4e4b\u5f8c\u5f97\u5230\u7684\u908a\u754c\u8207\u6b63\u78ba\u908a\u754c\u5728\uf967</td></tr><tr><td colspan=\"4\">16-bit\u3001Mono\u683c\u5f0f\u6240\uf93f\u88fd\u7684\u96fb\u8a71\u8a9e\u97f3\uff0c\u4e26\u4e14\u53ef\u80fd\u593e\u96dc\u4e00\u4e9b\u80cc\u666f\u96dc\u8a0a\uff0c\u5982\u6253\u5b57\u7684\u8072\u97f3\u3001\u8a71\u7b52\u649e \u540c\u5bb9\u8a31\u8aa4\u5dee\u7684\u908a\u754c\u932f\u8aa4\uf961\u5206\u5e03\u60c5\u5f62\u3002\uf967\u52a0\u80cc\u666f\u97f3\uf914\u8a9e\uf9beDB1\u548cDB2\u4e4b\u5075\u6e2c\u908a\u754c\u8207\u6b63\u78ba\u908a\u754c\u6709\u76f8\u7576\u9ad8</td></tr><tr><td colspan=\"4\">\u64ca\u8072\u6216\u6709\uf96f\u8a71\u7684\u80cc\u666f\u7b49\u3002\u6211\u5011\u5c07\u5176\u4e2d\u7684751\uf906\uf905\u63a5\u6210\u4e00\u7d0423\u520615\u79d2\u7684\u9577\uf905\u8a9e\u97f3\uff0c\u5171\u5305\u542b2247 \u7684\u543b\u5408\ufa01\uff0c\u5c24\u5176\u662fDB1\u8207\u8072\u5b78\u6a21\u578b\u7684\u8a13\uf996\u8a9e\uf9be\u5eab\u6709\u8f03\u4e00\u81f4\u6027\u7684\u8a9e\u97f3\u7279\u6027(\ufa26\u662f\u96fb\u8a71\u8a9e\u97f3)\uff0c\u57280.1</td></tr><tr><td colspan=\"4\">\u500b\u97f3\u7bc0\uff0c\uf906\u5b50\u8207\uf906\u5b50\u4e4b\u9593\u6211\u5011\u4ee5\u4e00\u500b\u5206\u9694\u7b26\u865f\uf92d\u4f5c\u5340\u9694\u3002\u6211\u5011\u5206\u5225\u4ee5\u50b3\u7d71\u7684\u7dad\u7279\u6bd4\u6f14\u7b97\u6cd5\u5b9a \u79d2\u7684\u5bb9\u8a31\u8aa4\u5dee\u4e0b\uff0c\u53ef\u4ee5\u5f97\u5230\u5e7e\u8fd1\u65bc\uf9b2\u932f\u8aa4\u7684\u7d50\u679c(0.07%)\u3002\u52a0\u5165\u80cc\u666f\u97f3\uf914\u8a9e\uf9beDB1+MU\u548cDB2+MU\u4e4b</td></tr><tr><td colspan=\"4\">\u51fa\u9019751\uf906\u4eba\u540d\u8a9e\u97f3\u6bcf\u4e00\uf906\u8a9e\u97f3\u7684\u8a9e\u97f3\u8d77\u9ede\u548c\u7d42\u9ede\u908a\u754c\uff0c\u5373\u53bb\u9664\u975c\u97f3\u90e8\u5206\uff0c\u4e26\u4e14\u6c42\u5f97\u9019\u4e9b\u8a9e \u5075\u6e2c\u908a\u754c\u8207\u6b63\u78ba\u908a\u754c\u96d6\u7136\u6709\u8f03\u5927\u7684\u5dee\uf962\uff0c\u4f46\u662f\u57281\u79d2\u7684\u5bb9\u8a31\u8aa4\u5dee\u4e0b\uff0c\u4ecd\u7136\u53ef\u4ee5\u5f97\u5230\u76f8\u7576\u4f4e\u7684\u908a\u754c</td></tr><tr><td colspan=\"4\">\u97f3\u908a\u754c\u5c0d\u61c9\u9577\uf905\u8a9e\u97f3\u7684\u7d55\u5c0d\u4f4d\u7f6e\u4f5c\u70ba\u6b63\u78ba\u7684\u908a\u754c\u4f4d\u7f6e\uff0c\u5171\u5305\u542b1502\u500b\u908a\u754c\u3002 \u932f\u8aa4\uf961(DB1+MU\uff1a1.73%\uff0cDB2+MU\uff1a0.24%)\u3002\u5176\u4e2d\uff0c\u53ef\u4ee5\u6ce8\u610f\u5230DB1+MU\u7684\u908a\u754c\u932f\u8aa4\uf961\u6bd4DB2+MU\u9ad8\uff0c</td></tr><tr><td colspan=\"4\">\u8a9e\uf9be\u4e8c(DB2) \uff1a\uf92d\u81ea\u6559\u5b78\u7528\u7684\u8a9e\u97f3\u5149\u789f[5]\uff0c\u9019\u4e9b\u8a9e\u97f3\ufa26\u662f\u4ee544.1 KHz\u300116-bit\u3001Stereo\u683c\u5f0f\u5132 \u9019\u662f\u7531\u65bcDB1\u8a9e\uf9be\u5eab\u662f\u7531\uf967\u540c\uf96f\u8a71\u4eba\u7684\u8a9e\u97f3\uf905\u63a5\u800c\u6210\uff0c\u6bcf\u4e00\uf906\u8a9e\u97f3\u7684\u97f3\uf97e\uf967\u56fa\u5b9a\uff0c\u7576\u52a0\u5165\u56fa\u5b9a\u5f37</td></tr><tr><td colspan=\"4\">\u5b58\u3002\u6211\u5011\u53d6\u51fa\u5176\u4e2d4\u6bb5\u97f3\u8ecc\uff0c\u4e26\u4e14\u5c07\u8a9e\u97f3\u683c\u5f0f\u8f49\u63db\u70ba8 KHz\u300116-bit\u3001Mono\u683c\u5f0f\uff0c\u4e4b\u5f8c\uff0c\u5c07\u9019 \ufa01\u7684\u80cc\u666f\u97f3\uf914\u6642\uff0c\u6bcf\u4e00\uf906\u8a9e\u97f3\u7684SNR\u5c31\uf967\u4e00\u5b9a\u662f\u6211\u5011\u6240\u8a2d\u5b9a\u768410 dB\u3002\u800cDB2\u4fc2\uf92d\u81ea\u6559\u5b78\u7528\u7684\u8a9e\u97f3</td></tr><tr><td colspan=\"4\">\u4e9b\u8a9e\u97f3\uf905\u63a5\u6210\u4e00\u7d0423\u520648\u79d2\u7684\u9577\uf905\u8a9e\u97f3\uff0c\u5171\u5305\u542b5175\u500b\u97f3\u7bc0\u3002\u6211\u5011\u4ee5\u4eba\u5de5\u65b9\u5f0f\u5c07\u8a72\u8a9e\u97f3\u8cc7\uf9be \u5149\u789f\uff0c\u96d6\u7136\u4e5f\u6709\uf967\u540c\uf96f\u8a71\u4eba\u7684\u8a9e\u97f3\uff0c\u4f46\u662f\u51fa\u7248\u8005\u70ba\u63a7\u5236\u5176\u8a9e\u97f3\u54c1\u8cea\uff0cDB2\uf9e8\u6bcf\u4e00\uf906\u7684\u97f3\uf97e\u986f\u7136\u662f</td></tr><tr><td colspan=\"4\">\u5206\u6210421\uf906\uff0c\u4e4b\u5f8c\uff0c\u5982\u8a9e\uf9be\u4e00\u7684\u8655\uf9e4\u65b9\u5f0f\uff0c\u63d2\u5165\u5206\u9694\u7b26\u865f\u65bc\uf906\u5b50\u8207\uf906\u5b50\u4e4b\u9593\uff0c\u4e26\u5206\u5225\u5b9a\u51fa\u6bcf \u8f03\u70ba\u5e73\u5747\u7684\uff0c\u9019\u4e5f\u4f7f\u5f97DB2+MU\u7684SNR\u6574\u9ad4\u4e0a\u8f03\u63a5\u8fd1\u65bc\u6211\u5011\u6240\u8a2d\u5b9a\u768410 dB\u3002\u56e0\u6b64\uff0cDB1+MU\u7684\u8a9e\u97f3\u689d</td></tr><tr><td colspan=\"4\">\u4e00\uf906\u8a9e\u97f3\u7684\u8a9e\u97f3\u8d77\u9ede\u548c\u7d42\u9ede\u908a\u754c\u548c\u5176\u6240\u5c0d\u61c9\u9577\uf905\u8a9e\u97f3\u7684\u7d55\u5c0d\u4f4d\u7f6e\u4f5c\u70ba\u6b63\u78ba\u7684\u908a\u754c\u4f4d\u7f6e\uff0c\u5171\u5305 \u4ef6\u986f\u7136\u8f03DB2+MU\u5dee\u4e00\u4e9b\uff0c\u4e5f\u4f7f\u5f97\u5176\u908a\u754c\u932f\u8aa4\uf961\u8f03\u9ad8\u3002</td></tr><tr><td colspan=\"4\">\u542b842\u500b\u908a\u754c\u3002 \u5716\u516b\u662f 4 \u7d44\u8a9e\uf9be\u7684\u6bd4\u5c0d\uf98c\u7a0b\uff0c\u5728 N=40 \u7684\u689d\u4ef6\u4e0b\uff0cDB1 \u548c DB2 \u6bcf\u79d2\u7d04\u8655\uf9e4 20 \u500b\u97f3\u7bc0\uff0c\u4f54\u6574\u9ad4</td></tr></table>",
                "type_str": "table",
                "html": null,
                "num": null
            }
        }
    }
}