Benjamin Aw
Add updated pkl file v3
6fa4bc9
{
"paper_id": "O13-1009",
"header": {
"generated_with": "S2ORC 1.0.0",
"date_generated": "2023-01-19T08:03:21.367747Z"
},
"title": "Singing Voice Synthesis System Based on Time Domain-Pitch Synchronized Overlap and Add",
"authors": [
{
"first": "Ming-Kuan",
"middle": [],
"last": "\u5433\u9298\u51a0",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Sun Yat-Sen University",
"location": {}
},
"email": ""
},
{
"first": "Chia-Ping",
"middle": [],
"last": "Wu",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Sun Yat-Sen University",
"location": {}
},
"email": ""
},
{
"first": "",
"middle": [],
"last": "Chen",
"suffix": "",
"affiliation": {
"laboratory": "",
"institution": "National Sun Yat-Sen University",
"location": {}
},
"email": "cpchen@cse.nsysu.edu.tw"
}
],
"year": "",
"venue": null,
"identifiers": {},
"abstract": "In this study, we propose and implement a concatenation-based singing synthesis system to synthesize the singing voice with background music. We record three different pitches to build our corpus for all syllables. The synthesis informations, including velocity, note number, start time and end time are extracted from the main melody. Runs and riffs information was added into consideration afterward. We use TD-PSOLA to modify the synthesis units in time domain. At last, we add back the background music extracted from MIDI to our synthesis song. We implemented a user interface for users to synthesize songs. This interface can be used to adjust the synthesis songs, for example, adjust the overall pitches in the song, modify syllables, etc. Finally, we evaluate the quality, clarity and similarity of the synthesis songs. The results show that the proposed method achieve better results with simple songs than with fast songs.",
"pdf_parse": {
"paper_id": "O13-1009",
"_pdf_hash": "",
"abstract": [
{
"text": "In this study, we propose and implement a concatenation-based singing synthesis system to synthesize the singing voice with background music. We record three different pitches to build our corpus for all syllables. The synthesis informations, including velocity, note number, start time and end time are extracted from the main melody. Runs and riffs information was added into consideration afterward. We use TD-PSOLA to modify the synthesis units in time domain. At last, we add back the background music extracted from MIDI to our synthesis song. We implemented a user interface for users to synthesize songs. This interface can be used to adjust the synthesis songs, for example, adjust the overall pitches in the song, modify syllables, etc. Finally, we evaluate the quality, clarity and similarity of the synthesis songs. The results show that the proposed method achieve better results with simple songs than with fast songs.",
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"section": "Abstract",
"sec_num": null
}
],
"body_text": [
{
"text": "EQUATION",
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{
"start": 0,
"end": 8,
"text": "EQUATION",
"ref_id": "EQREF",
"raw_str": "\u7684 \u65b9\u5f0f\u4f86\u5408\u6210\u4e2d\u6587\u6b4c\u8072\u3002\u6b64\u6a21\u578b\u662f\u7531\u8a9e\u97f3\u8a0a\u865f\u7684\u8ae7\u6ce2\u90e8\u5206 h(t) \u548c\u566a\u97f3\u90e8\u5206 n(t) \u6240\u7d44 \u6210 \u3002 HNM \u6703 \u5148 \u4f9d \u8a0a \u865f \u7684 \u983b \u8b5c \u8a08 \u7b97 \u51fa \u6700 \u5927 \u7684 \u6709 \u8072 \u983b \u7387 (Maximum Voiced Frequency, MVF) F m (t) \u3002\u983b\u7387\u503c\u5c0f\u65bc MVF \u7684\u983b\u8b5c\u90e8\u4efd\uff0c\u5728HNM\u4e2d\u8996\u70ba\u8ae7\u6ce2\u90e8\u5206\uff0c\u800c\u983b\u7387\u503c\u5927 \u65bc MVF \u7684\u983b\u8b5c\u90e8\u4efd\uff0c\u5728 HNM \u4e2d\u8996\u70ba\u566a\u97f3\u90e8\u4efd\u3002\u8ae7\u6ce2\u90e8\u5206\u70ba\u8a9e\u97f3\u9031\u671f\u8a0a\u865f\u7684\u5206\u91cf\uff0c\u800c \u566a\u97f3\u90e8\u5206\u89e3\u91cb\u4e86\u975e\u9031\u671f\u5206\u91cf\u3002\u9019\u5169\u500b\u5206\u91cf\u5728\u983b\u57df\u4e0a\u662f\u5206\u958b\u7684\uff0c\u5176\u4e2d\u8ae7\u6ce2\u90e8\u5206 h(t) \u5982\u5f0f \u5b50 1 \u6240\u793a\u3002 h(t) = K(t) k=1 a k (t) cos(\u03c6 k (t)),",
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{
"text": "\u5176\u4e2d a k (t) \u548c \u03c6 k (t) \u8868\u793a\u5728\u6642\u9593\u70ba t \u6642\uff0c\u7b2c k \u500b\u5f26\u6ce2\u7684\u632f\u5e45\u548c\u76f8\u4f4d\uff0c K(t) \u5247\u8868\u793a\u6b64\u6642 \u8ae7\u6ce2\u90e8\u4efd\u6240\u5305\u542b\u7684\u8ae7\u6ce2\u500b\u6578\u3002\u6700\u5f8c\uff0c\u5408\u6210\u7684\u8a0a\u865f s(t) \u5c31\u662f\u7531\u8ae7\u6ce2 h(t) \u548c\u566a\u97f3 n(t) \u5169\u90e8\u4efd \u7684\u8a0a\u865f\u503c\u76f8\u52a0\u800c\u5f97\u5230\uff0c\u5982\u5f0f\u5b50 2 \u6240\u793a\u3002 s(t) = h(t) + n(t).",
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{
"text": "(2) ",
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{
"text": "(\u4e09 \u4e09 \u4e09)\u3001 \u3001 \u3001\u7cfb \u7cfb \u7cfb\u7d71 \u7d71 \u7d71\u6982 \u6982 \u6982\u8ff0 \u8ff0 \u8ff0\u53ca \u53ca \u53ca\u7814 \u7814 \u7814\u7a76 \u7a76 \u7a76\u65b9 \u65b9 \u65b9\u5411 \u5411",
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{
"text": "EQUATION",
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"eq_spans": [
{
"start": 0,
"end": 8,
"text": "EQUATION",
"ref_id": "EQREF",
"raw_str": "\u6839\u64da\u8868 1 \u4f86\u89e3\u91cb\u3002\u7531\u5de6\u5230\u53f3\u5206\u5225\u70ba\u6b4c\u8a5e\u8f49\u63db\u5f8c\u7684\u97f3\u7bc0\u3001\u529b\u5ea6\u3001 MIDI \u97f3\u7b26\u7de8\u865f\u548c\u6642 \u9593\u7bc4\u570d\u3002\u529b\u5ea6\u70ba MIDI \u8cc7\u8a0a\u88e1\u7684\u53c3\u6578\uff0c\u5176\u89e3\u91cb\u70ba\u97f3\u7b26\u6240\u6309\u4e0b\u53bb\u7684\u901f\u5ea6\u3002\u6578\u503c\u6108\u9ad8\u8868\u793a\u6309 \u4e0b\u53bb\u7684\u529b\u9053\u6108\u5927\uff0c\u6240\u6f14\u594f\u51fa\u4f86\u7684\u8072\u97f3\u4e5f\u5c31\u6108\u5927\u8072\u3002\u5728\u97f3\u7b26\u7de8\u865f\u7684\u6b04\u4f4d\u88e1\uff0c\u5927\u65bc\u5169\u9805\u4ee3 \u8868\u6b64\u97f3\u7bc0\u6709\u8f49\u97f3\u7684\u73fe\u8c61\u3002\u6642\u9593\u7bc4\u570d\u70ba\u6b64\u97f3\u7bc0\u5728\u6b4c\u66f2\u88e1\u6240\u5728\u7684\u6642\u9593\u4f4d\u7f6e\uff0c\u4ee5\u79d2\u70ba\u55ae\u4f4d\u3002 (\u4e8c \u4e8c \u4e8c)\u3001 \u3001 \u3001\u5408 \u5408 \u5408\u6210 \u6210 \u6210\u55ae \u55ae \u55ae\u5143 \u5143 \u5143\u5efa \u5efa \u5efa\u7acb \u7acb \u7acb \u70ba\u4e86\u80fd\u9304\u88fd\u6240\u6709\u7684\u6b4c\u5531\u97f3\u7bc0\uff0c\u9304\u97f3\u662f\u6839\u64da\u6ce8\u97f3\u7b26\u865f\u6aa2\u5b57\u8868\u4f86\u9304\u88fd\u3002\u9304\u88fd\u7684\u5c0d\u8c61 \u70ba\u4e00\u500b\u559c\u6b61\u5531\u6b4c\uff0c\u4e14\u97f3\u6e96\u4e0d\u7b97\u592a\u5dee\u7684\u7537\u6027\u8a9e\u8005\u3002\u9304\u88fd\u7684\u5730\u9ede\u70ba\u5b89\u975c\u7684\u7814\u7a76\u5ba4\u6216\u8005\u5b89 \u975c\u7684\u5bbf\u820d\u7a7a\u9593\u3002\u9304\u97f3\u8edf\u9ad4\u70ba Goldwave \uff0c\u9304\u97f3\u8a2d\u5099\u70ba Audio-Technica \u7684\u9ea5\u514b\u98a8\uff0c\u578b\u865f \u70ba AT9942 \u3002\u898f\u683c\u63a1\u7528\u983b\u7387 16000Hz \u3001 16bit \u7684 wave \u6a94\u683c\u5f0f\u3002\u70ba\u4e86\u4f7f\u5408\u6210\u51fa\u4f86\u7684\u97f3\u8272 \u66f4\u50cf\u8a9e\u8005\u7684\u8072\u97f3\uff0c\u5206\u5225\u9304\u88fd\u5728 midi \u97f3\u7b26\u7de8\u865f 44\u300150\u300156 \u5de6\u53f3 3 \u7d44\u4e0d\u540c\u7684\u97f3\u9ad8\u4f86\u7576\u4f5c \u5408\u6210\u55ae\u5143\u3002\u3002\u9304\u88fd\u6642\u8207\u9ea5\u514b\u98a8\u7684\u8ddd\u96e2\u70ba 15 \u516c\u5206\uff0c\u97f3\u7bc0\u7684\u767c\u97f3\u76e1\u91cf\u6301\u5e73\u3002\u4e4b\u5f8c\uff0c\u6211\u5011 \u5c07\u9304\u88fd\u597d\u7684 3 \u7d44\u97f3\u6a94\u5206\u5225\u5207\u9664\u524d\u5f8c\u975e\u8a9e\u97f3\u7684\u90e8\u5206\uff0c\u4e26\u6839\u64da\u81ea\u76f8\u95dc\u51fd\u6578 (Auto-Correlation Function, ACF) [11] \u4f86\u9032\u884c\u97f3\u9ad8\u8ffd\u8e64\u3002\u81ea\u76f8\u95dc\u51fd\u6578\u662f\u4e00\u500b\u57fa\u65bc\u6642\u57df\u7684\u65b9\u6cd5\uff0c\u4e3b\u8981\u662f\u4f7f\u7528 \u81ea\u76f8\u95dc\u4f86\u8a08\u7b97\u4e00\u500b\u97f3\u6846\u548c\u672c\u8eab\u97f3\u6846\u7684\u76f8\u4f3c\u5ea6\u3002\u6839\u64da\u5f0f\u5b50 3 \u4f86\u8aaa\u660e\uff0c\u5176\u4e2d s(i) \u70ba\u8a9e\u97f3\u8a0a \u865f\uff0c \u03c4 \u662f\u6642\u9593\u5ef6\u9072\u91cf\u3002\u63a5\u8457\uff0c\u6211\u5011\u53ef\u4ee5\u627e\u51fa\u4e00\u500b\u5408\u7406\u7684 \u03c4 \u503c\uff0c\u5c31\u53ef\u4ee5\u7b97\u51fa\u6b64\u97f3\u6846\u7684\u97f3 \u9ad8\u3002 ac f (\u03c4) = n\u22121\u2212\u03c4 i=0 s(i)s(i + \u03c4),",
"eq_num": "(3)"
}
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"sec_num": null
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{
"text": "\u63db\u53e5\u8a71\u8aaa\uff0c\u81ea\u76f8\u95dc\u51fd\u6578\u7684\u4f5c\u6cd5\u70ba\uff0c\u5c07\u97f3\u6846\u6bcf\u6b21\u5411\u53f3\u5e73\u79fb\u4e00\u9ede\uff0c\u548c\u539f\u672c\u97f3\u6846\u91cd\u758a\u7684 \u90e8\u5206\u505a\u5167\u7a4d\u3002\u91cd\u8907 n \u6b21\u5f8c\u6703\u5f97\u5230 n \u500b\u5167\u7a4d\u503c\uff0c\u6839\u64da\u6b64\u65b9\u5f0f\u53ef\u4ee5\u627e\u5230\u97f3\u9ad8\u9031\u671f (pitch period) \u3002\u63a5\u8457\u7b97\u51fa\u97f3\u7bc0\u5e73\u5747\u7684\u97f3\u9ad8\u9031\u671f\u3002\u6700\u5f8c\u5c07\u5e73\u5747\u7684\u97f3\u9ad8\u9031\u671f\u53d6\u5012\u6578\uff0c\u5c31\u662f\u6b64\u97f3\u7bc0 \u7684\u97f3\u9ad8\u983b\u7387 (pitch frequency)\u3002\u97f3\u9ad8\u983b\u7387\u8f49\u63db\u6210\u97f3\u7b26\u7de8\u865f\u7684\u5f0f\u5b50\u5982 4 \u6240\u793a\u3002\u70ba\u4e86\u80fd\u66f4\u6e96 \u78ba\u7684\u8ffd\u8e64\u97f3\u9ad8\uff0c\u6211\u5011\u5c07\u97f3\u7b26\u7de8\u865f\u53d6\u5230\u5c0f\u6578\u7b2c\u56db\u4f4d\u4f86\u6a19\u8a18\u6bcf\u500b\u9304\u88fd\u97f3\u7bc0\u7684\u540d\u7a31\u3002 \u97f3\u7b26\u7de8\u865f = 69 + 12 * log 2 (\u97f3\u9ad8\u983b\u7387/440). (4) \u56e0\u70ba\u539f\u672c\u9304\u88fd\u7684\u97f3\u7bc0\uff0c\u8072\u97f3\u5927\u5c0f\u4e0d\u4e00\u81f4\uff0c\u6545\u5728\u9019\u88e1\u5c07\u97f3\u91cf\u505a\u6b63\u898f\u5316\u3002\u6211\u5011\u5c07\u97f3\u6846\u8a2d \u70ba 128 \u500b\u53d6\u6a23\u9ede\uff0c\u4e26\u5c0d\u97f3\u7bc0\u6bcf\u500b\u97f3\u6846\u5167\u7684\u503c\uff0c\u53d6\u7d55\u5c0d\u503c\u5f8c\u7d2f\u52a0\u8d77\u4f86\uff0c\u4f86\u7576\u4f5c\u97f3\u91cf\u503c\u3002 \u63a5\u8457\u5728\u9019\u500b\u97f3\u7bc0\u5167\u53d6\u6700\u9ad8\u7684\u97f3\u91cf\u503c\u4f86\u7576\u4f5c\u97f3\u91cf\u6b63\u898f\u5316\u7684\u6a19\u6e96\u3002\u6839\u64da\u5168\u90e8\u5171 1242 \u500b\u97f3 \u7bc0\uff0c\u5176\u6700\u5927\u97f3\u91cf\u503c\u5982\u5716 3 (A) \u6240\u793a\u3002\u5c07\u5176\u6392\u5e8f\u5f8c\u53ef\u4ee5\u767c\u73fe\u5230\uff0c\u6700\u5927\u97f3\u91cf\u503c\u96c6\u4e2d\u5728 20 \u5de6 \u53f3\uff0c\u6545\u6211\u5011\u5c07\u5176\u5b9a\u70ba\u6b63\u898f\u97f3\u91cf\u7684\u6a19\u6e96\u3002 (A) 1242 \u500b\u97f3\u7bc0 (B) \u6839\u64da\u6700\u9ad8\u97f3\u91cf\u503c\u6392\u5e8f \u6bcf \u500b \u97f3 \u7bc0 \u7684 \u6700 \u9ad8 \u97f3 \u91cf \u503c \u6bcf \u500b \u97f3 \u7bc0 \u7684 \u6700 \u9ad8 \u97f3 \u91cf \u503c \u5716 3\u3001 \u6b63\u898f\u97f3\u91cf\u503c\u5206\u6790\u5716 \u6839\u64da\u4ee5\u4e0a\u5206\u6790\u7684\u7d50\u679c\uff0c\u5176\u97f3\u91cf\u6b63\u898f\u7684\u6d41\u7a0b\u5716\u5982\u5716 4 \u6240\u793a\u3002 (A) \u70ba\u539f\u672c\u9304\u88fd\u7684\u97f3\u6a94\uff0c \u4e4b\u5f8c\u5c07\u6bcf\u500b\u97f3\u6846\u5167\u7684\u503c\uff0c\u53d6\u7d55\u5c0d\u503c\u5f8c\u7d2f\u52a0\u8d77\u4f86\u5f97\u5230 (B) \u3002\u63a5\u8457\u6839\u64da\u6700\u5927\u97f3\u91cf\u503c 20 \u4f86\u7e2e \u653e\u6574\u500b\u97f3\u7bc0\u7684\u97f3\u91cf\u503c (C) \uff0c\u6700\u5f8c\u8abf\u6574\u539f\u672c\u7684\u6ce2\u5f62\u4f7f\u4e4b\u6b63\u898f\u5316 (D) \u3002 (A) \u539f\u672c\u6ce2\u5f62 (B) \u7d2f\u52a0\u97f3\u6846\u5167\u7684\u503c\uff0c\u5f97\u5230\u97f3\u91cf\u5716 (D) \u8abf\u6574\u5f8c\u6ce2\u5f62 (C) \u7e2e\u653e\u97f3\u91cf (\u6839\u64da 20 ) \u5716 4\u3001 \u6b63\u898f\u97f3\u91cf\u6d41\u7a0b\u5716",
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"text": "\u5716 5\u3001 \u5408\u6210\u55ae\u5143\u9078\u64c7\u6d41\u7a0b\u5716 \u4e09 \u4e09 \u4e09\u3001 \u3001 \u3001\u5408 \u5408 \u5408\u6210 \u6210 \u6210\u65b9 \u65b9 \u65b9\u6cd5 \u6cd5 \u6cd5 (\u4e00 \u4e00 \u4e00)\u3001 \u3001 \u3001\u97f3 \u97f3 \u97f3\u91cf \u91cf \u91cf\u8abf \u8abf \u8abf\u6574 \u6574 \u6574 \u5728\u505a\u5b8c\u97f3\u91cf\u6b63\u898f\u5316\u4e4b\u5f8c\uff0c\u6211\u5011\u5c31\u53ef\u4ee5\u6839\u64da\u5408\u6210\u8cc7\u8a0a\u6587\u6a94\u4e2d\u7684\u529b\u5ea6\uff0c\u4f86\u8abf\u6574\u6bcf\u500b\u97f3\u7bc0 \u7684\u97f3\u91cf\u5927\u5c0f\u3002\u9019\u88e1\u63a1\u7528\u7684\u662f\u8f03\u70ba\u7c21\u55ae\u7684\u5f0f\u5b50\u5982 5 \u6240\u793a\u3002\u5176\u4e2d\uff0c y[n] \u70ba\u8f38\u5165\u8a0a\u865f x[n] \u97f3 \u91cf\u8abf\u6574\u5f8c\u7684\u8a0a\u865f\uff0c V max \u70ba\u5728\u5408\u6210\u8cc7\u8a0a\u6587\u6a94\u4e2d\u51fa\u73fe\u6700\u591a\u6b21\u7684\u529b\u5ea6\uff0c V i \u70ba\u6b32\u8abf\u6574\u97f3\u91cf\u97f3\u7bc0 \u7684\u529b\u5ea6\u3002\u7d93\u7531\u9019\u6a23\u7684\u65b9\u5f0f\uff0c\u80fd\u8b93\u5408\u6210\u7684\u6b4c\u66f2\u97f3\u91cf\u66f4\u6709\u8b8a\u5316\u3002 y[n] = x[n] * V i V max (5) (\u4e8c \u4e8c \u4e8c)\u3001 \u3001",
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{
"text": "EQUATION",
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"eq_spans": [
{
"start": 0,
"end": 8,
"text": "EQUATION",
"ref_id": "EQREF",
"raw_str": "y[n] = \uf8f1 \uf8f4 \uf8f4 \uf8f2 \uf8f4 \uf8f4 \uf8f3 x[n], if n = 1, ..., (N \u2212 L \u2212 1) x[n] * N\u2212n L , if n = (N \u2212 L), ..., N.",
"eq_num": "(7"
}
],
"section": "",
"sec_num": null
},
{
"text": "(\u4e8c \u4e8c \u4e8c)\u3001 \u3001 \u3001\u4ecb \u4ecb \u4ecb\u9762 \u9762 \u9762\u5be6 \u5be6 \u5be6\u4f5c \u4f5c \u4f5c \u672c\u5c0f\u7bc0\u5be6\u4f5c\u4e00\u500b\u5177\u6709\u914d\u6a02\u4e4b\u6b4c\u5531\u5408\u6210\u7cfb\u7d71\uff0c\u5716 14 \u70ba\u6b4c\u5531\u5408\u6210\u7cfb\u7d71\u4ecb\u9762\u5716\u3002 A \u90e8\u5206 \u70ba\u8f09\u5165\u6b4c\u66f2\u6e05\u55ae\uff1b B \u90e8\u5206\u70ba\u9078\u64c7\u6b4c\u66f2\u548c\u5408\u6210\u7bc4\u570d\uff1b C \u90e8\u5206\u986f\u793a\u6b4c\u8a5e\u3001\u97f3\u7bc0\u3001\u529b\u5ea6\u3001\u97f3 \u7b26\u7de8\u865f\u548c\u6642\u9593\u7bc4\u570d\uff1b D \u90e8\u5206\u70ba\u5408\u6210\u6309\u9215\u7d44\uff1b E \u90e8\u5206\u70ba\u5408\u6210\u6b4c\u66f2\u7684\u6ce2\u5f62\u5716\u3002 B A E D C \u5716 14\u3001 \u6b4c\u5531\u5408\u6210\u7cfb\u7d71\u4ecb\u9762\u5716 \u4e94 \u4e94 \u4e94\u3001 \u3001 \u3001\u5be6 \u5be6 \u5be6\u9a57 \u9a57 \u9a57 \u6b4c\u66f2\u7684\u5408\u6210\u8a55\u4f30\uff0c\u4e3b\u8981\u5206\u70ba\u54c1\u8cea\u3001\u6e05\u6670\u5ea6\u548c\u76f8\u4f3c\u5ea6\u4e09\u500b\u90e8\u4efd\u3002\u54c1\u8cea\u4ee3\u8868\u5408\u6210\u51fa\u4f86\u6b4c \u8072\u54c1\u8cea\u7684\u597d\u58de\uff1b\u6e05\u6670\u5ea6\u4e3b\u8981\u662f\u8a55\u4f30\u5408\u6210\u51fa\u4f86\u7684\u6b4c\u8072\u8a0a\u865f\u807d\u8d77\u4f86\u662f\u5426\u6e05\u695a\u7121\u96dc\u8a0a\uff0c\u4ee5\u53ca \u54ac\u5b57\u7684\u6e05\u695a\u7a0b\u5ea6\uff1b\u76f8\u4f3c\u5ea6\u5247\u662f\u8a55\u4f30\u5408\u6210\u6b4c\u8072\u8207\u539f\u5531\u7684\u63a5\u8fd1\u7a0b\u5ea6\u3002\u8a55\u6e2c\u4eba\u6578\u70ba 10 \u4eba\u3002 \u70ba\u4e86\u8981\u76e1\u91cf\u5206\u6790\u591a\u7a2e\u66f2\u98a8\uff0c\u6545\u5148\u5c07\u6b4c\u66f2\u505a\u5206\u985e\u3002\u7531\u65bc\u6292\u60c5\u985e\u6b4c\u66f2\u8f03\u591a\uff0c\u56e0\u6b64\u9078\u4e86\u5169\u9996 \u4f86\u7576\u4f5c\u8a55\u4f30\u7684\u6b4c\u66f2\uff0c\u5176\u5b83\u5206\u985e\u5404\u9078\u4e00\u9996\u6b4c\u66f2\u3002\u6700\u5f8c\uff0c\u6211\u5011\u5c07\u9078\u64c7\u51fa\u4f86\u7684\u6b4c\u66f2\u7528\u5728 TD- PSOLA \u7cfb\u7d71\u52a0\u5165\u914d\u6a02\u7684\u54c1\u8cea\u8a55\u4f30\u3001\u6e05\u6670\u5ea6\u548c\u76f8\u4f3c\u5ea6\u7684\u8a55\u4f30\u4e0a\uff0c\u5206\u985e\u7684\u7a2e\u985e\u5982\u4e0b\u6240\u793a\u3002 \u2666 \u7ae5\u8b20\uff1a\u9069\u5408\u5b69\u7ae5\u5ff5\u8aa6\u7684\u6b4c\u8b20\u3002 \u2666 \u6c11\u8b20\uff1a\u574a\u9593\u6d41\u50b3\u7684\u6b4c\u8b20\u3002 \u2666 \u6292\u60c5\uff1a\u7bc0\u594f\u6162\uff0c\u4e14\u66f2\u98a8\u6eab\u67d4\u7684\u6b4c\u66f2\u3002 \u2666 \u5feb\u7bc0\u594f\uff1a\u62cd\u5b50\u8f03\u77ed\uff0c\u901f\u5ea6\u8f03\u5feb\u7684\u6b4c\u66f2\u3002 \u2666 \u60b2\u58ef\uff1a\u6b4c\u66f2\u5e36\u6709\u4e00\u9ede\u60b2\u50b7\uff0c\u4e14\u526f\u6b4c\u901a\u5e38\u7d66\u4eba\u6fc0\u6602\u7684\u611f\u89ba\u3002 \u2666 \u4e2d\u570b\u98a8\uff1a\u7279\u6027\u70ba\u7a7f\u63d2\u4e00\u4e9b\u8271\u6df1\u7684\u5b57\u8a5e\u548c\u6587\u8a00\u6587\u3002 \u2666 \u7bc0\u594f\u85cd\u8abf\uff1a\u7279\u6027\u70ba\u6b4c\u66f2\u5e36\u6709\u4e00\u9ede\u6182\u9b31\uff0c\u4e14\u6703\u6709\u91cd\u8907\u7684\u73fe\u8c61\u3002 (\u4e00 \u4e00 \u4e00)\u3001 \u3001 \u3001\u54c1 \u54c1 \u54c1\u8cea \u8cea \u8cea\u8a55 \u8a55 \u8a55\u6e2c \u6e2c",
"cite_spans": [],
"ref_spans": [],
"eq_spans": [],
"section": "",
"sec_num": null
},
{
"text": "Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing(ROCLING 2013)",
"cite_spans": [],
"ref_spans": [],
"eq_spans": [],
"section": "",
"sec_num": null
}
],
"back_matter": [],
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"ref_entries": {
"TABREF0": {
"content": "<table><tr><td/><td>\u6b4c\u8a5e</td><td>\u97f3\u7b26</td><td/></tr><tr><td/><td colspan=\"2\">\u6a02\u8b5c\u7de8\u8f2f\u5668</td><td/></tr><tr><td/><td colspan=\"2\">\u5408\u6210\u6a02\u8b5c</td><td>\u5408\u6210\u5f15\u64ce</td></tr><tr><td>\u6b4c\u624b \u8a9e\u6599\u5eab</td><td colspan=\"2\">\u8a9e\u6599\u9078\u64c7</td><td>\u9023\u63a5</td><td>\u5408\u6210\u8f38\u51fa</td></tr></table>",
"text": "\u4e00 \u4e00 \u4e00\u3001 \u3001 \u3001\u7dd2 \u7dd2 \u7dd2\u8ad6 \u8ad6 \u8ad6 (\u4e00 \u4e00 \u4e00)\u3001 \u3001 \u3001\u7814 \u7814 \u7814\u7a76 \u7a76 \u7a76\u80cc \u80cc \u80cc\u666f \u666f \u666f\u3001 \u3001 \u3001\u76ee \u76ee \u76ee\u7684 \u7684 \u7684 \u8fd1\u5e74\u4f86\uff0c\u96fb\u8166\u7684\u666e\u53ca\u548c\u6548\u80fd\u5927\u5927\u7684\u63d0\u5347\uff0c\u4e5f\u6709\u6108\u4f86\u6108\u591a\u7684\u8a0a\u865f\u8655\u7406\u80fd\u85c9\u7531\u96fb\u8166\u5f97\u5230 \u66f4\u597d\u7684\u6210\u6548\u3002\u5982\u4f55\u5229\u7528\u96fb\u8166\u4f86\u5b8c\u6210\u6b4c\u8072\u5408\u6210\u7cfb\u7d71\uff0c\u9700\u8981\u8003\u616e\u5230\u5169\u500b\u90e8\u5206\u3002\u5176\u4e00\u70ba\u8655\u7406 \u8f38\u5165\u7684\u97f3\u6a02\u8a0a\u865f\uff0c\u5176\u4e8c\u70ba\u6839\u64da\u9019\u4e9b\u97f3\u6a02\u8a0a\u865f\u53bb\u8655\u7406\u6240\u9304\u88fd\u7684\u5408\u6210\u55ae\u5143\uff0c\u4ee5\u4fbf\u5b8c\u6210\u6b4c\u8072 \u5408\u6210\u3002\u6b4c\u8072\u5408\u6210\u7684\u76ee\u7684\uff0c\u662f\u80fd\u5920\u50cf\u4eba\u985e\u4e00\u6a23\u6f14\u5531\u51fa\u6a02\u8b5c\u4e0a\u7684\u65cb\u5f8b\u548c\u6b4c\u8a5e\u3002\u56e0\u6b64\uff0c\u672c\u7814 \u7a76\u7684\u91cd\u9ede\u662f\u5b8c\u6210\u4e00\u500b\u6b4c\u8072\u5408\u6210\u7cfb\u7d71\u3002 (\u4e8c \u4e8c \u4e8c)\u3001 \u3001 \u3001\u76f8 \u76f8 \u76f8\u95dc \u95dc \u95dc\u7814 \u7814 \u7814\u7a76 \u7a76 \u7a76 1\u3001 \u3001 \u3001\u8072 \u8072 \u8072\u97f3 \u97f3 \u97f3\u5408 \u5408 \u5408\u6210 \u6210 \u6210 \u57fa\u9031\u540c\u6b65\u758a\u52a0\u6cd5 (Pitch Synchronous Overlap and Add, PSOLA) [1] \u4e3b\u8981\u662f\u70ba\u4e86\u89e3\u6c7a\u6587 \u5b57\u8f49\u8a9e\u97f3 (Text to Speech, TTS) \u4e0a\u5408\u6210\u54c1\u8cea\u7684\u554f\u984c\uff0c\u4ed6\u540c\u6642\u4e5f\u63d0\u4f9b\u4e86\u97f3\u9ad8\u5347\u964d\u7684\u8655 \u7406\u65b9\u5f0f\u3002\u5176\u6f14\u7b97\u6cd5\u80fd\u76e1\u91cf\u4e0d\u6539\u8b8a\u6ce2\u5f62\u7684\u8f2a\u5ed3\u4f86\u8b8a\u63db\u8a9e\u97f3\u8a0a\u865f\u7684\u9031\u671f\u3002 PSOLA \u6f14 \u7b97\u6cd5\u53ef\u5206\u70ba\u6642\u57df\u4e0a\u57fa\u9031\u540c\u6b65\u758a\u52a0\u6cd5 (Time Domain-Pitch Synchronous Overlap and Add, TD-PSOLA) [2] [3] [4] \u548c\u983b\u57df\u4e0a\u57fa\u9031\u540c\u6b65\u758a\u52a0\u6cd5 (Frequency Domain-Pitch Synchronous Overlap and Add, FD-PSOLA) [5] \u5169\u7a2e\u3002 FD-PSOLA \u662f\u5c07\u8a9e\u97f3\u8a0a\u865f\u8f49\u5230\u983b\u57df\u4e0a\u505a\u8655\u7406\uff0c \u8655\u7406\u5b8c\u4e4b\u5f8c\u518d\u8f49\u56de\u6642\u57df\u4e0a\u3002 TD-PSOLA \u5247\u662f\u904b\u7528\u7a97\u51fd\u6578\u76f4\u63a5\u5728\u6642\u57df\u4e0a\u5c0d\u6ce2\u5f62\u505a\u8655\u7406\u3002 \u800c TD-PSOLA \u7684\u512a\u9ede\u5247\u80fd\u6539\u5584\u5728\u983b\u57df\u6240\u8017\u8cbb\u592a\u591a\u6642\u9593\uff0c\u4ee5\u53ca\u5728\u6642\u57df\u4e0a\u63a5\u5408\u6548\u679c\u592a\u5dee\u7b49 \u554f\u984c\u3002 2\u3001 \u3001 \u3001\u6b4c \u6b4c \u6b4c\u8072 \u8072 \u8072\u5408 \u5408 \u5408\u6210 \u6210 \u6210 \u8a9e\u6599\u5eab\u70ba\u4e3b\u7684\u5408\u6210\u7cfb\u7d71\uff0c\u662f\u5c07\u4e8b\u5148\u9304\u88fd\u597d\u7684\u6b4c\u624b\u8072\u97f3\uff0c\u5206\u6790\u4e26\u5132\u5b58\u5728\u8cc7\u6599\u5eab\u88e1\u3002\u63a5\u8457 \u5229\u7528\u4e32\u63a5\u7684\u65b9\u5f0f\uff0c\u4f86\u7522\u751f\u5408\u6210\u6b4c\u66f2 [6] [7]\u3002\u4f8b\u5982\u7531 YAMAHA \u516c\u53f8\u6240\u958b\u767c\u7684\u5546\u696d\u5316\u8edf \u9ad4 (VOCALOID) [8]\u3002\u5716 1 \u70ba\u6982\u7565\u7684\u7cfb\u7d71\u67b6\u69cb\u5716\u3002\u7531\u5716\u4e2d\u53ef\u77e5\uff0c\u4f7f\u7528\u8005\u53ea\u9700\u8981\u6b4c\u8a5e\u548c\u97f3 \u7b26\u5c31\u53ef\u4ee5\u5408\u6210\u51fa\u6b4c\u66f2\u3002 \u53f0\u7063\u79d1\u6280\u5927\u5b78\u53e4\u9d3b\u708e\u6559\u6388\uff0c\u5728\u8a9e\u97f3\u5408\u6210\uff0c\u6b4c\u624b\u8072\u97f3\u7684\u5408\u6210\uff0c\u4ee5\u53ca\u96fb\u8166\u97f3\u6a02\u65b9\u9762\u4e5f \u6709\u76f8\u95dc\u7684\u7814\u7a76 [9] [10]\u3002\u4e3b\u8981\u63a1\u7528\u8ae7\u6ce2\u52a0\u566a\u97f3\u6a21\u578b (Harmonic plus Noise Model, HNM)",
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"content": "<table><tr><td/><td>\u8cc7\u8a0a\u6587\u6a94.txt</td><td/><td/><td colspan=\"2\">\u8a9e\u6599\u5eab</td></tr><tr><td>\u958b\u59cb</td><td>\u97f3\u7bc0\u3001 \u97f3\u7b26\u7de8\u865f\u3001</td><td>\u97f3\u7bc0\uff1a\u3105\u311a \u97f3\u7b26\u7de8\u865f\uff1a 45</td><td>\u3105\u311a</td><td/><td>\u3105\u311b</td><td>44</td></tr><tr><td/><td/><td/><td>44</td><td>56</td><td>43</td><td>55</td><td>\u2026\u2026</td></tr><tr><td/><td/><td>\u2026</td><td/><td/><td/></tr><tr><td/><td/><td/><td>48</td><td/><td>49</td><td>\u7d50\u675f</td></tr></table>",
"text": "Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing (ROCLING 2013) (\u4e09 \u4e09 \u4e09)\u3001 \u3001 \u3001\u5408 \u5408 \u5408\u6210 \u6210 \u6210\u55ae \u55ae \u55ae\u5143 \u5143 \u5143\u6311 \u6311 \u6311\u9078 \u9078 \u9078 \u6839\u64da\u4e4b\u524d\u6bcf\u500b\u97f3\u7bc0\uff0c\u6240\u9304\u88fd 3 \u7d44\u4e0d\u540c\u97f3\u9ad8\u7684\u97f3\u7b26\u7de8\u865f \uff0c\u6b64\u5c0f\u7bc0\u8aaa\u660e\u5982\u4f55\u4f86\u6311\u9078\u5408\u6210 \u55ae\u5143\u3002\u5728\u8a9e\u6599\u5eab\u88e1\uff0c\u6709 414 \u500b\u97f3\u7bc0\uff0c\u6bcf\u500b\u97f3\u7bc0\u6709 3 \u500b\u4e0d\u540c\u97f3\u7b26\u7de8\u865f\u7684 wave \u97f3\u6a94\u3002\u6bcf\u500b \u97f3\u6a94\u7684\u6a94\u540d\u662f\u6839\u64da\u97f3\u7b26\u7de8\u865f\u4f86\u547d\u540d\u3002\u56e0\u6b64\uff0c\u6839\u64da\u6b32\u5408\u6210\u7684\u97f3\u7b26\u7de8\u865f\uff0c\u4f86\u9078\u53d6\u5dee\u503c\u6700\u5c0f \u7684\u5408\u6210\u55ae\u5143\u3002\u5982\u5716 5 \u6240\u793a\u3002",
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"content": "<table><tr><td colspan=\"5\">Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing (ROCLING 2013)</td></tr><tr><td colspan=\"2\">\u539f\u59cb\u9577\u5ea6</td><td/><td/></tr><tr><td>\u5c3a\u5ea61</td><td>\u2026</td><td>\u5c3a\u5ea62</td><td>\u57fa\u9031\u5206\u6790</td></tr><tr><td/><td/><td/><td/><td>\u57fa\u9031\u6a19\u4f4d</td></tr><tr><td/><td/><td/><td/><td>\u8a9e\u97f3\u7247\u6bb5</td></tr><tr><td/><td/><td/><td>\u57fa\u9031\u79fb\u4f4d</td><td>TD-PSOLA \u57fa\u9031\u79fb\u4f4d</td></tr><tr><td/><td/><td/><td/><td>\u5408\u6210\u57fa\u9031\u6a19\u4f4d</td></tr><tr><td/><td/><td>\u6642\u9593</td><td/></tr><tr><td/><td/><td/><td/><td>\u91cd\u758a\u7d2f\u52a0</td></tr><tr><td colspan=\"3\">\u5716 9\u3001 \u52d5\u614b\u66f4\u6539\u5c3a\u5ea6\u793a\u610f\u5716</td><td colspan=\"2\">\u5716 10\u3001 Sigmoid \u51fd\u6578</td></tr><tr><td colspan=\"3\">\u5716 6\u3001 \u8a9e\u97f3\u8a0a\u865f\u4e2d\u6c42\u53d6\u57fa\u9031\u6a19\u4f4d\u793a\u610f\u5716</td><td colspan=\"2\">\u5716 7\u3001 TD-PSOLA \u793a\u610f\u5716</td></tr><tr><td colspan=\"5\">\u5728\u9032\u884c TD-PSOLA \u4e4b\u524d\uff0c\u8981\u5148\u505a\u8a9e\u97f3\u7684\u57fa\u9031\u6a19\u4f4d (speech pitch mark) \u3002\u8a9e\u97f3\u57fa\u9031\u6a19</td></tr><tr><td colspan=\"5\">\u4f4d\u63d0\u4f9b\u5408\u6210\u968e\u6bb5\u97fb\u5f8b\u8abf\u6574\u4e4b\u8cc7\u8a0a\uff0c\u5176\u7406\u8ad6\u7684\u57fa\u790e\u662f\u5f9e\u4e00\u7d44\u8072\u97f3\u8a0a\u865f\u4e0b\u627e\u51fa\u5168\u57df\u6700\u5927\u503c</td></tr><tr><td colspan=\"5\">\u4e4b\u4f4d\u7f6e\uff0c\u63a5\u8457\u518d\u5f9e\u5de6\u53f3\u5169\u908a\u4f86\u5c0b\u627e\u5340\u57df\u6700\u5927\u503c\u4f4d\u7f6e\uff0c\u5716 6 \u70ba\u57fa\u9031\u6a19\u4f4d\u793a\u610f\u5716\u3002\u6709\u4e86\u57fa</td></tr><tr><td colspan=\"5\">\u9031\u6a19\u4f4d\u7684\u8cc7\u8a0a\u4e4b\u5f8c\uff0c\u5c31\u53ef\u4ee5\u4f86\u9032\u884c TD-PSOLA \u6f14\u7b97\u6cd5\uff0c\u5982\u5716 7 \u6240\u793a\u3002\u5c07\u8a9e\u97f3\u8a0a\u865f\u6839\u64da \u5176\u57fa\u672c\u9031\u671f\u5206\u5272\u6210\u91cd\u758a\u4e14\u8f03\u5c0f\u7684\u8a0a\u865f\uff0c\u63a5\u4e0b\u4f86\u6839\u64da\u6b32\u5408\u6210\u7684\u97f3\u9ad8\u4f86\u8abf\u6574\u5176\u57fa\u9031\u6a19\u4f4d\u3002 \u5716 11\u3001 \u97f3\u7bc0\u5c1a\u672a\u505a\u6f38\u5f31\u4e4b\u983b\u8b5c\u5716 \u5716 12\u3001 \u97f3\u7bc0\u505a\u904e\u6f38\u5f31\u8655\u7406\u7684\u983b\u8b5c\u5716</td></tr><tr><td colspan=\"5\">\u5728\u5169\u5169\u57fa\u9031\u6a19\u4f4d\u4e0a\u4e58\u4e0a\u4e00\u500b\u6f22\u660e\u7a97\u4f86\u91cd\u65b0\u52a0\u6210\uff0c\u6700\u5f8c\u5c07\u5269\u4e0b\u7684\u8a9e\u97f3\u8a0a\u865f\u7d93\u904e\u758a\u52a0\u7684\u65b9</td></tr><tr><td colspan=\"5\">\u5f0f\u91cd\u65b0\u7d50\u5408\u3002\u4f7f\u7528\u9019\u6a23\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4fdd\u6301\u57fa\u9031\u6a19\u4f4d\u4e0a\u4e3b\u8981\u7684\u7279\u5fb5\u3002\u96d6\u7136\u8a0a\u865f\u7684\u9577\u77ed\u8207 \u56e0\u6b64\u6211\u5011\u5982\u679c\u5728\u758a\u52a0\u7684\u904e\u7a0b\u4e2d\u52d5\u614b\u66f4\u6539\u5c3a\u5ea6\u7684\u8a71\uff0c\u5c31\u53ef\u4ee5\u9054\u5230\u8f49\u97f3\u7684\u6548\u679c\uff0c\u5982 \u57fa\u672c\u983b\u7387\u6539\u8b8a\u4e86\uff0c\u4f46\u5c0d\u65bc\u539f\u672c\u983b\u8b5c\u7684\u7834\u58de\u76f8\u5c0d\u6e1b\u5c11\u4e86\u8a31\u591a\uff0c\u97f3\u8272\u4e5f\u4e0d\u592a\u5bb9\u6613\u8b8a\u8cea\u3002\u5728 \u97f3\u9577\u8abf\u6574\u65b9\u9762\uff0c\u5728\u6b64\u61c9\u7528\u7dda\u6027\u6295\u5c04 (linear mapping) \u7684\u539f\u5247\uff0c\u505a\u6307\u6a19\u4f4d\u7f6e\u7684\u5c0d\u61c9\u3002\u9032\u884c \u97f3\u9577\u5ef6\u9577\u6642\uff0c\u5c07\u90e8\u4efd\u5206\u6790\u97f3\u6846\u91cd\u8907\u3002\u82e5\u8981\u7e2e\u77ed\u97f3\u6846\uff0c\u5247\u522a\u9664\u90e8\u5206\u5206\u6790\u97f3\u6846\u5373\u53ef\u3002 (\u4e09 \u4e09 \u4e09)\u3001 \u3001 \u3001\u5f8c \u5f8c \u5f8c\u7e8c \u7e8c \u7e8c\u8655 \u8655 \u8655\u7406 \u7406 \u7406 1\u3001 \u3001 \u3001\u8f49 \u8f49 \u8f49\u97f3 \u97f3 \u97f3\u8655 \u8655 \u8655\u7406 \u7406 \u7406 \u6839\u64da\u5716 8 \u7684 TD-PSOLA \u8b8a\u8abf\u7684\u793a\u610f\u5716\uff0c\u767c\u73fe\u5230\u662f\u6839\u64da\u56fa\u5b9a\u7684\u5c3a\u5ea6\u4f86\u4fee\u6539\u6574\u9ad4\u7684\u97f3\u9ad8\u3002 \u5716 9 f (x) = 1 1 + e \u2212a(x\u2212c) . (6)</td></tr><tr><td colspan=\"2\">\u539f\u59cb\u9577\u5ea6</td><td/><td>\u539f\u59cb\u9577\u5ea6</td></tr><tr><td>\u56fa\u5b9a\u5c3a\u5ea6</td><td>\u66f4\u6539\u9577\u5ea6</td><td/><td>\u66f4\u6539\u9577\u5ea6 \u56fa\u5b9a\u5c3a\u5ea6</td></tr><tr><td colspan=\"5\">\u5c07\u6642\u57df\u7684\u6ce2\u5f62\u8a0a\u865f\u4ee5\u6f22\u660e\u7a97\u5207\u5272\uff0c\u7136\u5f8c\u5206\u5225\u5c0d\u5207\u5272\u51fa\u4f86\u7684\u6ce2\u5f62\u505a\u8655\u7406\uff0c\u518d\u91cd\u758a\u76f8\u52a0\u3002</td></tr><tr><td colspan=\"5\">\u9019\u500b\u65b9\u6cd5\u53ef\u4ee5\u76e1\u91cf\u4e0d\u6539\u8b8a\u6ce2\u5f62\uff0c\u5c07\u8a9e\u97f3\u8a0a\u865f\u7684\u9031\u671f\u62c9\u9577\u6216\u7e2e\u77ed\u3002\u6240\u4ee5\u5408\u6210\u51fa\u4f86\u8072\u97f3\uff0c</td></tr><tr><td colspan=\"5\">\u97f3\u8272\u8207\u539f\u672c\u7684\u8072\u97f3\u4e0d\u6703\u76f8\u5dee\u592a\u5927\u3002\u5728\u54c1\u8cea\u8207\u81ea\u7136\u5ea6\u4e0a\u4e5f\u6709\u4e0d\u932f\u7684\u8868\u73fe\u3002\u56e0\u70ba\u662f\u5728\u6642\u57df TD-PSOLA\u97f3\u9ad8\u8abf\u9ad8\u793a\u610f\u5716 TD-PSOLA\u97f3\u9ad8\u8abf\u4f4e\u793a\u610f\u5716</td></tr><tr><td colspan=\"4\">\u4e0a\u505a\u8a08\u7b97\uff0c\u56e0\u6b64\u8a08\u7b97\u5ea6\u4e5f\u6bd4\u5728\u983b\u57df\u4e0a\u505a\u8655\u7406\u7684\u5408\u6210\u65b9\u5f0f\u4f4e\u3002</td></tr><tr><td/><td/><td colspan=\"2\">\u5716 8\u3001 TD-PSOLA \u8b8a\u8abf\u793a\u610f\u5716</td></tr></table>",
"text": "\u6240\u793a\u3002\u70ba\u4e86\u66f4\u63a5\u8fd1\u771f\u5be6\u7684\u8f49\u97f3\uff0c\u9019\u88e1\u63a1\u7528 Sigmoid \u51fd\u6578\u4f86\u5c0d\u5c3a\u5ea6\u7684\u8b8a\u5316\u4f5c\u8655 \u7406\u3002 Sigmoid \u51fd\u6578\u70ba\u4e00\u500b S \u578b\u51fd\u6578\uff0c\u5176\u5f0f\u5b50\u5982 6 \u6240\u793a\u3002\u5176\u4e2d a \u8868\u793a Sigmoid \u51fd\u6578\u958b\u53e3\u7684 \u65b9\u5411\uff0c c \u70ba\u504f\u79fb\u503c\u3002\u57fa\u672c\u4e0a\u5c31\u662f\u6839\u64da\u97f3\u7bc0\u7684\u9577\u5ea6\u548c\u8f49\u97f3\u97f3\u9ad8\u7684\u5dee\u503c\u4f86\u505a\u8abf\u6574\u3002\u5716 10 \u70ba \u5728 Matlab \u4e2d\u7684 Sigmoid \u51fd\u6578\uff0c\u5728\u9019\u88e1\u5c07\u53c3\u6578 a \u8a2d\u5b9a\u70ba 0.3 \u4f86\u505a\u8f49\u97f3\u7684\u8655\u7406\u3002",
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"content": "<table><tr><td colspan=\"4\">Proceedings of the Twenty-Fifth Conference on Computational Linguistics and Speech Processing (ROCLING 2013)</td></tr><tr><td colspan=\"4\">\u9996\u5148\u6703\u8f09\u5165\u6b4c\u66f2\u6e05\u55ae\uff0c\u4e4b\u5f8c\u4f7f\u7528\u8005\u53ef\u4ee5\u9078\u64c7\u6b32\u5408\u6210\u7684\u6b4c\u66f2\u548c\u6b32\u5408\u6210\u7684\u7bc4\u570d\u3002\u7d93\u7531\u4f7f</td></tr><tr><td colspan=\"4\">\u7528\u8005\u6240\u9078\u64c7\u7684\u6b4c\u66f2\uff0c\u7cfb\u7d71\u6703\u53bb\u8cc7\u6599\u5eab\u627e\u51fa\u5408\u6210\u7684\u8cc7\u8a0a\u6587\u6a94\u3001\u6b4c\u8a5e\u548c\u914d\u6a02\u97f3\u6a94\u3002\u63a5\u8457\u6839</td></tr><tr><td colspan=\"3\">\u64da\u5176\u8cc7\u8a0a\u986f\u793a\u6b4c\u8a5e\u3001\u97f3\u7bc0\u3001\u529b\u5ea6\u3001\u97f3\u7b26\u7de8\u865f\u548c\u6642\u9593\u7bc4\u570d\u3002</td></tr><tr><td colspan=\"4\">\u5408\u6210\u968e\u6bb5\u7684\u6d41\u7a0b\u5716\u5982\u5716 13 \u6240\u793a\u3002\u4e00\u958b\u59cb\u6703\u6839\u64da\u6240\u9078\u7684\u6b4c\u66f2\uff0c\u627e\u51fa\u5176\u6b4c\u66f2\u8cc7\u6599\u593e\u5e95</td></tr><tr><td colspan=\"4\">\u4e0b\u7684\u5408\u6210\u8cc7\u8a0a\u6587\u6a94\uff0c\u88e1\u9762\u7684\u8a0a\u606f\u5305\u62ec\u6b4c\u66f2\u4e2d\u6bcf\u500b\u97f3\u7bc0\u7684\u8a9e\u8a00\u3001\u529b\u5ea6\u3001\u97f3\u7b26\u7de8\u865f\u3001\u958b\u59cb</td></tr><tr><td colspan=\"4\">\u6642\u9593\u548c\u7d50\u675f\u6642\u9593\u3002\u4e00\u958b\u59cb\u6703\u5c07\u7b2c\u4e00\u500b\u97f3\u7b26\u7de8\u865f\u5b9a\u4f4d\u5728 48 \u223c 60 \u4e4b\u9593\uff0c\u5176\u9918\u97f3\u7bc0\u7684\u97f3\u7b26\u7de8</td></tr><tr><td colspan=\"4\">\u865f\u6839\u64da\u5176\u5dee\u503c\u4f86\u505a\u8abf\u6574\u3002\u9019\u88e1\u63d0\u4f9b\u4e86\u53ef\u4ee5\u4fee\u6539\u5408\u6210\u8cc7\u8a0a\u7684\u529f\u80fd\uff0c\u5305\u62ec\u4e86\u97f3\u7bc0\u7684\u4fee\u6539\u548c</td></tr><tr><td colspan=\"4\">\u6574\u9ad4\u97f3\u7b26\u7684\u4fee\u6539\u3002\u78ba\u5b9a\u5b8c\u5408\u6210\u8cc7\u8a0a\u4e4b\u5f8c\uff0c\u7cfb\u7d71\u6703\u6839\u64da\u97f3\u7bc0\u7684\u9806\u5e8f\uff0c\u4f9d\u5e8f\u53bb\u97f3\u7bc0\u8a9e\u6599\u5eab</td></tr><tr><td colspan=\"4\">\u5c0b\u627e\u5408\u9069\u7684\u5408\u6210\u55ae\u5143\u9032\u884c\u5408\u6210\u3002\u63a5\u8457\u8abf\u6574\u97f3\u91cf\u5927\u5c0f\uff0c\u7136\u5f8c\u5c07\u8a0a\u865f\u7d93\u7531 TD-PSOLA \u4f86\u8b8a</td></tr><tr><td colspan=\"4\">\u63db\u97f3\u9ad8\u548c\u9577\u5ea6\uff0c\u82e5\u6709\u8f49\u97f3\u7684\u60c5\u5f62\u767c\u751f\u5247\u505a\u8f49\u97f3\u7684\u8655\u7406\u3002\u63a5\u8457\u5c0d\u6bcf\u500b\u97f3\u7bc0\u505a\u6f38\u5f31\u8655\u88e1\uff0c</td></tr><tr><td colspan=\"4\">\u7136\u5f8c\u6839\u64da\u6587\u6a94\u88e1\u7684\u6642\u9593\u8cc7\u8a0a\u5c07\u5408\u6210\u7684\u97f3\u6a94\u4e32\u63a5\u8d77\u4f86\u3002\u6700\u5f8c\u9019\u88e1\u63d0\u4f9b\u4e86\u52a0\u5165\u914d\u6a02\u7684\u529f</td></tr><tr><td colspan=\"4\">\u80fd\uff0c\u914d\u6a02\u97f3\u6a94\u662f\u7531 midi \u4e2d\u62bd\u53d6\u51fa\u4f86\u4e26\u5c07\u5408\u6210\u6b4c\u66f2\u6574\u6279\u5c0d\u61c9\u5230\u914d\u6a02\u4e0a\uff0c\u4e26\u4e14\u53ef\u4ee5\u8abf\u6574\u914d</td></tr><tr><td>\u6a02\u7684\u97f3\u91cf\u5927\u5c0f\u3002</td><td/><td/></tr><tr><td/><td>\u958b\u59cb</td><td/></tr><tr><td/><td>\u9078\u64c7\u7684\u6b4c\u66f2</td><td>\u8cc7\u8a0a\u6587\u6a94.txt</td></tr><tr><td/><td/><td>\u97f3\u7bc0\u3001</td></tr><tr><td/><td/><td>\u8a9e\u8a00\u3001</td></tr><tr><td/><td>\u5408\u6210\u8cc7\u8a0a</td><td>\u529b\u5ea6\u3001</td></tr><tr><td/><td/><td>\u97f3\u7b26\u7de8\u865f\u3001</td></tr><tr><td>\u4fee\u6539\u6574\u9ad4\u97f3\u7b26\u3001</td><td/><td>\u6642\u9593\u7bc4\u570d\u3002</td></tr><tr><td>\u4fee\u6539\u97f3\u7bc0</td><td/><td/></tr><tr><td>\u662f</td><td>\u662f\u5426 \u4fee\u6539</td><td/></tr><tr><td/><td>\u8cc7\u8a0a \u5426</td><td>\u7522\u751f\u6ce2\u5f62</td></tr><tr><td/><td/><td>\u52a0\u5165\u914d\u6a02</td></tr><tr><td>\u97f3\u7bc0\u8a9e\u6599\u5eab</td><td>\u5408\u6210\u55ae\u5143\u6311\u9078</td><td/></tr><tr><td/><td>\u529b\u5ea6\u8655\u7406</td><td>\u8abf\u6574 \u914d\u6a02 \u97f3\u91cf</td><td>\u662f</td></tr><tr><td/><td/><td>\u5426</td></tr><tr><td/><td>\u6ce2\u5f62\u5408\u6210</td><td/></tr><tr><td/><td/><td>\u5177\u4f34\u594f\u7684\u5408\u6210\u6b4c\u66f2</td></tr><tr><td/><td>\u97f3\u7bc0\u6f38\u5f31\u8655\u7406</td><td/></tr><tr><td/><td/><td>\u7d50\u675f</td></tr><tr><td/><td>\u97f3\u7bc0\u4f9d\u5e8f\u8655\u7406</td><td/></tr><tr><td/><td colspan=\"2\">\u5716 13\u3001 \u5408\u6210\u968e\u6bb5\u6d41\u7a0b\u5716</td></tr></table>",
"text": "\u5176\u4e2d N \u70ba\u97f3\u7bc0\u7684\u9577\u5ea6\uff0c L \u70ba\u6f38\u5f31\u7684\u9577\u5ea6\uff0c\u7bc4\u570d\u70ba 1, ..., (N \u2212 2) \u3002\u7d93\u7531\u6f38\u5f31\u7684\u65b9\u5f0f\u8655 \u7406\u5b8c\u4e4b\u5f8c\uff0c\u97f3\u7bc0\u4e32\u806f\u4e4b\u5f8c\u7684\u96dc\u8a0a\u6709\u6240\u6539\u5584\uff0c\u5982\u5716 12 \u6240\u793a\u3002 \u56db \u56db \u56db\u3001 \u3001 \u3001\u7cfb \u7cfb \u7cfb\u7d71 \u7d71 \u7d71\u5be6 \u5be6 \u5be6\u4f5c \u4f5c \u4f5c (\u4e00 \u4e00 \u4e00)\u3001 \u3001 \u3001\u7cfb \u7cfb \u7cfb\u7d71 \u7d71 \u7d71\u6d41 \u6d41 \u6d41\u7a0b \u7a0b \u7a0b",
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},
"TABREF5": {
"content": "<table><tr><td colspan=\"3\">\u6a02\u52a0\u5230\u5408\u6210\u6b4c\u66f2\uff0c\u4e26\u4e14\u6bd4\u8f03\u7d50\u679c\u3002</td><td/><td/><td/><td/><td/><td/></tr><tr><td colspan=\"9\">\u9996\u5148\uff0c\u6211\u5011\u5148\u505a\u6c92\u6709\u914d\u6a02\u7684\u6bd4\u8f03\u5be6\u9a57\u3002\u4e00\u958b\u59cb\u6211\u5011\u8b93\u53d7\u6e2c\u8005\u807d\u539f\u5531\uff0c\u4e26\u5c07\u5176\u5b9a \u70ba 5 \u5206\u3002\u63a5\u8457\uff0c\u5c07\u5408\u6210\u6b65\u9a5f\u4e2d\u7684\u8f49\u97f3\u8655\u7406\u3001\u97f3\u7bc0\u7684\u4e32\u63a5\u8655\u7406\u3001\u97f3\u91cf\u6b63\u898f\u5316\u8655\u7406\u548c\u529b \u5ea6\u8655\u7406\u62ff\u6389\uff0c\u4e26\u4e14\u53ea\u4fdd\u7559\u4e00\u7d44\u97f3\u9ad8 (\u97f3\u7b26\u7de8\u865f 50 \u5de6\u53f3) \u4f86\u7576\u4f5c 1 \u5206 (baseline) \u7684\u8a55\u6e2c \u6a19\u6e96\u3002\u7136\u5f8c\u8b93\u53d7\u6e2c\u8005\u807d\u5408\u6210\u51fa\u4f86\u7684\u6b4c\u8072 (TD-PSOLA) \u4e26\u7d66\u4e88\u5206\u6578\u3002\u63a5\u8457\uff0c\u6211\u5011\u9032\u884c \u6b4c\u66f2\u52a0\u4e0a\u914d\u6a02\u7684\u5be6\u9a57\u3002\u9996\u5148\u8b93\u53d7\u6e2c\u8005\u807d\u539f\u5531\u52a0\u4e0a\u914d\u6a02\uff0c\u4e5f\u5c07\u5176\u5b9a\u70ba 5 \u5206\uff0c\u7136\u5f8c\u5c07\u4e4b \u524d baseline \u7684\u6b4c\u66f2\u4e5f\u52a0\u4e0a\u914d\u6a02\u4e26\u8a55\u70ba 1 \u5206\uff0c\u6700\u5f8c\u8b93\u53d7\u6e2c\u8005\u807d\u53d6\u5408\u6210\u52a0\u914d\u6a02\u7684\u6b4c\u8072\uff0c\u4e26\u7d66 \u4e88\u5206\u6578\u3002 \u8868 2\u3001 \u54c1\u8cea\u8a55\u5206\u8868 \u985e\u5225 \u512a\u79c0 \u5f88\u597d \u666e\u901a \u4e0d\u597d \u7cdf\u7cd5 \u5206\u6578 5 4 3 2 1 TD-PSOLA \u7684\u54c1\u8cea\u8a55\u6e2c\u7d50\u679c\u5982\u8868 3 \u6240\u793a\u3002\u6574\u9ad4\u4e0a\u4f86\u8aaa\uff0c\u52a0\u5165\u914d\u6a02\u5f8c\u7684\u5e73\u5747\u5206\u6578\u6bd4\u672a \u52a0\u5165\u914d\u6a02\u8981\u4f86\u7684\u9ad8 0.4 \u5206\u3002\u5176\u89e3\u91cb\u70ba\u5728\u4eba\u985e\u7684\u807d\u89ba\u4e0a\uff0c\u52a0\u5165\u914d\u6a02\u53ef\u4ee5\u7e2e\u77ed\u548c\u539f\u5531\u52a0\u4e0a\u914d \u6a02\u7684\u5dee\u8ddd\u3002 \u8868 3\u3001 \u54c1\u8cea\u8a55\u6e2c\u8868 \u7de8\u865f \u66f2\u98a8 \u6b4c\u66f2\u7247\u6bb5 \u672a\u52a0\u5165\u914d\u6a02 \u6709\u52a0\u5165\u914d\u6a02 \u539f\u5531 baseline \u5408\u6210 \u539f\u5531 baseline \u5408\u6210 1 \u7ae5\u8b20 \u6355\u9b5a\u6b4c 5 1 3.2 5 1 3.6 2 \u6c11\u8b20 \u8309\u8389\u82b1 5 1 2.7 5 1 3.8 3 \u6292\u60c5 \u5929\u9ed1\u9ed11 5 1 1.9 5 1 2.5 4 \u6292\u60c5 \u5929\u9ed1\u9ed12 5 1 1.8 5 1 1.9 5 \u6292\u60c5 \u7d05\u8c461 5 1 2.4 5 1 2.7 6 \u6292\u60c5 \u7d05\u8c462 5 1 2.5 5 1 2.6 7 \u5feb\u7bc0\u594f \u65b0\u9d1b\u9d26\u8774\u8776\u59221 5 1 2.1 5 1 2.3 8 \u5feb\u7bc0\u594f 5 1 2.6 5 1 2.7 \u65b0\u9d1b\u9d26\u8774\u8776\u59222 \u5408\u6210\u6b4c\u66f2\u6e05\u6670\u5ea6\u7684\u8a55\u6e2c\u7d50\u679c\u5982\u8868 4 \u6240\u793a\uff1b\u6e05\u6670\u5ea6\u7684\u8a55\u6e2c\u91cd\u9ede\u70ba\u6b4c\u8072\u8a0a\u865f\u662f\u5426\u6e05\u695a \u7121\u96dc\u8a0a\uff0c\u548c\u54ac\u5b57\u7684\u6e05\u695a\u7a0b\u5ea6\u3002\u5f9e\u8868\u4e2d\u6211\u5011\u53ef\u4ee5\u770b\u5230\u3010\u6355\u9b5a\u6b4c\u3011\u548c\u3010\u8309\u8389\u82b1\u3011\u7684\u5206\u6578\u662f \u8f03\u9ad8\u7684\u3002\u4f46\u662f\u5728\u5176\u5b83\u6b4c\u66f2\u65b9\u9762\uff0c\u5206\u6578\u660e\u986f\u7684\u8f03\u70ba\u4f4e\u843d\u3002\u6839\u64da\u3010\u65b0\u9d1b\u9d26\u8774\u8776\u59221\u3011\u9019\u9996 \u6b4c\u66f2\u4f86\u5206\u6790\u5176\u539f\u56e0\uff0c\u672c\u7cfb\u7d71\u6c92\u6709\u505a\u97f3\u7bc0\u4e0a\u5b50\u97f3\u548c\u6bcd\u97f3\u7684\u5ef6\u9577\u8655\u7406\uff0c\u4f7f\u5f97\u67d0\u4e9b\u97f3\u7bc0\u5728\u7d93 \u7531TD-PSOLA\u7684\u904e\u7a0b\u4e2d\uff0c\u5c11\u4e86\u91cd\u8981\u7684\u767c\u97f3\u8cc7\u8a0a\u3002\u56e0\u6b64\uff0c\u82e5\u662f\u5408\u6210\u7684\u97f3\u7bc0\u8f03\u539f\u672c\u7684\u5408\u6210 \u55ae\u5143\u77ed\uff0c\u6703\u8b93\u5408\u6210\u7684\u8072\u97f3\u807d\u8d77\u4f86\u4e0d\u6e05\u695a\u3002\u4e00\u65b9\u9762\u53ef\u80fd\u7684\u539f\u56e0\u70ba\uff0c\u97f3\u7bc0\u7684\u8d77\u59cb\u4fdd\u7559\u7684\u7a7a \u767d\u8a0a\u865f\u592a\u77ed\uff0c\u9020\u6210\u4e32\u63a5\u5408\u6210\u4e0a\u6709\u96dc\u8a0a\u7684\u7522\u751f\u3002 \u8868 4\u3001 \u6e05\u6670\u5ea6\u548c\u76f8\u4f3c\u5ea6\u8a55\u6e2c\u8868 \u7de8\u865f \u66f2\u98a8 \u6b4c\u66f2\u7247\u6bb5 \u6e05\u6670\u5ea6\u8a55\u5206 \u76f8\u4f3c\u5ea6\u8a55\u5206 1 \u7ae5\u8b20 \u6355\u9b5a\u6b4c 3.8 3.6 2 \u6c11\u8b20 \u8309\u8389\u82b1 3.2 3 3 \u6292\u60c5 \u5929\u9ed1\u9ed11 2.5 2.1 4 \u6292\u60c5 \u5929\u9ed1\u9ed12 2.1 1.9 5 \u6292\u60c5 \u7d05\u8c461 2.1 2.3 6 \u6292\u60c5 \u7d05\u8c462 2.8 2.7 7 \u5feb\u7bc0\u594f \u65b0\u9d1b\u9d26\u8774\u8776\u59221 1.9 2 8 \u5feb\u7bc0\u594f \u65b0\u9d1b\u9d26\u8774\u8776\u59222 2.8 3.2 9 \u60b2\u58ef \u6211\u5011\u7684\u611b1 2.3 2.2 10 \u60b2\u58ef \u6211\u5011\u7684\u611b2 3.1 3.3 11 \u60b2\u58ef \u6211\u5011\u7684\u611b3 2.9 2.6 12 \u4e2d\u570b\u98a8 \u9752\u82b1\u74f71 2.1 2.5 13 \u4e2d\u570b\u98a8 \u9752\u82b1\u74f72 2 2 14 \u7bc0\u594f\u85cd\u8abf \u9f8d\u6372\u98a8 2.3 1.8 \u5e73\u5747 2.6 2.5 \u66f2\u6574\u9ad4\u4e0a\u7684\u97f3\u7b26\u7de8\u865f\u548c\u97f3\u7bc0\u3002\u6b4c\u66f2\u7684\u5408\u6210\u4e2d\uff0c\u5305\u62ec\u4e86\u5408\u6210\u55ae\u5143\u7684\u6311\u9078\u3001\u97f3\u91cf\u6b63\u898f\u3001\u529b \u5ea6\u8655\u7406\u3001\u97f3\u7bc0\u9023\u63a5\u6642\u6f38\u5f31\u7684\u8655\u7406\u548c\u5408\u6210\u6642\u9593\u7684\u5c0d\u61c9\u7b49\u7b49\uff0c\u6700\u5f8c\u5c07\u7522\u751f\u51fa\u4f86\u7684\u5408\u6210\u6b4c\u8072 \u8207\u914d\u6a02\u540c\u6b65\u7d50\u5408\u3002\u63a5\u8457\uff0c\u5229\u7528\u4e3b\u89c0\u8a55\u6e2c\u65b9\u5f0f\u4f86\u5206\u6790\u6b64\u7cfb\u7d71\u7684\u512a\u3001\u7f3a\u9ede\u4e26\u505a\u6539\u9032\u3002\u54c1\u8cea \u8a55\u4f30\u65b9\u9762\uff0c\u4e32\u63a5\u5f0f\u7684\u5408\u6210\u9084\u662f\u6709\u4e00\u5b9a\u7a0b\u5ea6\u7684\u8868\u73fe\uff0c\u5c24\u5176\u662f\u5728\u52a0\u4e86\u914d\u6a02\u4e4b\u5f8c\uff0c\u5206\u6578\u5927\u90e8 \u5206\u5448\u73fe\u4e0a\u5347\u7684\u60c5\u5f62\u3002\u6e05\u6670\u5ea6\u8a55\u4f30\u65b9\u9762\uff0c\u7531\u65bc\u6c92\u6709\u505a\u97f3\u7bc0\u4e0a\u5b50\u97f3\u548c\u6bcd\u97f3\u7684\u8655\u7406\uff0c\u9664\u4e86\u67d0 \u4e9b\u6b4c\u66f2\u8868\u73fe\u8f03\u597d\u4e4b\u5916\uff0c\u5176\u5b83\u6b4c\u66f2\u5c31\u8868\u73fe\u7684\u666e\u666e\u901a\u901a\u3002\u76f8\u4f3c\u5ea6\u8a55\u4f30\u65b9\u9762\uff0c\u6709\u4e9b\u6b4c\u66f2\u6c92\u6709 \u8f49\u97f3\u4e0a\u7684\u8868\u73fe\u6703\u9020\u6210\u5206\u6578\u8f03\u70ba\u4f4e\u843d\u3002\u53e6\u5916\uff0c\u672c\u7cfb\u7d71\u6c92\u505a\u9023\u97f3\u7684\u8655\u7406\uff0c\u6703\u4f7f\u5f97\u5408\u6210\u51fa\u4f86 \u7684\u6b4c\u8072\u4e0d\u50cf\u771f\u4eba\u6240\u6f14\u5531\u7684\u6b4c\u8072\u3002\u5728\u8f49\u97f3\u3001\u632f\u97f3\u6216\u986b\u97f3\u7b49\u5531\u8154\u7684\u90e8\u5206\uff0c\u56e0\u70ba\u8457\u624b\u7684\u8a9e\u97f3 \u8cc7\u6599\u4e26\u4e0d\u662f\u90a3\u9ebc\u7684\u591a\uff0c\u5c07\u4f86\u5982\u679c\u80fd\u8490\u96c6\u5230\u66f4\u591a\u8cc7\u6599\u4f86\u9032\u884c\u5206\u6790\uff0c\u61c9\u8a72\u80fd\u4f7f\u7cfb\u7d71\u66f4\u52a0\u5b8c \u5584\u3002\u6700\u5f8c\uff0c\u672c\u7814\u7a76\u63d0\u51fa\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u63a8\u5ee3\u5230\u5176\u4ed6\u8a9e\u8a00\u7684\u6b4c\u8072\u5408\u6210\uff0c\u4e5f\u53ef\u4ee5\u61c9\u7528\u5728\u54fc\u5531 (\u4e09 \u4e09 \u4e09)\u3001 \u7684\u6b4c\u8a5e\u548c\u6240\u5c0d\u61c9\u7684\u97f3\u7bc0\u3002\u6839\u64da\u672c\u7cfb\u7d71\uff0c\u4f7f\u7528\u8005\u53ef\u4ee5\u9078\u64c7\u60f3\u8981\u5408\u6210\u7684\u6b4c\u66f2\uff0c\u4e26\u4e14\u4fee\u6539\u6b4c \u7684\u6b4c\u5531\u5408\u6210\u3002</td></tr><tr><td>9</td><td>\u60b2\u58ef</td><td>\u6211\u5011\u7684\u611b1</td><td>5</td><td>1</td><td>2.2</td><td>5</td><td>1</td><td>2.5</td></tr><tr><td>10</td><td>\u60b2\u58ef</td><td>\u6211\u5011\u7684\u611b2</td><td>5</td><td>1</td><td>2.9</td><td>5</td><td>1</td><td>3.3</td></tr><tr><td>11</td><td>\u60b2\u58ef</td><td>\u6211\u5011\u7684\u611b3</td><td>5</td><td>1</td><td>2.7</td><td>5</td><td>1</td><td>3.1</td></tr><tr><td>12</td><td>\u4e2d\u570b\u98a8</td><td>\u9752\u82b1\u74f71</td><td>5</td><td>1</td><td>2.5</td><td>5</td><td>1</td><td>3.3</td></tr><tr><td>13</td><td>\u4e2d\u570b\u98a8</td><td>\u9752\u82b1\u74f72</td><td>5</td><td>1</td><td>2</td><td>5</td><td>1</td><td>2.7</td></tr><tr><td>14</td><td>\u7bc0\u594f\u85cd\u8abf</td><td>\u9f8d\u6372\u98a8</td><td>5</td><td>1</td><td>1.9</td><td>5</td><td>1</td><td>2.2</td></tr><tr><td/><td>\u5e73\u5747</td><td/><td>5</td><td>1</td><td>2.4</td><td>5</td><td>1</td><td>2.8</td></tr></table>",
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