|
{ |
|
"paper_id": "O06-1007", |
|
"header": { |
|
"generated_with": "S2ORC 1.0.0", |
|
"date_generated": "2023-01-19T08:07:02.174098Z" |
|
}, |
|
"title": "\u4e00\u7a2e\u7528\u65bc\u7db2\u8def\u96fb\u8a71\u4e4b\u907a\u5931\u5c01\u5305\u88dc\u511f\u65b9\u6cd5 A Packet Loss Concealment Method for Voice over IP", |
|
"authors": [ |
|
{ |
|
"first": "\u53e4\u9d3b\u708e", |
|
"middle": [], |
|
"last": "\u9673\u4f73\u65b0", |
|
"suffix": "", |
|
"affiliation": { |
|
"laboratory": "", |
|
"institution": "\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb National Taiwan University of Science and Technology", |
|
"location": { |
|
"settlement": "Taipei", |
|
"country": "Taiwan" |
|
} |
|
}, |
|
"email": "" |
|
}, |
|
{ |
|
"first": "Hung-Yan", |
|
"middle": [], |
|
"last": "Gu", |
|
"suffix": "", |
|
"affiliation": { |
|
"laboratory": "", |
|
"institution": "\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb National Taiwan University of Science and Technology", |
|
"location": { |
|
"settlement": "Taipei", |
|
"country": "Taiwan" |
|
} |
|
}, |
|
"email": "" |
|
}, |
|
{ |
|
"first": "Zia-Sin", |
|
"middle": [], |
|
"last": "Chen", |
|
"suffix": "", |
|
"affiliation": { |
|
"laboratory": "", |
|
"institution": "\u570b\u7acb\u53f0\u7063\u79d1\u6280\u5927\u5b78\u8cc7\u5de5\u7cfb National Taiwan University of Science and Technology", |
|
"location": { |
|
"settlement": "Taipei", |
|
"country": "Taiwan" |
|
} |
|
}, |
|
"email": "" |
|
} |
|
], |
|
"year": "", |
|
"venue": null, |
|
"identifiers": {}, |
|
"abstract": "", |
|
"pdf_parse": { |
|
"paper_id": "O06-1007", |
|
"_pdf_hash": "", |
|
"abstract": [], |
|
"body_text": [ |
|
{ |
|
"text": "\u5728 \u7db2 \u8def \u96fb \u8a71 \u7684 \u61c9 \u7528 \u88e1 \uff0c \u8a31 \u591a \u6a19 \u6e96 \u7684 \u8a9e \u97f3 \u7de8 \u78bc \u65b9 \u6cd5 \u90fd \u662f \u8a2d \u5b9a \u53d6 \u6a23 \u7387 \u70ba 8,000Hz\uff0c\u4e26\u4e14\u5c01\u5305\u7684\u9577\u5ea6\u6700\u5e38\u88ab\u8a2d\u5b9a\u4f7f\u7528\u7684\u662f 20ms [11]\uff0c\u56e0\u6b64\u672c\u6587\u91dd\u5c0d 20ms (160 \u500b\u6a23\u672c\u9ede)\u7684\u60c5\u6cc1\u7814\u7a76\u57fa\u9031\u9577\u5ea6\u7684\u5075\u6e2c\u554f\u984c\uff0c\u6240\u4f7f\u7528\u4e4b\u5075\u6e2c\u65b9\u6cd5\u4fc2\u57fa\u65bc\u6ce2\u5f62 \u76f8\u4f3c\u6027\u7684\u91cf\u6e2c\uff0c\u5f9e\u540c\u4e00\u500b\u5c01\u5305\u7684\u8a9e\u97f3\u6a23\u672c\u4e2d\uff0c\u9078\u53d6\u5169\u6bb5\u76f8\u9130\u4e14\u7b49\u9577\u7684\u8a0a\u865f ) (n s \u8207 ) ( \uf074 \uf02b n s \u4f86\u8a08\u7b97\uff0c\u8a08\u7b97\u7684\u65b9\u5f0f\u5982\u516c\u5f0f(1)\u6240\u793a [12]\uff0c\u8a08\u7b97\u5f8c\u6703\u5f97\u5230\u4e00\u6b63\u898f\u5316\u81ea\u76f8\u95dc (Normalized Auto-Correlation\uff0c\u7c21\u7a31 NAC)\u51fd\u6578\uff0c\u5176\u51fd\u6578\u503c\u6703\u4ecb\u65bc 1 \u5230-1 \u4e4b\u9593\u3002 max min 1 0 2 1 0 2 1 0 ,..., , ) ( ) ( ) ( ) ( ) ( \uf074 \uf074 \uf074 \uf074 \uf074 \uf074 \uf03d \uf02b \uf02b \uf03d \uf0e5 \uf0e5 \uf0e5 \uf02d \uf03d \uf02d \uf03d \uf02d \uf03d L n L n L n NAC n s n s n s n s C (1) \uf0ee \uf0ed \uf0ec \uf0a3 \uf03c \uf02d \uf0a3 \uf0a3 \uf03d max 2 2 min , , \uf074 \uf074 \uf074 \uf074 \uf074 \uf074 N N N L (2) \u5176\u4e2d ) (n s \u8868\u793a\u8a9e\u97f3\u8a0a\u865f\u6a23\u672c\uff0c\uf074\u8868\u793a\u53ef\u80fd\u7684\u57fa\u9031\u9577\u5ea6\u4e4b\u6a23\u672c\u9ede\u6578\uff0cL \u8868\u793a AC \u904b \u7b97\u7684\u7bc4\u570d\uff0c\u5176\u6578\u503c\u8a2d\u5b9a\u65b9\u5f0f\u5982\u516c\u5f0f(2)\u6240\u793a\uff0cN \u8868\u793a\u4e00\u500b\u5c01\u5305\u7684\u8a9e\u97f3\u6a23\u672c\u9ede\u6578\uff0c \u5728\uf074\u5c0f\u65bc\u7b49\u65bc\u5c01\u5305\u9577\u5ea6\u4e4b\u534a\u7684\u60c5\u6cc1\uff0cL \u8a2d\u5b9a\u70ba\u8207\uf074\u7684\u6578\u503c\u4e00\u6a23\uff0c\u800c\u5728\uf074\u5927\u65bc\u5c01\u5305 \u9577\u5ea6\u4e4b\u534a\u7684\u60c5\u6cc1\u4e0b\uff0cL \u7684\u8a2d\u5b9a\u5247\u8b8a\u6210\u5c01\u5305\u9577\u5ea6\u6e1b\u53bb\uf074\u503c\uff0c\u4f8b\u5982\u5c01\u5305\u9577\u5ea6 N \u70ba 160 \u500b\u6a23\u672c\u9ede\uff0c\u5247\u7576\uf074\u8a08\u6578\u5230 120 \u6642\uff0cL \u5c07\u6703\u662f 40(\u5373 160 -120)\uff0c\u4ea6\u5373\u8a08\u7b97\u7684\u662f ) (n s \u8207 ) ( \uf074 \uf02b n s \u5169\u6bb5\u6ce2\u5f62\u8a0a\u865f\u7684\u524d", |
|
"cite_spans": [], |
|
"ref_spans": [], |
|
"eq_spans": [], |
|
"section": "", |
|
"sec_num": null |
|
} |
|
], |
|
"back_matter": [], |
|
"bib_entries": { |
|
"BIBREF0": { |
|
"ref_id": "b0", |
|
"title": "A Survey of Packet Loss Recovery Techniques for Streaming Audio", |
|
"authors": [ |
|
{ |
|
"first": "C", |
|
"middle": [], |
|
"last": "Perkins", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "O", |
|
"middle": [], |
|
"last": "Hodson", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "V", |
|
"middle": [], |
|
"last": "Hardman", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1998, |
|
"venue": "IEEE Network", |
|
"volume": "12", |
|
"issue": "5", |
|
"pages": "40--48", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "C. Perkins, O. Hodson and V. Hardman, \" A Survey of Packet Loss Recovery Techniques for Streaming Audio\" , IEEE Network, Vol. 12 (5), pp. 40-48, 1998.", |
|
"links": null |
|
}, |
|
"BIBREF1": { |
|
"ref_id": "b1", |
|
"title": "Packet-Loss Recovery Techniques for VoIP", |
|
"authors": [ |
|
{ |
|
"first": "M", |
|
"middle": [ |
|
"Y" |
|
], |
|
"last": "Kim", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "R", |
|
"middle": [], |
|
"last": "Vafin", |
|
"suffix": "" |
|
} |
|
], |
|
"year": null, |
|
"venue": "", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "M. Y. Kim and R. Vafin, \" Packet-Loss Recovery Techniques for VoIP\" , Technical Report, Royal Institute of Technology (KTH), Sweden.", |
|
"links": null |
|
}, |
|
"BIBREF2": { |
|
"ref_id": "b2", |
|
"title": "Waveform Substitution Techniques for Recovering Missing Speech Segments in Packet Voice Communications", |
|
"authors": [ |
|
{ |
|
"first": "D", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Goodman", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "G", |
|
"middle": [ |
|
"B" |
|
], |
|
"last": "Lockhart", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "O", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Wasem", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "W", |
|
"middle": [ |
|
"C" |
|
], |
|
"last": "Wong", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1986, |
|
"venue": "IEEE trans. Acoustics, Speech, and Signal Processing", |
|
"volume": "34", |
|
"issue": "6", |
|
"pages": "1440--1448", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "D. J. Goodman, G. B. Lockhart, O. J. Wasem and W. C. Wong, \" Waveform Substitution Techniques for Recovering Missing Speech Segments in Packet Voice Communications\" , IEEE trans. Acoustics, Speech, and Signal Processing, Vol. 34, No. 6, pp. 1440-1448, 1986.", |
|
"links": null |
|
}, |
|
"BIBREF3": { |
|
"ref_id": "b3", |
|
"title": "The Effect of Waveform Substitution on the Quality of PCM Packet Communications", |
|
"authors": [ |
|
{ |
|
"first": "O", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Wasem", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "D", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Goodman", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "C", |
|
"middle": [ |
|
"A" |
|
], |
|
"last": "Dvorak", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "H", |
|
"middle": [ |
|
"G" |
|
], |
|
"last": "Page", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1988, |
|
"venue": "IEEE trans. Acoustics, Speech, and Signal Processing", |
|
"volume": "36", |
|
"issue": "3", |
|
"pages": "342--348", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "O. J. Wasem, D. J. Goodman, C. A. Dvorak and H. G. Page, \" The Effect of Waveform Substitution on the Quality of PCM Packet Communications\" , IEEE trans. Acoustics, Speech, and Signal Processing, Vol. 36, No. 3, pp. 342-348, 1988.", |
|
"links": null |
|
}, |
|
"BIBREF5": { |
|
"ref_id": "b5", |
|
"title": "An Overlap-Add Technique Based on Waveform Similarity (WSOLA) for High Quality Time-Scale Modification of Speech", |
|
"authors": [ |
|
{ |
|
"first": "W", |
|
"middle": [], |
|
"last": "Verhelst", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "M", |
|
"middle": [], |
|
"last": "Roelands", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1993, |
|
"venue": "IEEE ICASSP", |
|
"volume": "2", |
|
"issue": "", |
|
"pages": "554--557", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "W. Verhelst and M. Roelands, \" An Overlap-Add Technique Based on Waveform Similarity (WSOLA) for High Quality Time-Scale Modification of Speech\" , IEEE ICASSP, Vol. 2, pp. 554-557, 1993.", |
|
"links": null |
|
}, |
|
"BIBREF6": { |
|
"ref_id": "b6", |
|
"title": "A New Error Concealment Technique for Audio Transmission with Packet Loss", |
|
"authors": [ |
|
{ |
|
"first": "A", |
|
"middle": [], |
|
"last": "Stenger", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "K", |
|
"middle": [ |
|
"B" |
|
], |
|
"last": "Younes", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "R", |
|
"middle": [], |
|
"last": "Reng", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "B", |
|
"middle": [], |
|
"last": "Girod", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1996, |
|
"venue": "", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "A. Stenger, K. B. Younes, R. Reng and B. Girod, \" A New Error Concealment Technique for Audio Transmission with Packet Loss\" , EUSIPCO, 1996.", |
|
"links": null |
|
}, |
|
"BIBREF7": { |
|
"ref_id": "b7", |
|
"title": "Adaptive Recovery Techniques for Real-Time Audio Streams", |
|
"authors": [ |
|
{ |
|
"first": "W.-T", |
|
"middle": [], |
|
"last": "Liao", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "J.-C", |
|
"middle": [], |
|
"last": "Chen", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "M.-S", |
|
"middle": [], |
|
"last": "Chen", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2001, |
|
"venue": "IEEE INFOCOM", |
|
"volume": "2", |
|
"issue": "", |
|
"pages": "815--823", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "W.-T. Liao, J.-C. Chen and M.-S. Chen, \" Adaptive Recovery Techniques for Real-Time Audio Streams\" , IEEE INFOCOM, Vol. 2, pp. 815-823, 2001.", |
|
"links": null |
|
}, |
|
"BIBREF8": { |
|
"ref_id": "b8", |
|
"title": "Waveform Substitution Techniques for Recovering Missing Speech Segments in Packet Voice Communications", |
|
"authors": [ |
|
{ |
|
"first": "D", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Goodman", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "G", |
|
"middle": [ |
|
"B" |
|
], |
|
"last": "Lockhart", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "O", |
|
"middle": [ |
|
"J" |
|
], |
|
"last": "Wasem", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "W", |
|
"middle": [ |
|
"C" |
|
], |
|
"last": "Wong", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1986, |
|
"venue": "IEEE trans. Acoustics, Speech, and Signal Processing", |
|
"volume": "34", |
|
"issue": "6", |
|
"pages": "1440--1448", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "D. J. Goodman, G. B. Lockhart, O. J. Wasem and W. C. Wong, \" Waveform Substitution Techniques for Recovering Missing Speech Segments in Packet Voice Communications\" , IEEE trans. Acoustics, Speech, and Signal Processing, Vol. 34(6), pp. 1440-1448, 1986.", |
|
"links": null |
|
}, |
|
"BIBREF9": { |
|
"ref_id": "b9", |
|
"title": "A New Voice-Packet Reconstruction Technique", |
|
"authors": [ |
|
{ |
|
"first": "R", |
|
"middle": [ |
|
"A" |
|
], |
|
"last": "Valenzuela", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "C", |
|
"middle": [ |
|
"N" |
|
], |
|
"last": "Animalu", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1989, |
|
"venue": "IEEE ICASSP", |
|
"volume": "2", |
|
"issue": "", |
|
"pages": "1334--1336", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "R. A. Valenzuela and C. N. Animalu, \" A New Voice-Packet Reconstruction Technique\" , IEEE ICASSP, Vol. 2, pp. 1334-1336, 1989.", |
|
"links": null |
|
}, |
|
"BIBREF10": { |
|
"ref_id": "b10", |
|
"title": "Carrier Grade Voice Over IP", |
|
"authors": [ |
|
{ |
|
"first": "D", |
|
"middle": [], |
|
"last": "Collins", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2000, |
|
"venue": "", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "D. Collins, Carrier Grade Voice Over IP, McGraw-Hill Companies, 2000.", |
|
"links": null |
|
}, |
|
"BIBREF11": { |
|
"ref_id": "b11", |
|
"title": "Super Resolution Pitch Determination of Speech Signals", |
|
"authors": [ |
|
{ |
|
"first": "Y", |
|
"middle": [], |
|
"last": "Medan", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "E", |
|
"middle": [], |
|
"last": "Yair", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "D", |
|
"middle": [], |
|
"last": "Chazan", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1991, |
|
"venue": "IEEE trans. Signal Processing", |
|
"volume": "39", |
|
"issue": "1", |
|
"pages": "40--48", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Y. Medan, E. Yair and D. Chazan, \" Super Resolution Pitch Determination of Speech Signals\" , IEEE trans. Signal Processing, Vol. 39(1), pp. 40-48, Jan. 1991.", |
|
"links": null |
|
}, |
|
"BIBREF12": { |
|
"ref_id": "b12", |
|
"title": "A Mandarin-syllable Signal Synthesis Method with Increased Flexibility in Dur a t i o n", |
|
"authors": [ |
|
{ |
|
"first": "Hung-Yan", |
|
"middle": [], |
|
"last": "Gu", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "Wen-Lung", |
|
"middle": [], |
|
"last": "Shiu", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1998, |
|
"venue": "Proceedings of the National Science Council", |
|
"volume": "22", |
|
"issue": "", |
|
"pages": "385--395", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Hung-Yan Gu and Wen-Lung Shiu, \" A Mandarin-syllable Signal Synthesis Method with Increased Flexibility in Dur a t i o n , T o n e a n d T i mb r e C o n t r o l \" , Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering, Vol. 22, No. 3, pp. 385-395, 1998.", |
|
"links": null |
|
} |
|
}, |
|
"ref_entries": { |
|
"TABREF0": { |
|
"text": "Voice over IP)\u3002\u7136\u800c\uff0c \u5c01\u5305\u4ea4\u63db\u7db2\u8def(packet-switching network)\u672c\u8eab\u4e26\u4e0d\u662f\u975e\u7d55\u5c0d\u53ef\u9760\u7684\uff0c\u8a9e\u97f3\u5c01\u5305\u5728\u50b3 \u8f38\u7684\u904e\u7a0b\u4e2d\uff0c\u53ef\u80fd\u88ab\u907a\u5931(network loss)\uff0c\u6216\u53ef\u80fd\u88ab\u5ef6\u9072\u9001\u9054\uff0c\u5982\u679c\u56e0\u6b64\u800c\u8d85\u904e\u4e86 \u64ad\u653e\u7684\u6642\u9593\u9ede\uff0c\u63a5\u6536\u7aef\u53ef\u80fd\u5c07\u4e4b\u4e1f\u68c4\uff0c\u5f62\u6210 late loss\uff0c\u9019\u6a23\u7684\u5c01\u5305\u907a\u5931(packet loss) \u5c0d\u65bc VoIP \u6240\u8981\u6c42\u7684\u5c0d\u8a71\u5373\u6642\u6027\u548c\u8a9e\u97f3\u54c1\u8cea\u4f86\u8aaa\uff0c\u662f\u4e00\u500b\u5f88\u5927\u7684\u554f\u984c\u3002VoIP \u63a5\u6536 \u7aef\u7684\u7a0b\u5f0f\uff0c\u5b83\u7684\u5de5\u4f5c\u5c31\u662f\u5c07\u6536\u5230\u7684\u8a9e\u97f3\u5c01\u5305\u89e3\u78bc\u70ba\u53ef\u4f9b\u64ad\u653e\u3001\u8046\u807d\u7684\u8a9e\u97f3\u6ce2\u5f62\uff0c \u56e0\u6b64\u7576\u8a9e\u97f3\u5c01\u5305\u907a\u5931\u6642\uff0c\u82e5\u672a\u4f5c\u88dc\u511f\uff0c\u5c31\u6703\u89e3\u78bc\u8f38\u51fa\u4e00\u6bb5\u975c\u97f3\u800c\u5f62\u6210\u7a7a\u9699\uff0c\u4f7f\u5f97 \u8a9e\u97f3\u6ce2\u5f62\u8b8a\u5f97\u4e0d\u9023\u7e8c\uff0c\u56e0\u800c\u7522\u751f\u8b93\u807d\u8005\u53ef\u5bdf\u89ba\u7684\u96dc\u8a0a\u566a\u97f3\u3002 \u5c01\u5305\u907a\u5931\u7684\u88dc\u511f\u65b9\u6cd5(Packet Loss Concealment \uff0c\u7c21\u7a31 PLC)\u53ef\u4ee5\u5206\u4f5c\u5169\u5927\u985e[1, 2]\uff0c\u5206\u5225\u662f\u5f9e\u50b3\u9001\u7aef(transmitter)\u8207\u63a5\u6536\u7aef(receiver)\u7684\u89d2\u5ea6\u9032\u884c\u8003\u91cf\u3002\u50b3\u9001\u7aef\u88dc\u511f \u65b9\u6cd5\u7684\u76ee\u6a19\uff0c\u5728\u65bc\u5982\u4f55\u964d\u4f4e\u5c01\u5305\u50b3\u9001\u7684\u5931\u6557\u7387\u8207\u6539\u5584\u5176\u5206\u4f48\uff1b\u800c\u63a5\u6536\u7aef\u88dc\u511f\u65b9 \u6cd5\uff0c\u5247\u81f4\u529b\u65bc\u63d0\u5347\u91cd\u5efa\u8a9e\u97f3\u7684\u54c1\u8cea\u3002\u672c\u6587\u6240\u7814\u7a76\u7684\uff0c\u662f\u4e00\u7a2e\u5728\u63a5\u6536\u7aef\u9032\u884c\u88dc\u511f\u7684 \u65b9\u6cd5\u3002 \u5728\u63a5\u6536\u7aef\u4f5c\u88dc\u511f\u7684\u65b9\u6cd5\u53ef\u7d30\u5206\u70ba\uff1a\u63d2\u5165\u5f0f(insertion)\u3001\u5167\u5dee\u5f0f(interpolation) \u8207\u518d\u751f\u5f0f(regeneration)[1, 2]\u3002\u63d2\u5165\u5f0f\u65b9\u6cd5\u53ea\u6703\u53c3\u8003\u904e\u53bb\u55ae\u908a\u65b9\u5411(one-sided)\u7684\u6ce2", |
|
"html": null, |
|
"content": "<table><tr><td>BV \u8655\u7406 DSPWR \u6cd5\u5728\" BU \u8655\u7406\" \u65b9\u584a(PP \u8207 PN \u90fd\u662f\u7121\u8072\u6642)\u7684\u4f5c\u6cd5\uff0c\u6539\u9032\u4e86\u53ea\u4ee5\u524d\u4e00 \u7dda\u6027\u632f\u5e45\u8abf\u6574\u7684\u6280\u5de7\uff0c\u4f86\u8655\u7406\u632f\u5e45\u9023\u7e8c\u6027\u7684\u554f\u984c\u3002 PP \u70ba\u6709\u8072 PN \u70ba\u6709\u8072</td></tr><tr><td>\u6458\u8981 \u672c\u6587\u63d0\u51fa\u4e00\u7a2e\u7528\u65bc\u7db2\u8def\u96fb\u8a71\u7684\u907a\u5931\u5c01\u5305\u88dc\u511f\u4e4b\u65b9\u6cd5\uff0c\u7a31\u70ba TPPWI \u6cd5\uff0c\u5b83\u9996 \u5148\u4f7f\u7528\u6211\u5011\u7814\u7a76\u7684\u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\uff0c\u4f86\u5075\u6e2c\u907a\u5931\u5c01\u5305\u7684\u524d\u4e00\u500b\u8207\u5f8c\u4e00\u500b\u5c01\u5305\u5167\u7684\u8a9e \u97f3\u6ce2\u5f62\u7684\u9031\u671f\u9577\u5ea6\uff0c\u518d\u5c07\u524d\u4e00\u5c01\u5305\u8207\u5f8c\u4e00\u5c01\u5305\u5404\u5206\u985e\u70ba\u6709\u8072\u6216\u7121\u8072\uff0c\u4f9d\u7167\u6709\u8072\u3001 \u7121\u8072\u4e4b\u56db\u7a2e\u7d44\u5408\u518d\u5206\u6210\u56db\u7a2e\u88dc\u511f\u4f5c\u6cd5\u3002\u5176\u4e2d\u524d\u3001\u5f8c\u5c01\u5305\u5747\u70ba\u6709\u8072\u7684\u60c5\u6cc1\uff0c\u6211\u5011\u63d0 \u51fa\u4e86\u57fa\u9031\u6ce2\u5f62\u7684\u76f8\u4f4d\u540c\u6b65\u65b9\u6cd5\uff0c\u9700\u4f48\u653e\u4e4b\u57fa\u9031\u500b\u6578\u8207\u9577\u5ea6\u7684\u6c7a\u5b9a\u65b9\u6cd5\uff0c\u57f7\u884c\u8a72\u4e8c \u65b9\u6cd5\u5f8c\uff0c\u518d\u57f7\u884c\u7279\u5225\u7684\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u4e4b\u4f5c\u6cd5\uff0c\u5982\u6b64\u53ef\u5f97\u5230\u9ad8\u54c1\u8cea\u7684\u91cd\u5efa\u8a9e\u97f3\u3002\u5c0d \u65bc\u524d\u3001\u5f8c\u5c01\u5305\u5747\u70ba\u7121\u8072\u7684\u60c5\u6cc1\uff0c\u672c\u6587\u4e5f\u5c07\u524d\u4eba\u7684\u4f5c\u6cd5\u52a0\u4ee5\u6539\u9032\u3002\u521d\u6b65\u7684\u807d\u6e2c\u8a55\u4f30 \u986f\u793a\uff0cTPPWI \u6cd5\u53ef\u4ee5\u5f97\u5230\u6bd4\u524d\u4eba\u7684\u6578\u7a2e\u65b9\u6cd5\u66f4\u597d\u7684\u8a9e\u97f3\u54c1\u8cea\u3002 \u95dc\u9375\u8a5e\uff1a \u57fa\u9031\u5075\u6e2c\uff0c\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\uff0c\u76f8\u4f4d\u540c\u6b65\uff0c\u8a9e\u97f3\u54c1\u8cea 1. \u524d\u8a00 \u96a8\u8457\u7db2\u8def\u6280\u8853\u7684\u65e5\u76ca\u84ec\u52c3\u767c\u5c55\uff0c\u786c\u9ad4\u8a2d\u5099\u5347\u7d1a\u3001\u7dda\u8def\u983b\u5bec\u52a0\u5927\uff0c\u4f7f\u5f97\u900f\u904e\u7db2 \u969b\u7db2\u8def\u4f86\u5373\u6642\u50b3\u8f38\u8a9e\u97f3\u5c01\u5305\u8b8a\u5f97\u53ef\u80fd\uff0c\u4e5f\u5c31\u662f\u6240\u8b02\u7684 VoIP (\u5f62\u8cc7\u6599\uff0c\u4ee5\u5916\u5dee(extrapolation)\u8655\u7406\u65b9\u5f0f\u4f86\u91cd\u5efa\u8a9e\u97f3\uff1b\u5167\u5dee\u5f0f\u65b9\u6cd5\u5247\u6703\u540c\u6642\u8003\u616e\u907a \u5931\u5c01\u5305\u524d\u5f8c\u96d9\u908a\u65b9\u5411(two-sided)\u7684\u6ce2\u5f62\u8cc7\u6599\uff0c\u4ee5\u5167\u5dee\u8655\u7406\u65b9\u5f0f\u4f86\u91cd\u5efa\u8a9e\u97f3\uff1b\u800c\u518d \u751f\u5f0f\u65b9\u6cd5\u5247\u662f\u5f9e\u8a9e\u97f3\u7de8\u3001\u89e3\u78bc\u5668\u8457\u624b\uff0c\u91cd\u65b0\u5408\u6210\u51fa\u907a\u5931\u5c01\u5305\u7684\u8a9e\u97f3\u6ce2\u5f62\u3002\u4e00\u822c\u800c \u8a00\uff0c\u5167\u5dee\u5f0f\u88dc\u511f\u65b9\u6cd5\u7684\u904b\u7b97\u91cf\u8f03\u5927\uff0c\u4f46\u662f\u6548\u679c\u4e5f\u6bd4\u8f03\u597d\u3002\u8003\u616e\u5230\u4eca\u65e5\u500b\u4eba\u96fb\u8166\u7684 \u901f\u5ea6\uff0c\u6642\u8108(clock rate)\u90fd\u5728 1 GHz \u4ee5\u4e0a\uff0c\u8981\u57f7\u884c\u5167\u5dee\u5f0f\u7684\u88dc\u511f\u65b9\u6cd5\uff0c\u904b\u7b97\u80fd\u529b\u662f \u7dbd\u7dbd\u6709\u9918\uff0c\u56e0\u6b64\u6211\u5011\u7814\u7a76\u4e86\u4e00\u7a2e\u5167\u5dee\u5f0f\u7684\u88dc\u511f\u65b9\u6cd5\uff0c\u5e0c\u671b\u8b93\u91cd\u5efa\u5f8c\u7684\u8a9e\u97f3\u6ce2\u5f62\uff0c \u8046\u807d\u6642\u76e1\u53ef\u80fd\u67e5\u89ba\u4e0d\u51fa\u6709\u767c\u751f\u904e\u5c01\u5305\u907a\u5931\uff0c\u4e26\u4e14\u5e0c\u671b\u5728\u5c01\u5305\u907a\u5931\u7387\u5f88\u9ad8\u6642(\u4f8b\u5982 \u983b\u5bec\u53d7\u9650\u4e4b\u64a5\u63a5\u7db2\u8def) \uff0c\u53ef\u4ee5\u5f97\u5230\u5927\u5e45\u5ea6\u7684\u8a9e\u97f3\u54c1\u8cea\u6539\u9032\u3002 \u63a5\u6536\u7aef\u5167\u5dee\u5f0f\u88dc\u511f\u65b9\u6cd5\u7684\u539f\u7406\u662f\uff0c\u53c3\u8003\u907a\u5931\u767c\u751f\u4f4d\u7f6e\u524d\u5f8c\u5c01\u5305\u7684\u8cc7\u6599\uff0c\u4f86\u7522 \u751f\u517c\u9867\u524d\u5f8c\u9023\u7e8c\u6027\u7684\u91cd\u5efa\u8a9e\u97f3\uff0c\u96d6\u7136\u6b65\u9a5f\u6bd4\u8f03\u8907\u96dc\u4e00\u4e9b\uff0c\u4f46\u662f\u76f8\u5c0d\u7684\u6548\u679c\u4e5f\u6703\u6709 \u986f\u8457\u7684\u63d0\u5347\u3002\u76f8\u95dc\u7684\u65b9\u6cd5\u5305\u62ec\uff1a(a)\u76f8\u4f3c\u6ce2\u5f62\u53d6\u4ee3\u6cd5 [3]\uff0c\u5229\u7528\u6a23\u5f0f\u6bd4\u5c0d(pattern matching)\u7684\u6280\u5de7\uff0c\u5f9e\u904e\u53bb\u64ad\u653e\u904e\u7684\u6ce2\u5f62\u8cc7\u6599\u4e2d\uff0c\u5c0b\u627e\u53ef\u4ee5\u7528\u4f86\u53d6\u4ee3\u907a\u5931\u5c01\u5305\u6240\u9020 \u6210\u4e4b\u7a7a\u9699\u7684\u5408\u9069\u6ce2\u5f62\uff0c\u7531\u65bc\u5c0b\u627e\u7684\u4e0d\u4e00\u5b9a\u90fd\u662f\u672a\u907a\u5931\u7684\u5c01\u5305\uff0c\u4e5f\u6709\u53ef\u80fd\u662f\u91cd\u5efa\u51fa \u4f86\u7684\u8a9e\u97f3\u6ce2\u5f62\uff0c\u56e0\u6b64\u6703\u6709\u8aa4\u5dee\u5ef6\u7e8c(error propagation)\u7684\u554f\u984c\uff1b(b)\u57fa\u9031\u6ce2\u5f62\u8907\u88fd\u6cd5 [4]\uff0c\u6b64\u65b9\u6cd5\u4ef0\u8cf4\u7684\u662f\u6709\u6548\u800c\u53ef\u9760\u7684\u57fa\u9031\u5075\u6e2c\u6f14\u7b97\u6cd5\uff0c\u4ee5\u4fbf\u91cd\u8907\u8907\u88fd\u57fa\u9031\u6ce2\u5f62\uff0c \u76f4\u5230\u586b\u6eff\u907a\u5931\u7a7a\u9699\u70ba\u6b62\uff0cG.711 [5]\u5167\u5efa\u7684\u5c01\u5305\u907a\u5931\u88dc\u511f\u65b9\u6cd5\u4fbf\u5c6c\u65bc\u9019\u7a2e\uff1b(c)\u6642\u57df \u6ce2\u5f62\u4f38\u7e2e\u6cd5 [1]\uff0c\u85c9\u7531\u5c07\u904e\u53bb\u6ce2\u5f62\u4f38\u5c55\u62c9\u9577\uff0c\u4f7f\u4e4b\u80fd\u5920\u6db5\u84cb\u5c01\u5305\u907a\u5931\u6240\u9020\u6210\u7684\u7a7a \u9699\uff0c\u9032\u800c\u9054\u5230\u91cd\u5efa\u8a9e\u97f3\u7684\u6548\u679c\uff0cWSOLA (Waveform Similarity Overlap Add)\u6ce2\u5f62 \u76f8\u4f3c\u6027\u758a\u52a0\u6cd5\u4fbf\u5c6c\u65bc\u9019\u7a2e\u4f5c\u6cd5 [6]\uff0c\u5f8c\u4f86\u7d93\u904e Stenger \u7b49\u4eba\u7684\u4fee\u6539\uff0c\u63d0\u51fa\u7a31\u70ba Modified WSOLA \u7684\u4f5c\u6cd5 [7]\uff0c\u4f7f\u4e4b\u80fd\u5920\u4f5c\u70ba VoIP \u7684\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u3002 \u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u5c0d\u65bc\u907a\u5931\u5c01\u5305\u6240\u91cd\u5efa\u51fa\u7684\u8a9e\u97f3\u4fe1\u865f\uff0c\u5176\u54c1\u8cea\u597d\u58de\u7684\u8a55\u4f30\u53ef\u4ee5 \u5c01\u5305\u91cd\u8907\u7684\u65b9\u6cd5[1]\uff0c\u6539\u8b8a\u6210\u7528\u524d\u4e00\u5c01\u5305\u7684\u5f8c\u534a\u6bb5\u6ce2\u5f62\u8207\u5f8c\u4e00\u5c01\u5305\u7684\u524d\u534a\u6bb5\u6ce2 1 2 3 \u5716 5 \u88dc\u511f\u65b9\u6cd5\u7684\u67b6\u69cb \u6211\u5011\u7684\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u7a31\u70ba\u6642\u9593\u6bd4\u4f8b\u5f0f\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u6cd5(Time Proportion \u7684\u67b6\u69cb\uff0c\u4f46\u662f\u7d30\u90e8\u7684\u8655\u7406\u65b9\u6cd5\u4e0a\uff0c\u5247\u662f\u5357\u8f45\u5317\u8f4d\u4e14\u6548\u80fd\u4e5f\u6709\u986f\u8457\u5dee\u7570\uff0c\u5982\u5716 5 \u88e1\u7684\" \u57fa\u9031\u5075\u6e2c\" \u65b9\u584a\u3001\u53ca\u53f3\u908a\u6700\u91cd\u8981\u7684\" BV \u8655\u7406\" \u65b9\u584a\uff0c\u5728\u9019\u5169\u65b9\u584a\u88e1\uff0c\u6211\u5011\u7684 \u65b9\u6cd5\u5b8c\u5168\u4e0d\u540c\u65bc DSPWR \u6cd5\u88e1\u7684\uff0c\u4e14\u6548\u80fd\u4e5f\u6bd4 DSPWR \u6cd5\u7684\u597d\u5f88\u591a\uff1b\u5728\u5716 5 \u88e1 \u7684\" BU \u8655\u7406\" \u65b9\u584a\uff0c\u6211\u5011\u5247\u662f\u6539\u9032 DSPWR \u88e1\u7684\u4f5c\u6cd5\uff0c\u4ee5\u5f97\u5230\u66f4\u597d\u7684\u8a9e\u97f3\u54c1\u8cea\uff1b \u81f3\u65bc\" PV \u8655\u7406\" \u548c\" NV \u8655\u7406\" \u65b9\u584a\uff0c\u6211\u5011\u89ba\u5f97\u662f\u8f03\u5c11\u88ab\u57f7\u884c\u5230\u800c\u8f03\u4e0d\u91cd\u8981\u7684\u65b9\u584a\uff0c \u6240\u4ee5\u5c31\u76f4\u63a5\u63a1\u7528 DSPWR \u6cd5\u88e1\u7684\u4f5c\u6cd5\u3002 \u63a5\u8457\uff0c\u5148\u56de\u9867 DSPWR \u6cd5\u7684\u7d30\u90e8\u4f5c\u6cd5\uff0c\u4ee5\u8aaa\u660e\u5176\u7f3a\u9ede\u6240\u5728\uff0c\u800c\u6211\u5011\u7684 TPPWI \u6cd5\u7684\u7d30\u90e8\u4f5c\u6cd5\uff0c\u5247\u5728\u7b2c\u4e09\u3001\u56db\u3001\u4e94\u7bc0\u88e1\u8aaa\u660e\u3002DSPWR \u6240\u4f7f\u7528\u7684\u57fa\u9031\u5075\u6e2c\u6f14\u7b97\u6cd5 [9]\uff0c\u662f\u4ee5\u5075\u6e2c\u4fe1\u865f\u6ce2\u5f62\u7684\u5cf0\u9ede(peak)\u70ba\u57fa\u790e\uff0c\u4ee5\u5cf0\u9ede\u9593\u7684\u8ddd\u96e2\u4f5c\u70ba\u57fa\u9031\u9577\u5ea6\uff0c\u6b64 \u57fa\u9031\u5075\u6e2c\uff1a \u524d\u4e00\u5c01\u5305\u7684 \u57fa\u9031\u9577\u5ea6 PP; \u5f8c\u4e00\u5c01\u5305\u7684 \u57fa\u9031\u9577\u5ea6 PN. PP \u70ba\u6709\u8072 PN \u70ba\u7121\u8072 PV \u8655\u7406 PP \u70ba\u7121\u8072 PN \u70ba\u6709\u8072 NV \u8655\u7406 PP \u70ba\u7121\u8072 PN \u70ba\u7121\u8072 BU \u8655\u7406 \u5f62\uff0c\u4f86\u8907\u88fd\u586b\u6eff\u907a\u5931\u5c01\u5305\u6240\u7522\u751f\u7684\u7a7a\u9699\uff0c\u4ee5\u907f\u514d\u7576\u524d\u4e00\u5c01\u5305\u88e1\u9762\u5305\u542b\u6709\u8072\u8f49\u7121\u8072 \u6216\u7121\u8072\u8f49\u6709\u8072\u7684\u6ce2\u5f62\u8f49\u8b8a(transition)\u6642\uff0c\u6703\u7522\u751f\u8b93\u4eba\u5bdf\u89ba\u5f97\u51fa\u4f86\u7684\u566a\u97f3\u3002 DSPWR \u6cd5\u5728\" PV \u8655\u7406\" \u65b9\u584a(PP \u70ba\u6709\u8072\u800c PN \u70ba\u7121\u8072\u6642)\u7684\u4f5c\u6cd5\uff0c\u539f\u7406\u662f\u4ee5 PP \u57fa\u9031\u6ce2\u5f62\u4f86\u8907\u88fd\u586b\u6eff\u907a\u5931\u5c01\u5305\u6240\u7522\u751f\u7684\u7a7a\u9699\uff0c\u4e26\u4e14\u5c0d\u91cd\u5efa\u6ce2\u5f62\u65bd\u884c\u7dda\u6027\u632f\u5e45 \u8abf\u6574\uff1b\u7531\u65bc PN \u88ab\u5075\u6e2c\u70ba\u7121\u9031\u671f\u6027\uff0c\u8868\u793a\u5f8c\u4e00\u5c01\u5305\u5167\u7684\u6ce2\u5f62\u662f\u96a8\u6a5f\u8df3\u52d5\u4e4b\u4fe1\u865f\uff0c \u6545\u4e0d\u5b58\u5728\u76f8\u4f4d\u9023\u7e8c\u6027\u7684\u554f\u984c\u3002\u985e\u4f3c\u7684\u60c5\u6cc1\uff0c\u5728\" NV \u8655\u7406\" \u65b9\u584a\u88e1\uff0c\u5247\u4ee5 PN \u57fa\u9031 \u6ce2\u5f62\u4f86\u8907\u88fd\u586b\u6eff\u907a\u5931\u5c01\u5305\u6240\u7522\u751f\u7684\u7a7a\u9699\uff0c\u4e26\u4e14\u5c0d\u91cd\u5efa\u6ce2\u5f62\u65bd\u884c\u7dda\u6027\u632f\u5e45\u8abf\u6574\u3002 3. \u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\u53ca\u5176\u5be6\u9a57 \u5716 1\u6211\u5011\u7684\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u4e4b\u67b6\u69cb\u5982\u5716 5 \u6240\u793a\uff0c\u5148\u5206\u5225\u5f9e\u907a\u5931\u5c01\u5305\u4e4b\u524d\u7684\u90a3\u500b\u5c01 Based Pitch Waveform Interpolation, \u7c21\u7a31 TPPWI)\uff0c\u96d6\u7136\u5b83\u548c DSPWR \u6cd5\u5177\u6709\u76f8\u540c 3.1 \u57fa\u9031\u5075\u6e2c</td></tr><tr><td>\u5f9e\u5982\u4e0b\u4e09\u9805\u76ee\u4f86\u6aa2\u67e5\uff0c\u5373\u91cd\u5efa\u7684\u4fe1\u865f\u7247\u6bb5\u8207\u5176\u524d\u5f8c\u975e\u907a\u5931\u7684\u4fe1\u865f\u4e4b\u9593\uff0c\u662f\u5426\u5177\u6709 \u5305(\u7c21\u7a31\" \u524d\u4e00\u5c01\u5305\" )\u8207\u907a\u5931\u5c01\u5305\u4e4b\u5f8c\u7684\u90a3\u500b\u5c01\u5305(\u7c21\u7a31\" \u5f8c\u4e00\u5c01\u5305\" )\u4e2d\uff0c\u53bb\u5075\u6e2c\u57fa\u9031 \u7a2e\u4f5c\u6cd5\u7684\u4e00\u500b\u660e\u986f\u7f3a\u9ede\u662f\uff0c\u9031\u671f\u6027\u53ca\u9031\u671f\u9577\u5ea6\u7684\u5075\u6e2c\uff0c\u6e96\u78ba\u6027\u4e0d\u5920\u9ad8\uff0c\u9019\u6703\u4f7f\u5f97</td></tr><tr><td>(a)\u632f\u5e45\u9023\u7e8c\u6027(amplitude continuity)\u3001(b)\u983b\u7387\u9023\u7e8c\u6027(frequency continuity)\u3001\u53ca\u908a \u9577\u5ea6\u3001\u53ca\u5224\u65b7\u662f\u5426\u70ba\u6709\u8072(voiced)\u6216\u7121\u8072(unvoiced)\u7684\u8a9e\u97f3\uff0cPP (pitch of previous \u91cd\u5efa\u51fa\u7684\u8a9e\u97f3\u7684\u54c1\u8cea\u964d\u4f4e\u4e0d\u5c11\u3002\u6b64\u5916\uff0cDSPWR \u6cd5\u5728\u524d\u5f8c\u5c01\u5305\u5747\u70ba\u6709\u8072\u7684\u60c5\u6cc1\u4e0b\uff0c</td></tr><tr><td>\u754c\u4e0a\u7684(c)\u76f8\u4f4d\u9023\u7e8c\u6027(phase continuity)\u3002\u632f\u5e45\u9023\u7e8c\u8207\u4e0d\u9023\u7e8c\u7684\u5c0d\u6bd4\uff0c\u53ef\u6bd4\u8f03\u5716 1 packet)\u8868\u793a\u524d\u4e00\u5c01\u5305\u8a9e\u97f3\u7684\u57fa\u9031\u9577\u5ea6\uff0cPN (pitch of next packet)\u8868\u793a\u5f8c\u4e00\u5c01\u5305\u8a9e\u97f3 \u96d6\u7136\u63d0\u51fa\u4e00\u7a2e\u89e3\u6c7a\u76f8\u4f4d\u4e0d\u9023\u7e8c\u7684\u4f5c\u6cd5\uff0c\u4f46\u662f\u8a72\u4f5c\u6cd5\u6709\u4e00\u500b\u56b4\u91cd\u7684\u7f3a\u9ede\uff0c\u5c31\u662f\u672a\u8003</td></tr><tr><td>\u8207\u5716 2\uff0c\u5716 2 \u4e2d\u9593\u91cd\u5efa\u51fa\u7684\u6ce2\u5f62\uff0c\u5176\u632f\u5e45\u986f\u8457\u5730\u6bd4\u5169\u908a\u6ce2\u5f62\u7684\u4f4e\uff1b\u983b\u7387\u9023\u7e8c\u8207\u4e0d \u7684\u57fa\u9031\u9577\u5ea6\uff1b\u63a5\u8457\uff0c\u7531\u65bc\u524d\u4e00\u5c01\u5305\u8207\u5f8c\u4e00\u5c01\u5305\u7684\u5206\u6790\u70ba\u6709\u8072\u8207\u7121\u8072\u7684\u7d50\u679c\u5171\u6709\u56db \u616e\u97f3\u8abf(pitch)\u97fb\u5f8b\u7684\u9023\u7e8c\u6027\uff0c\u5c0d\u65bc\u8072\u8abf\u8a9e\u8a00(\u5982\u6f22\u8a9e\u5404\u65b9\u8a00)\u4f86\u8aaa\uff0c\u97f3\u8abf\u7684\u8868\u73fe\u662f</td></tr><tr><td>\u9023\u7e8c\u7684\u5c0d\u6bd4\uff0c\u53ef\u6bd4\u8f03\u5716 1 \u8207\u5716 3\uff1b\u76f8\u4f4d\u9023\u7e8c\u8207\u4e0d\u9023\u7e8c\u7684\u5c0d\u6bd4\uff0c\u53ef\u6bd4\u8f03\u5716 1 \u8207\u5716 4\uff0c \u7a2e\u7d44\u5408\uff0c\u6240\u4ee5\u5206\u5225\u63a1\u53d6\u4e0d\u540c\u7684\u6ce2\u5f62\u91cd\u5efa\u4e4b\u8655\u7406\u65b9\u5f0f\uff0c\u5373 BV (both voiced), PV \u91cd\u8981\u7684\u3002</td></tr><tr><td>\u5716 4 \u4e2d\u9593\u91cd\u5efa\u51fa\u7684\u6ce2\u5f62\uff0c\u5728\u53f3\u908a\u754c\u8207\u4e0b\u4e00\u5c01\u5305\u4ea4\u929c\u63a5\u8655\uff0c\u51fa\u73fe\u4e86\u76f8\u4f4d\u4e4b\u4e0d\u9023\u7e8c\u3002 (previous voiced), NV (next voiced), BU (both unvoiced)\u7b49\u8655\u7406\u65b9\u5f0f\u3002 DSPWR \u6cd5\u5728\" BV \u8655\u7406\" \u65b9\u584a(PP \u8207 PN \u90fd\u662f\u6709\u8072\u6642)\u7684\u4f5c\u6cd5\u5982\u4e0b\uff0c\u539f\u7406\u662f\u5229\u7528</td></tr><tr><td>\u719f\u77e5\u7684\u8a9e\u97f3\u6ce2\u5f62\u91cd\u5efa\u65b9\u6cd5\u4e4b\u4e2d\uff0c\u5927\u591a\u6578\u53ea\u89e3\u6c7a\u4e86\u632f\u5e45\u9023\u7e8c\u6027\u8207\u5c01\u5305\u908a\u754c\u6ce2\u5f62\u9023\u63a5 \u96d6\u7136\u5982\u5716 5 \u6240\u793a\u7684\u67b6\u69cb\uff0c\u4e26\u975e\u672c\u6587\u9996\u5148\u63d0\u51fa\uff0c\u800c\u662f\u53c3\u8003 Liao \u7b49\u4eba\u7684\u96d9\u908a\u57fa \u76f8\u4f4d\u6bd4\u5c0d(phase matching)\u7684\u6280\u5de7[10]\uff0c\u4f86\u6c7a\u5b9a PP \u9031\u671f\u500b\u6578\u8207 PN \u9031\u671f\u500b\u6578\u4e4b\u7dda\u6027</td></tr><tr><td>\u7684\u554f\u984c\uff0c\u5c0d\u65bc\u983b\u7387\u8207\u76f8\u4f4d\u9023\u7e8c\u6027\u7684\u554f\u984c\u8003\u616e\u4e0d\u591a\uff0c\u6216\u8005\u6210\u6548\u4e0d\u7406\u60f3\u3002 \u9031\u6ce2\u5f62\u8907\u88fd\u6cd5(Double Sided Pitch Waveform Replication\uff0c\u7c21\u7a31 DSPWR)\u88e1\u7684\u67b6\u69cb \u7d44\u5408\uff0c\u4ee5\u4fbf\u8b93\u57fa\u9031\u6ce2\u5f62\u8907\u88fd\u586b\u5165\u5230\u907a\u5931\u5c01\u5305\u6240\u6b98\u7559\u7684\u7a7a\u9699\u6642\uff0c\u80fd\u5920\u8b93\u7a7a\u9699\u5167\u7684\u91cd</td></tr><tr><td>[8]\uff0c\u4f46\u662f\uff0c\u9019\u6a23\u7684\u67b6\u69cb\u5f88\u660e\u986f\u5730\u662f\u5fc5\u9700\u63a1\u53d6\u7684\uff0c\u5982\u6b64\u624d\u53ef\u80fd\u89e3\u6c7a\u983b\u7387\u8207\u76f8\u4f4d\u4e4b \u5efa\u6ce2\u5f62\u8207\u5f8c\u4e00\u5c01\u5305\u4e4b\u9593\u7684\u6ce2\u5f62\u76f8\u4f4d\u5dee\u6700\u5c0f\uff0c\u85c9\u4ee5\u8212\u7de9\u76f8\u4f4d\u4e0d\u9023\u7e8c\u7684\u554f\u984c\uff0c\u8a72\u7a0b\u5e8f</td></tr><tr><td>\u9023\u7e8c\u6027\u554f\u984c\u3002 \u7a31\u70ba\u4ee5\u57fa\u9031\u9032\u884c\u76f8\u4f4d\u6bd4\u5c0d(Phase Matching using Pitch\uff0c\u7c21\u7a31 PMP) \uff0c\u6700\u5f8c\u518d\u4f7f\u7528</td></tr></table>", |
|
"type_str": "table", |
|
"num": null |
|
}, |
|
"TABREF1": { |
|
"text": "NAC \u4fc2\u6578\u5927\u65bc 0.6(\u6ce2\u5f62\u76f8\u4f3c\u5ea6 60%)\u7684\u5c40\u90e8\u6700\u5927\u503c\uff1b\u82e5 PPR \u4e0d\u70ba 0\u3001\u800c PPL \u70ba 0 \u6642\uff0c\u4e5f\u9032\u884c\u985e\u4f3c\u7684\u8655\u7406\u6b65\u9a5f\uff0c\u85c9\u4ee5\u66f4\u6b63\u6709\u8072\u8aa4\u5224\u70ba\u7121\u8072\u7684\u60c5\u5f62\u3002\u82e5 PPL \u8207 45\u3001\u800c PPR \u70ba 30)\uff0c\u6b64\u6642\u5c31\u5c0b\u627e PPR \u7684 NAC \u51fd\u6578\u5716\u5f62\u4e2d\uf074\u70ba 45 \u7684\u9644\u8fd1\uff0c\u662f\u5426\u5b58 \u5728 NAC \u4fc2\u6578\u503c\u5927\u65bc 0.6 \u7684\u5c40\u90e8\u6700\u5927\u503c PPR' \uff0c\u82e5\u672a\u627e\u5230\u5247\u4ee4 PPR' \u70ba\u96f6\uff1b\u540c\u6a23\u5730\uff0c \u5728 PPL \u7684 NAC \u51fd\u6578\u5716\u5f62\u4e2d\uf074\u70ba 30 \u7684\u9644\u8fd1\uff0c\u627e\u5c0b NAC \u4fc2\u6578\u503c\u5927\u65bc 0.6 \u7684\u5c40\u90e8\u6700 \u5927\u503c PPL' \uff0c\u82e5\u672a\u627e\u5230\u5247\u4ee4 PPL' \u70ba\u96f6\uff1b\u63a5\u8457\uff0c\u8a08\u7b97\uf074\u503c\u7686\u7d04\u70ba 30 \u7684 PPR \u8207 PPL' \u7684\u5e7e\u4f55\u5e73\u5747\u6578 GM1\uff0c\u4ee5\u53ca\uf074\u503c\u7686\u7d04\u70ba 45 \u7684 PPL \u8207 PPR' \u7684\u5e7e\u4f55\u5e73\u5747\u6578 GM2\uff1b\u82e5 GM1 > GM2\uff0c\u5247\u8f38\u51fa PPR \u4e4b\u9577\u5ea6 30\uff0c\u82e5 GM1 < GM2\uff0c\u5247\u8f38\u51fa PPL \u4e4b\u9577\u5ea6 45\uff0c Previous Pitch Waveform, PPW)\uff0c\u800c\u5c07\u5f8c\u4e00\u5c01\u5305\u5167\u6700\u63a5\u8fd1\u907a\u5931 \u5c01\u5305\u7684 PN \u500b\u6a23\u672c\u9ede\uff0c\u4f5c\u70ba\u5f8c\u4e00\u5c01\u5305\u7684\u57fa\u9031\u6ce2\u5f62(Next Pitch Waveform, NPW)\u3002\u4f46 \u7684\u9806\u5e8f\uff0c\u9010\u6b21\u5c0d\u4e00\u500b RPW \u591a\u52a0 1 \u500b\u78da\u584a\uff0c\u76f4\u5230 c \u7b49\u65bc r \u70ba\u6b62\uff0c\u591a\u52a0 \u78da\u584a\u7684\u9806\u5e8f\u662f\u7b2c 1 \u500b RPW\u3001\u7b2c 2 \u500b RPW\u3001\u7b2c 3 \u500b RPW\u3001\u56de\u5230\u7b2c 1 \u662f\u5c07\u5716 13 \u7684 PPW \u8207 NPW \u57fa\u9031\u6ce2\u5f62\u7d93\u904e\u632f\u5e45\u52a0\u6b0a\u3001\u9577\u5ea6\u4f38\u7e2e\u8207 \u6a23\u672c\u9ede\u76f8\u52a0\u4e4b\u5f8c\uff0c\u6240\u91cd\u5efa\u51fa\u7684 RPW \u6ce2\u5f62\u3002 \u5716 PP \u70ba\u6709\u8072\u3001\u800c PN \u70ba\u7121\u8072\u6642\uff0c\u5c31\u9032\u884c PV \u8655\u7406\uff0c\u4ee5 PP \u57fa\u9031\u6ce2\u5f62\u4f86\u8907\u88fd\u3001 \u586b\u6eff\u907a\u5931\u5c01\u5305\u6240\u7522\u751f\u7684\u7a7a\u9699\uff0c\u4e26\u5c0d\u91cd\u5efa\u6ce2\u5f62\u65bd\u884c\u524d\u5411\u632f\u5e45\u8abf\u6574(\u5982\u5716 19 \u6240\u793a)\u3002 \u5305\u5167\u91cd\u5efa\u51fa\u7684\u4fe1\u865f\u6a23\u672c\u9ede\u5e8f\u5217\u3002\u5716 19 \u8aaa\u660e\u4e86 PV \u8655\u7406\u5f8c\uff0c\u4fe1\u865f\u632f\u5e45 \u9010\u6f38\u7531\u5927\u8b8a\u5c0f\u4e4b\u60c5\u5f62\u3002 \u7576 PP \u70ba\u7121\u8072\u3001\u800c PN \u70ba\u6709\u8072\u6642\uff0c\u5c31\u9032\u884c NV \u8655\u7406\uff0c\u4ee5 PN \u57fa\u9031\u6ce2\u5f62\u4f86\u8907\u88fd \u5982\u5716 20 \u6240\u793a\u7684 SNR \u7684\u91cf\u6e2c\u7d50\u679c\u4e2d\uff0c\u4e0d\u8ad6\u5728 10%\u300130%\u8207 50%\u7684\u5c01\u5305\u907a\u5931\u7387 \u4e4b\u6a21\u64ec\u5be6\u9a57\u88e1\uff0c\u672c\u8ad6\u6587\u7814\u7a76\u4e4b TPPWI \u65b9\u6cd5\u5747\u512a\u65bc\u5176\u4ed6\u56db\u7a2e\u65b9\u6cd5\u3002\u4e0d\u904e\uff0c\u5716 20 \u88e1\u91cd\u5efa\u51fa\u7684\u8a9e\u97f3\u6ce2\u5f62\u7684 SNR \u5747\u70ba\u8ca0\u6578\uff0c\u53c3\u8003 SNR \u7684\u8a08\u7b97\u516c\u5f0f\uff0c\u9019\u8868\u793a\u5728 log10 \u5206\uff1b\" \u660e\u986f\u597d\" \u7684\u8a71\uff0c\u5c31\u8a08\u70ba 2 \u5206\uff1b\" \u597d\u5f88\u591a\" \u7684\u8a71\uff0c\u5c31\u8a08\u70ba 3 \u5206\u3002 \u6211\u5011\u7e3d\u5171\u9080\u8acb\u4e86 16 \u4f4d\u53d7\u6e2c\u8005\uff0c\u5e74\u9f61\u4ecb\u65bc 23 \u5230 25 \u6b72\u4e4b\u9593\uff0c\u5176\u4e2d 7 \u4f4d\u662f\u6211\u5011\u5be6\u9a57 \u5ba4\u7684\u6210\u54e1\uff0c\u53e6\u5916 9 \u4f4d\u662f\u5be6\u9a57\u5ba4\u6210\u54e1\u7684\u53cb\u4eba\uff0c\u4e0d\u5177\u8a9e\u97f3\u5c08\u696d\u80cc\u666f\u3002\u6e2c\u8a66\u7684\u8a9e\u6599\u662f\u5510 \u8a69\u6953\u6a4b\u591c\u6cca\uff0c\u5148\u7531\u5973\u751f\u5538\u4e00\u904d\u3001\u518d\u7531\u7537\u751f\u5538\u4e00\u904d\uff0c\u5c01\u88dd\u6210 20 \u6beb\u79d2\u70ba\u55ae\u4f4d\u7684\u5c01\u5305\uff0c \u5973\u6027\u8072\u97f3\u5c01\u5305\u6578\u76ee 535 \u500b\u3001\u7537\u6027\u8072\u97f3\u5c01\u5305\u6578\u76ee 512 \u500b\uff0c\u7e3d\u97f3\u9577 20.94 \u79d2\u9418\u3002 \u807d\u6e2c\u5f8c\uff0c\u5c0d 16 \u4f4d\u53d7\u6e2c\u8005\u7684\u8a55\u5206\u6c42\u51fa\u5e73\u5747\u503c\uff0c\u8a73\u7d30\u6578\u503c\u5982\u8868 2 \u6240\u793a\uff0c\u518d\u4f9d\u8868 2 \u7684\u6578\u503c\u756b\u5716\uff0c\u5f97\u5230\u5716 21 \u6240\u793a\u7684\u66f2\u7dda\uff0c\u5f9e\u6b64\u5716\u53ef\u4ee5\u770b\u5230\uff0c\u5728 10%\u7684\u5c01\u5305\u907a\u5931\u7387 \u4e4b\u60c5\u6cc1\u4e0b\uff0cTPPWI \u6bd4\u7b2c\u4e8c\u540d\u7684 DSPWR \u597d\u4e86 1.625 \u5206\uff0c\u63a5\u8fd1\" \u660e\u986f\u597d\" \uff0c\u6b64\u6642\u7684\u88dc \u511f\u65b9\u6cd5\u6548\u80fd\u6392\u5e8f\u662f\uff1aWSOLA < PM < Rep < DSPWR < TPPWI\uff1b\u5728 30%\u7684\u5c01\u5305\u907a \u5931\u7387\u4e4b\u60c5\u6cc1\u4e0b\uff0cTPBPWI \u6bd4\u7b2c\u4e8c\u540d\u7684 DSPWR \u597d\u4e86 1.375 \u5206\uff0c\u6bd4\" \u597d\u4e00\u4e9b\" \u518d\u597d\u4e00 \u9ede\uff0c\u6b64\u6642\u7684\u88dc\u511f\u65b9\u6cd5\u6548\u80fd\u6392\u5e8f\u662f\uff1aPM < WSOLA < Rep < DSPWR < TPBPWI\uff1b\u5728 50%\u7684\u5c01\u5305\u907a\u5931\u7387\u4e4b\u60c5\u6cc1\u4e0b\uff0cTPBPWI \u6bd4\u7b2c\u4e8c\u540d\u7684 DSPWR \u597d\u4e86 0.875 \u5206\uff0c\u63a5\u8fd1\" \u597d\u4e00\u4e9b\" \uff0c\u6b64\u6642\u7684\u88dc\u511f\u65b9\u6cd5\u6548\u80fd\u6392\u5e8f\u662f\uff1aWSOLA < PM < Rep < DSPWR < TPPWI\u3002 \u6e2c\u8a55\u5206\u6703\u6bd4\u7b2c\u4e8c\u540d\u7684 DSPWR \u5206\u5225\u597d 1.625 \u5206\u8207 1.375 \u5206\u3002 \u6b64\u5916\uff0c\u672c\u6587\u7814\u7a76\u4e86\u4e00\u7a2e\u9069\u7528\u7db2\u8def\u96fb\u8a71\u61c9\u7528\u7684\u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\uff0c\u91cf\u6e2c\u6b63\u898f\u5316\u7684\u81ea \u76f8\u95dc\u51fd\u6578\uff0c\u9031\u671f\u9577\u5ea6\u5075\u6e2c\u7684\u6b63\u78ba\u7387\u9084\u4e0d\u932f\uff0c\u6e2c\u8a66\u5be6\u9a57\u986f\u793a\u53ef\u4ee5\u9054\u5230 96.3%\u7684\u6b63\u78ba", |
|
"html": null, |
|
"content": "<table><tr><td>\u5716 6 \u5973\u6027\u8072\u97f3\u6ce2\u5f62\u4f8b\u5b50 1 max \uf02b \uf074 \u7bc4\u570d\u5167\u7684\u6578\u503c\u4f9d\u5e8f\u4ee3\u5165\u516c\u5f0f(1)\uff0c\u4e26\u5c07\u6c42\u5f97\u4e4b \u570d\u5167\uff0c\u4ea6\u5373\u4ecb\u65bc \u6b65\u9a5f(1.1): \u5c07 1 min \uf02d \uf074 \u5230 50 2 ) 5 30 ( \uf03d \uf0b4 \uf02d \u5230 70 2 ) 5 30 ( \uf03d \uf0b4 \uf02b \u4e4b\u9593\uff0c\u800c\u4e14\u7b2c 3 \u500b \uf074\u503c 91\uff0c\u4e5f\u4ecb\u65bc 75 3 ) 5 30 ( \uf03d \uf0b4 \uf02d \u5230 105 3 ) 5 30 ( \uf03d \uf0b4 \uf02b \u4e4b\u9593\uff0c\u56e0\u6b64\u5224\u5b9a 30 \u70ba\u6240\u6c42\u7684 PP \u9577\u5ea6\u3002 \u5716 7 NAC \u51fd\u6578\u5716\u5f62 \u89c0\u5bdf\u5716 6 \u7684\u6ce2\u5f62\uff0c\u53ef\u4ee5\u78ba\u8a8d\u8a72\u5c01\u5305\u7684 PP \u9031\u671f\u9577\u5ea6\u5927\u81f4\u70ba 30 \u500b\u6a23\u672c\u9ede\uff0c\u800c\u6574\u500b \u5c01\u5305\u5167\u5927\u7d04\u6709 5 \u500b\u9019\u6a23\u7684\u57fa\u9031\u6ce2\u5f62\u3002 3.2 \u57fa\u9031\u78ba\u8a8d \u5728 NAC \u51fd\u6578\u5716\u5f62\u7684 PeakTH \u6c34\u5e73\u7dda\u4e4b\u4e0a\uff0c\u7531\u65bc\u5973\u6027\u8072\u97f3\u7684\u57fa\u9031\u9577\u5ea6\u8f03\u77ed\uff0c \u56e0\u6b64\u5973\u6027\u8072\u97f3\u901a\u5e38\u6703\u6709\u591a\u500b\u5cf0\u9ede\uff0c\u800c\u7537\u6027\u8072\u97f3\u7684\u57fa\u9031\u9577\u5ea6\u8f03\u9577\uff0c\u5927\u591a\u53ea\u6703\u6709\u4e00\u500b \u5cf0\u9ede\u3002\u5728\u5927\u65bc PeakTH \u7684\u5cf0\u9ede\u53ea\u6709\u4e00\u500b\u7684\u60c5\u6cc1\u4e0b\uff0c\u70ba\u4e86\u5f37\u5316\u5c0d\u7121\u8072\u96dc\u8a0a\u8207\u7537\u6027\u6709 \u8072\u8072\u97f3\u7684\u5340\u5225\u80fd\u529b\uff0c\u672c\u6587\u4f7f\u7528\u4e00\u500b\u6ce2\u5f62\u76f8\u4f3c\u5ea6\u7684\u5224\u65b7\uff1a\u82e5\u6b64\u5cf0\u9ede\u7684\u6a6b\u5ea7\u6a19\uf074\u503c\u5c0f \u65bc\u7b49\u65bc 50\uff0c\u5247\u6b64\u5cf0\u9ede\u7684 NAC \u6578\u503c\u5fc5\u9808\u5927\u65bc 0.8(\u6ce2\u5f62\u76f8\u4f3c\u5ea6 80%)\uff0c\u53cd\u4e4b\uff0c\u82e5\uf074\u503c \u5927\u65bc 50\uff0c\u56e0\u70ba\u6ce2\u5f62\u5167\u5bb9\u7684\u53ef\u80fd\u8b8a\u5316\u8f03\u591a\uff0c\u56e0\u6b64 NAC \u4fc2\u6578\u503c\u53ea\u9700\u8981\u5927\u65bc 0.6(\u6ce2\u5f62 \u76f8\u4f3c\u5ea6 60%)\u3002\u7576 NAC \u6578\u503c\u6709\u8d85\u904e\u6240\u8a2d\u5b9a\u7684\u9580\u6abb\uff0c\u624d\u5c07\uf074\u503c\u7576\u4f5c\u57fa\u9031\u9577\u5ea6\u8f38\u51fa\uff1b \u5c0d\u65bc\u5927\u65bc PeakTH \u7684\u5cf0\u9ede\u8d85\u904e\u4e00\u500b\u7684\u60c5\u6cc1\u4e0b\uff0c\u63a1\u7528\u7684\u76f8\u4f3c\u5ea6\u9580\u6abb\u503c\u5247\u70ba 0.8\u3002 PPR \u7686\u4e0d\u70ba\u96f6\uff0c\u4f46\u6578\u503c\u8f03\u5927\u8005\u9664\u4ee5\u6578\u503c\u8f03\u5c0f\u8005\u7684\u6bd4\u503c\u5927\u65bc 1.4\uff0c\u5247\u8868\u793a\u5169\u8005\u6578\u503c \u5dee\u7570\u904e\u5927\uff0c\u5728\u540c\u4e00\u500b\u5c01\u5305\u4e2d\u57fa\u9031\u9577\u5ea6\u4e0d\u61c9\u6703\u767c\u751f\u5982\u6b64\u5287\u70c8\u7684\u8b8a\u5316(\u4f8b\u5982\uff1aPPL \u70ba \u85c9\u6b64\u66f4\u6b63\" \u9031\u671f\u9577\u5ea6\u8aa4\u5224\" \u7684\u60c5\u5f62\u3002 3.3 \u6e2c\u8a66\u5be6\u9a57 (11)\u3002 \u5be6\u9a57\u7684\u65b9\u5f0f\u662f\uff0c\u6bcf\u500b\u5c01\u5305\u90fd\u6703\u88ab\u7576\u4f5c\u662f\" \u524d\u4e00\u5c01\u5305\" \u8207\" \u5f8c\u4e00\u5c01\u5305\" \uff0c\u7136\u5f8c\u5206\u5225 \u7531\u53f3\u81f3\u5de6\u8207\u7531\u5de6\u81f3\u53f3\u53bb\u5075\u6e2c PP \u8207 PN \u7684\u57fa\u9031\u9577\u5ea6\uff0c\u6240\u4ee5\u57fa\u9031\u5075\u6e2c\u7684\u6b21\u6578\u662f\u5c01\u5305 \u6578\u76ee\u7684\u5169\u500d\u3002\u7a0b\u5f0f\u5075\u6e2c\u51fa PP \u8207 PN \u6578\u503c\u5f8c\uff0c\u518d\u4ee5\u4eba\u5de5\u65b9\u5f0f\u6aa2\u67e5\u6240\u5f97\u7684\u6578\u503c\u7684\u6b63 \u78ba\u6027\uff0c\u7d50\u679c\u5982\u8868 1 \u6240\u793a\u3002\u5176\u4e2d\" \u8aa4\u5224\u9031\u671f\" \u8868\u793a\u57fa\u9031\u9577\u5ea6\u88ab\u8aa4\u5224\u70ba\u5be6\u969b\u9031\u671f\u7684\u500d\u6578\uff0c\" \u8aa4\u5224\u6709\u8072\" \u8868\u793a\u7121\u8072\u4fe1\u865f\u88ab\u8aa4\u5224\u70ba\u6709\u8072\uff0c\" \u8aa4\u5224\u7121\u8072\" \u8868\u793a\u6709\u8072\u4fe1\u865f\u88ab\u8aa4\u5224\u70ba\u7121\u8072\u3002 \u8868 1 \u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\u4e4b\u6b63\u78ba\u7387 \u96d9\u5b57\u8a5e \u6e2c\u8a66\u8a9e\u6599 \u5c01\u5305 \u6578\u76ee \u5075\u6e2c \u6b21\u6578 \u8aa4\u5224 \u9031\u671f \u8aa4\u5224 \u6709\u8072 \u8aa4\u5224 \u7121\u8072 \u6b63\u78ba\u7387 \u7b2c 1 \u4f4d\u5973\u8072 320 640 2 1 8 98.28% \u7b2c 2 \u4f4d\u5973\u8072 282 564 0 6 1 98.75% \u5973\u8072\u7d71\u8a08 602 1204 2 7 9 98.52% \u7b2c 1 \u4f4d\u7537\u8072 265 530 1 7 17 95.28% \u7b2c 2 \u4f4d\u7537\u8072 249 498 16 5 14 92.97% \u7537\u8072\u7d71\u8a08 514 1028 17 12 31 94.12% \u6574\u9ad4\u7d71\u8a08 1116 2232 19 19 40 96.32% \u5be6\u9a57\u7d50\u679c\u986f\u793a\uff0c\u6211\u5011\u7684\u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\u5c0d\u65bc\u5973\u6027\u8072\u97f3\u7684\u5e73\u5747\u5075\u6e2c\u6b63\u78ba\u7387\u70ba 98.52%\uff0c\u5c0d\u65bc\u7537\u6027\u8072\u97f3\u7684\u5e73\u5747\u5075\u6e2c\u6b63\u78ba\u7387\u70ba 94.12%\uff0c\u6574\u9ad4\u7684\u5e73\u5747\u5075\u6e2c\u6b63\u78ba\u7387\u662f 96.32%\u3002\u7537\u6027\u8072\u97f3\u7684\u57fa\u9031\u5075\u6e2c\u6b63\u78ba\u7387\u8f03\u4f4e\uff0c\u662f\u56e0\u70ba\u7537\u8072\u57fa\u9031\u6bd4\u8f03\u9577\uff0c\u5728\u4f7f\u7528\u516c\u5f0f (1)\u4f5c\u8a08\u7b97\u6642\uff0c\u8a08\u7b97\u7bc4\u570d\u6703\u53d7\u5230\u9650\u5236\u3002\u4ee5\u7b2c 2 \u4f4d\u7537\u6027\u8072\u97f3\u70ba\u4f8b\uff0c\u4ed6\u7684\u8072\u97f3\u6bd4\u8f03\u4f4e \u6c88\uff0c\u57fa\u9031\u9577\u5ea6\u7d93\u5e38\u8d85\u904e 100 \u500b\u6a23\u672c\u9ede\uff0c\u6240\u4ee5\u4ed6\u7684\u57fa\u9031\u5075\u6e2c\u6b63\u78ba\u7387\u53ea\u6709 92.97%\u3002 4. \u96d9\u908a\u6709\u8072 BV \u4e4b\u8655\u7406 \u5728\u524d\u3001\u5f8c\u5c01\u5305\u5747\u70ba\u6709\u8072(PP \u8207 PN \u5747\u70ba\u6709\u8072)\u7684\u60c5\u6cc1\u4e0b\uff0c\u88dc\u511f\u65b9\u6cd5\u7684\u597d\u58de\uff0c\u5c0d \u91cd\u5efa\u8a9e\u97f3\u7684\u54c1\u8cea\u5f71\u97ff\u662f\u6700\u5927\u7684\u3002\u672c\u6587\u7684 TPPWI \u6cd5\uff0c\u5176\u4e3b\u8981\u8655\u7406\u6b65\u9a5f\u662f\uff0c\u5148\u5c0d\u5de6\u3001 \u53f3\u5c01\u5305\u7684\u57fa\u9031\u6ce2\u5f62\u53d6\u5f97\u76f8\u4f4d\u540c\u6b65\u4e26\u4f5c\u76f8\u4f4d\u5c0d\u9f4a\uff0c\u518d\u5c0d\u4fee\u88dc\u5f8c\u7684\u5269\u9918\u7a7a\u9699\u8a02\u5b9a\u9700\u8981 \u91cd\u5efa\u7684\u9031\u671f\u500b\u6578\u3001\u8207\u6c7a\u5b9a\u5404\u9031\u671f\u7684\u9577\u5ea6\uff0c\u7136\u5f8c\u9032\u884c\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u8655\u7406\u4ee5\u7522\u751f\u51fa\u5404 \u9031\u671f\u7684\u6ce2\u5f62\u5167\u5bb9\u3002\u9019\u88e1\u7684\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u4e4b\u89c0\u5ff5\u3001\u4f5c\u6cd5\uff0c\u662f\u555f\u767c\u81ea\u6211\u5011\u5148\u524d\u7814\u7a76\u570b \u8a9e\u8a9e\u97f3\u5408\u6210\u6642\u63d0\u51fa\u7684 TIPW \u4fe1\u865f\u6ce2\u5f62\u5408\u6210\u6cd5[13]\uff0c\u6b64\u5916\u7531\u65bc BV \u8655\u7406\u662f\u88dc\u511f\u65b9\u6cd5 \u4e4b\u91cd\u9ede\uff0c\u56e0\u6b64\u6211\u5011\u7684\u88dc\u511f\u65b9\u6cd5\u7684\u540d\u7a31 TPPWI\uff0c\u5c31\u53d6\u81ea\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u7684\u7e2e\u5beb\u3002 4.1 \u57fa\u9031\u6ce2\u5f62\u4e4b\u540c\u6b65 \u7531\u65bc\u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\u53ea\u6c7a\u5b9a\u57fa\u9031\u7684\u9577\u5ea6\uff0c\u56e0\u6b64\u9700\u8981\u9032\u4e00\u6b65\u78ba\u5b9a\u4e00\u500b\u57fa\u9031\u5167\u7684\u6ce2 \u5f62\u5167\u5bb9\u3002\u7fd2\u7528\u7684\u65b9\u6cd5\u662f\uff0c\u5c07\u524d\u4e00\u5c01\u5305\u5167\u6700\u63a5\u8fd1\u907a\u5931\u5c01\u5305\u7684 PP \u500b\u6a23\u672c\u9ede\uff0c\u4f5c\u70ba\u524d \u4e00\u5c01\u5305\u4e4b\u57fa\u9031\u6ce2\u5f62(\u662f\uff0c\u672c\u6587\u8003\u616e\u5230\u4e0b\u4e00\u6b65\u9a5f\u88e1\uff0c\u8981\u5c0d\u96d9\u908a\u5c01\u5305\u7684\u57fa\u9031\u6ce2\u5f62\u4f5c\u5167\u5dee\uff0c\u6240\u4ee5\u5fc5\u9700\u5148\u5c0d\u96d9 \u908a\u57fa\u9031\u6ce2\u5f62\u7684\u5cf0\u9ede\u4f4d\u7f6e(\u6ce2\u5cf0)\u53d6\u5f97\u540c\u6b65(\u76f8\u4f4d\u540c\u6b65)\uff0c\u5426\u5247\u7576\u5dee\u7570\u592a\u5927\u6642(\u5982\u6ce2\u5cf0\u5c0d \u61c9\u5230\u6ce2\u8c37)\uff0c\u5167\u5dee\u5f97\u5230\u7684\u632f\u5e45\u5c07\u6703\u8da8\u8fd1\u65bc\u96f6\u3002\u5c0d\u65bc\u57fa\u9031\u6ce2\u5f62\u53d6\u5f97\u540c\u6b65\u7684\u8655\u7406\uff0c\u4ee5\" \u524d\u4e00\u5c01\u5305\" \u70ba\u4f8b\uff0c\u6211\u5011\u65b9\u6cd5\u7684\u6b65\u9a5f\u5982\u4e0b\uff1a \u6b65\u9a5f(2.1): \u5f9e\u524d\u4e00\u5c01\u5305\u4e2d\uff0c\u9078\u53d6\u6700\u53f3\u908a\u3001\u9577\u5ea6\u70ba PP \u500b\u6a23\u672c\u9ede\u7684\u6ce2\u5f62\uff0c\u4f5c\u70ba\u521d\u59cb \u7684\u524d\u4e00\u57fa\u9031\u6ce2\u5f62 PPW' \uff0c\u5982\u5716 8 \u6240\u793a\u3002 \u6b65\u9a5f(2.2): \u627e\u5230 PPW'\u7684\u6ce2\u5cf0\uff0c\u4ee5\u6b64\u9ede\u70ba\u5206\u754c\uff0c\u5c07\u6ce2\u5f62\u5207\u6210\u5de6\u53f3\u5169\u6bb5\uff0c\u518d\u5c07\u524d \u534a\u6bb5\u6ce2\u5f62\u8907\u88fd\u5230\u5f8c\u534a\u6bb5\u6ce2\u5f62\u7684\u5f8c\u9762\uff0c\u6210\u70ba\u524d\u4e00\u5c01\u5305\u7684\u57fa\u9031\u6ce2\u5f62 PPW\uff0c\u5982\u5716 9 \u6240\u793a\uff0c\u5982\u6b64\u8abf\u6574\u5f8c\u7684\u57fa\u9031\u6ce2\u5f62\u4e4b\u8d77\u9ede\u5c07\u7531\u6ce2\u5cf0\u958b\u59cb\u3002 \u6ce2\u5cf0 \u57fa\u9031 \u6ce2\u5f62 \u8abf\u6574 PPW' PPW' \u5c01\u5305\u908a\u754c \u907a\u5931\u5c01\u5305\u7522\u751f\u7684\u7a7a\u9699 \u6ce2\u5cf0 \u5716 10 \u88dc\u6eff\u5c01\u5305\u9023\u63a5\u8655\u7684\u57fa\u9031\u6ce2\u5f62 4.2 \u57fa\u9031\u500b\u6578\u8207\u9577\u5ea6\u8a02\u5b9a \u96d9\u908a\u5c01\u5305\u7684\u57fa\u9031\u9577\u5ea6\u95dc\u4fc2\u5171\u6709\u4e09\u7a2e\u60c5\u6cc1\uff0c\u4ea6\u5373 PP > PN\uff0cPP < PN\uff0c\u6216 PP = PN\uff0c\u56e0\u6b64\u5269\u9918\u7a7a\u9699\u5167\u8981\u586b\u5165\u7684\u91cd\u5efa\u57fa\u9031\u6ce2\u5f62(Reconstructed Pitch Waveform, RPW) \u7684\u500b\u6578\u8207\u9577\u5ea6\uff0c\u6c7a\u5b9a\u4e4b\u65b9\u6cd5\u4e5f\u7a0d\u6709\u4e0d\u540c\u3002\u4ee4\u5269\u9918\u7a7a\u9699\u7684\u9577\u5ea6\u70ba r\uff0c\u9996\u5148\u5c31\u4f9d\u64da r \u5c07\u57fa\u9031\u9577\u5ea6\u60f3\u50cf\u6210\u662f\" \u78da\u584a\" \u6578\u76ee\uff0c\u5982\u6b64\u8abf\u6574\u57fa\u9031\u9577\u5ea6\u5c31\u76f8\u7576\u65bc\u8abf\u6574 \u78da\u584a\u7684\u5806\u7a4d\u9ad8\u5ea6\u3002 \u6b65\u9a5f(3.2): \u4f9d\u64da\u659c\u7387\uff0c\u7dda\u6027\u5730\u70ba\u9019 p N \u500b\u57fa\u9031\u758a\u4e0a\u78da\u584a\u3002\u4ee5\u5716 12 \u70ba\u4f8b\uff0c PP \u70ba 3\u3001 PN \u70ba 7\u3001 p N \u70ba 3\uff0c\u6545\u659c\u7387\u70ba 4/3\uff0c\u56e0\u6b64\u9019\u4e09\u500b RPW \u7684\u9577\u5ea6\u5c31\u4f9d\u6b64\u659c \u7387\u4f86\u4f5c\u5fae\u8abf\uff0c\u5206\u5225\u662f 4/3\u3001(4/3)*2 = 8/3 \u548c(4/3)*3 = 4\uff0c\u56db\u6368\u4e94\u5165\u5f8c\u5206 \u5225\u70ba\u591a\u758a 1 \u500b\u30013 \u500b\u8207 4 \u500b\u78da\u584a\u3002 \u6b65\u9a5f(3.3): \u5c07\u7dda\u6027\u5fae\u8abf\u5f8c\u7684 RPW \u9577\u5ea6\u76f8\u52a0\uff0c\u5f97\u5230\u586b\u5165\u7684\u7e3d\u9577\u5ea6 c\uff0c\u4ee5\u5716 12 \u70ba \u4f8b\uff0c\u6b64\u6642\u7684\u7e3d\u9577\u5ea6\u70ba 4 + 6 + 7 = 17\u3002\u63a5\u8457\u5c07 c \u8207 r \u76f8\u6e1b\uff0c\u5f97\u5230\u5dee\u503c d\u3002 \u82e5 d = 0\uff0c\u8868\u793a RPW \u7684\u9577\u5ea6\u5728\u6b65\u9a5f(3.2)\u7684\u5fae\u8abf\u8655\u7406\u5f8c\uff0c\u5df2\u7d93\u662f\u6700\u4f73 \u7684\u7d44\u5408\u4e86\u3002 \u6b65\u9a5f(3.4): \u82e5 d < 0\uff0c\u8868\u793a\u9084\u9700\u8981\u518d\u758a\u4e00\u4e9b\u78da\u584a\uff0c\u6b64\u6642\u4fbf\u4ee5\u7531\u5de6\u81f3\u53f3(\u7531\u4f4e\u81f3\u9ad8) PPW \u5269\u9918\u7a7a\u9699 \u5c01\u5305\u908a\u754c \u7b2c 2 \u500b RPW\u3001\u7b2c 1 \u500b RPW\u3001\u56de\u5230\u7b2c 3 \u500b RPW\u2026\u3002 \u5716 11 \u586b\u5165\u7b49\u9577\u4e4b\u57fa\u9031\u81f3\u5269\u9918\u7a7a\u9699 \u5716 12 \u7dda\u6027\u65b9\u5f0f\u5fae\u8abf\u5f8c\u7684\u78da\u584a\u6578\u76ee \u81f3\u65bc PP > PN \u7684\u60c5\u5f62\uff0c\u4ea6\u53ef\u63a1\u76f8\u540c\u4e4b\u65b9\u6cd5\uff0c\u53ea\u8981\u5c07\u5716 11 \u7684\u793a\u610f\u5716\u53cd\u8f49\u904e\u4f86\uff0c\u8b8a \u6210\u78da\u584a\u5806\u5f97\u8f03\u9ad8\u8005\u5728\u5de6\u908a\u5373\u53ef\u3002 4.3 \u57fa\u9031\u6ce2\u5f62\u5167\u5dee \u672c\u6587\u4f5c\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u4e4b\u65b9\u6cd5\uff0c\u6b65\u9a5f\u5982\u4e0b\uff1a \u6b65\u9a5f(4.1): \u96d9\u908a\u5c01\u5305\u7684\u57fa\u9031\u6ce2\u5f62 PPW \u8207 NPW \u5728 4.1 \u7bc0\u4fbf\u5df2\u7d93\u6c7a\u5b9a\u597d\u4e86\uff0c\u9019\u88e1 \u9996\u5148\u4f9d\u7dda\u6027\u6642\u9593\u6bd4\u4f8b\uff0c\u4f86\u6c7a\u5b9a\u5b83\u5011\u7684\u5167\u5dee\u52a0\u6b0a\u503c w1 \u8207 w2\uff0c\u5982\u516c\u5f0f (3)\u6240\u793a\uff0c r g w r g r w \uf03d \uf02d \uf03d 2 , 1 (3) \u5176\u4e2d r \u8868\u793a\u5269\u9918\u7a7a\u9699\u7684\u9577\u5ea6\uff0cg \u8868\u793a\u8981\u91cd\u5efa\u7684\u90a3\u500b RPW \u7684\u4e2d\u5fc3\u9ede\u4f4d \u7f6e\u3002\u4f8b\u5982\u5728\u5716 13 \u4e2d\uff0c\u5269\u9918\u7a7a\u9699\u5167\u53ea\u5920\u586b\u5165\u4e00\u500b RPW\uff0c\u56e0\u6b64\u8a08\u7b97\u51fa \u4f86\u7684 w1 = w2 = 0.5\u3002\u53e6\u5916\u7531\u516c\u5f0f(3)\u53ef\u77e5\uff0c\u5728\u5269\u9918\u7a7a\u9699\u4e2d\uff0c\u96e2 PPW \u8f03 \u8fd1\u7684 RPW\uff0c\u6ce2\u5f62\u6703\u6bd4\u8f03\u8fd1\u4f3c\u65bc PPW\uff0c\u76f8\u53cd\u5730\uff0c\u96e2 NPW \u8f03\u8fd1\u7684 RPW\uff0c \u5176\u6ce2\u5f62\u6703\u8f03\u50cf NPW\u3002 \u6b65\u9a5f(4.2): \u5206\u5225\u5c07 PPW \u8207 NPW \u7684\u6a23\u672c\u9ede\u4e58\u4ee5 w1 \u8207 w2\u3002\u4f8b\u5982\u5728\u5716 13 \u4e2d\uff0c\u76f8 \u4e58\u5f8c\u57fa\u9031\u6ce2\u5f62\u7684\u632f\u5e45\u5c07\u7531-6000 \u81f3 5000 \u7684\u7bc4\u570d\uff0c\u964d\u70ba-3000 \u81f3 2500\u3002 \u6b65\u9a5f(4.3): PPW\u3001NPW \u8207 RPW \u7684\u9577\u5ea6\u4e00\u822c\u4f86\u8aaa\u90fd\u4e0d\u4e00\u6a23\uff0c\u6b64\u6642\u53ef\u4f7f\u7528\u5982\u516c\u5f0f (4)\u6240\u793a\u7684\u9918\u5f26\u7a97(cos window) \uff0c PN \u5269\u9918\u7a7a\u9699 PP PN PP \u5269\u9918\u7a7a\u9699 \u5716 13 \u52a0\u6b0a\u503c w1, w2 \u8207\u91cd\u5efa\u57fa\u9031\u4e4b\u4e2d\u5fc3\u9ede g 1 0 , 2 cos 5 . 0 5 . 0 ) ( \uf02d \uf0a3 \uf0a3 \uf0f7 \uf0f8 \uf0f6 \uf0e7 \uf0e8 \uf0e6 \uf0b4 \uf02b \uf03d N n N n n w \uf070 (4) \u4f86\u5c07 PPW \u8207 NPW \u7684\u6ce2\u5f62\u9577\u5ea6\u4f5c\u4f38\u5c55\u6216\u58d3\u7e2e\uff0c\u4ee5\u4fbf\u8abf\u6574\u6210\u548c RPW \u7684 \u9577\u5ea6\u76f8\u540c\u3002\u9019\u88e1\u6211\u5011\u4e0d\u80fd\u4ee5 resampling \u65b9\u5f0f\u4f86\u4f5c\uff0c\u56e0\u70ba\u55ae\u7d14\u7684 resampling \u8655\u7406\uff0c\u6703\u7834\u58de\u539f\u8a9e\u97f3\u7684\u97f3\u8272[13]\u3002\u9918\u5f26\u7a97\u7684\u51fd\u6578\u5716\u5f62\u5982\u5716 14 \u6240\u793a\uff0c\u6578\u503c\u4ecb\u65bc 0 \u5230 1 \u4e4b\u9593\u3002 (a) \u9918\u5f26\u7a97\u51fd\u6578 (b)\u5de6\u534a\u908a\u9918\u5f26\u7a97 (c)\u53f3\u534a\u908a\u9918\u5f26\u7a97 \u5716 14 \u9918\u5f26\u7a97\u7684\u51fd\u6578\u5716\u5f62 \u4f38\u5c55\u8655\u7406: \u5047\u8a2d\u8981\u5c07\u9577\u5ea6 30 \u4e4b PPW \u4f38\u5c55\u6210\u9577\u5ea6 35\uff0c\u4ee5\u914d\u5408\u9577\u5ea6 35 \u4e4b RPW\uff0c\u90a3\u9ebc\u5c31\u5148\u8a2d\u5b9a\u9918\u5f26\u7a97\u9577\u5ea6 N = 30 \u00d7 2 = 60\uff0c\u518d\u5c07 PPW \u7684 30 \u500b\u6a23\u672c\u9ede\u4e58\u4e0a\u5de6\u534a\u908a\u9918\u5f26\u7a97(\u5982\u5716 14(b)\u6240\u793a)\uff0c\u7d50\u679c\u653e\u81f3 RPW \u6846 \u7684\u5de6\u908a\uff0c\u4e14\u8207 RPW \u6846\u5de6\u908a\u754c\u5c0d\u9f4a\uff0c\u5982\u5716 15(a)\u6240\u793a\u7684 PPW-L \u6ce2\u5f62\uff1b \u63a5\u8457\u518d\u5c07 PPW \u4e58\u4e0a\u53f3\u534a\u908a\u9918\u5f26\u7a97(\u5982\u5716 14(c)\u6240\u793a)\uff0c\u7d50\u679c\u653e\u81f3 RPW \u6846\u7684\u53f3\u908a\uff0c\u4e14\u8207 RPW \u6846\u53f3\u908a\u754c\u5c0d\u9f4a\uff0c\u5982\u5716 15(b)\u6240\u793a\u7684 PPW-R \u6ce2\u5f62\uff1b \u7136\u5f8c\u5c0d\u91cd\u758a\u7684\u90e8\u5206\u4f5c\u758a\u52a0\u8655\u7406\u3002 2 N 2 N 1 0 1 0 1 0 g \u5269\u9918\u7a7a\u9699 NPW PPW -6000 5000 w1 w2 \u632f \u5e45 \u5716 15 \u4ee5\u9918\u5f26\u7a97\u4f5c\u6ce2\u5f62\u9577\u5ea6\u4f38\u5c55 RPW \u6846\u53f3\u908a\u754c\u5c0d\u9f4a\uff0c\u5982\u5716 16(b)\u6240\u793a\u7684 PPW-R \u6ce2\u5f62\uff1b\u7136\u5f8c\u5c0d\u91cd\u758a\u7684 \u90e8\u5206\u4f5c\u758a\u52a0\u8655\u7406\uff0c\u800c\u5f97\u5230 PPW-LR \u8f38\u51fa\u6ce2\u5f62\u3002 \u5716 16 \u4ee5\u9918\u5f26\u7a97\u4f5c\u6ce2\u5f62\u9577\u5ea6\u58d3\u7e2e \u6b65\u9a5f(4.4): \u7d93\u904e\u6b65\u9a5f(4.3)\u7684\u6ce2\u5f62\u4f38\u7e2e\u4e4b\u5f8c\uff0c\u57fa\u9031\u6ce2\u5f62 PPW\u3001NPW \u8207 RPW \u7684\u9577 \u6b65\u9a5f(5.2): for(i = 0; i < N; i++) s[i] *= 1 + factor * i\uff1b \u97f3\u54c1\u8cea\u6bd4\u8f03\u597d\uff0c\u4ee5\u53ca\u597d\u591a\u5c11\u3002\u5982\u679c\" \u5206\u4e0d\u51fa\u597d\u58de\" \u7684\u8a71\uff0c\u5c31\u8a08\u70ba 0 \u5206\uff1b\" \u597d\u4e00\u4e9b\" \u7684 \u7565\u905c\u4e00\u4e9b\uff0c\u539f\u56e0\u662f\u5b83\u5011\u5728\u641c\u5c0b\u6700\u76f8\u4f3c\u6ce2\u5f62\u7684\u6b65\u9a5f\u4e0a\u5b58\u5728\u7455\u75b5\uff0c\u4e5f\u5c31\u662f\u8aaa\u641c\u5c0b\u7bc4\u570d \u503c\u4e86\uff0c\u56e0\u6b64\u53ea\u8981\u5c07\u5b83\u5011\u7684\u6bcf\u500b\u6a23\u672c\u9ede\u76f8\u52a0\uff0c\u5373\u53ef\u5f97\u5230 RPW \u6ce2\u5f62\u3002\u5716 \u5305\u4e4b\u7121\u8072\u4fe1\u865f\u7684\u632f\u5e45\u8f03\u5c0f\uff0c\u6545 factor \u6703\u662f\u8ca0\u503c\u3002 \u8a55\u5206\u65b9\u5f0f\u662f\u5728\u53d7\u6e2c\u8005\u4e0d\u77e5\u9053\u7d44\u5408\u65b9\u5f0f\u7684\u60c5\u6cc1\u4e4b\u4e0b\uff0c\u8acb\u4ed6\u5011\u6311\u9078\u51fa\u90a3\u4e00\u500b\u97f3\u6a94\u7684\u8a9e \u5f9e\u9019\u4e09\u7d44\u6578\u64da\u4e2d\u6211\u5011\u53ef\u4ee5\u767c\u73fe\uff0cPM \u8207 WSOLA \u7684\u6548\u80fd\u6bd4\u6700\u5bb9\u6613\u5be6\u4f5c\u7684 Rep \u5ea6\u90fd\u8b8a\u6210\u76f8\u540c\uff0c\u800c\u4e14 PPW \u8207 NPW \u7684\u5167\u5bb9\u5728\u6b65\u9a5f(4.2)\u5df2\u7d93\u4e58\u4ee5\u52a0\u6b0a 25 (c) (b) (a) PPW-L \u5de6\u908a\u6ce2\u5f62\uff1a PPW-R \u53f3\u908a\u6ce2\u5f62\uff1a PPW-LR \u8f38\u51fa\u6ce2\u5f62\uff1a (c) 30 (b) (a) PPW-L \u5de6\u908a\u6ce2\u5f62\uff1a PPW-R \u53f3\u908a\u6ce2\u5f62\uff1a PPW-LR \u8f38\u51fa\u6ce2\u5f62\uff1a 17 \u7576\u57fa\u9031\u5075\u6e2c\u65b9\u6cd5\u5728\u907a\u5931\u5c01\u5305\u96d9\u908a\u7684\u5c01\u5305\u5167\u90fd\u5075\u6e2c\u4e0d\u5230\u9031\u671f\u6642\uff0c\u8868\u793a\u907a\u5931\u5c01\u5305 \u7684\u96d9\u908a\u5c01\u5305\u5167\u7684\u6ce2\u5f62\u662f\u7121\u8072\u4fe1\u865f\uff0c\u6b64\u6642\u5c31\u4ee5 BU (Both Unvoiced)\u65b9\u5f0f\u8655\u7406\u3002\u4ee5\u5716 18 \u70ba\u4f8b\uff0c\u82e5\u8a72\u6ce2\u5f62\u70ba\u4e00\u500b\u524d\u4e00\u5c01\u5305\u5167\u7684\u8a9e\u97f3\u6ce2\u5f62\uff0c\u96a8\u8457\u6642\u9593\u8a72\u6ce2\u5f62\u4e5f\u7531\u632f\u5e45\u8f03 \u5927\u4e14\u5177\u6709\u9031\u671f\u6027\u7684\u6ce2\u5f62\uff0c\u9010\u6f38\u8f49\u70ba\u632f\u5e45\u8f03\u5c0f\u4e14\u7121\u9031\u671f\u6027\u7684\u6ce2\u5f62\uff0c\u56e0\u70ba\u5728\u524d\u4e00\u5c01\u5305 \u7576\u4e2d\uff0c\u57fa\u9031\u5075\u6e2c\u662f\u7531\u53f3\u81f3\u5de6\u9032\u884c\u7684\uff0c\u56e0\u6b64\u6703\u5075\u6e2c\u4e0d\u5230\u8a9e\u97f3\u8a0a\u865f\u7684\u9031\u671f\u3002\u70ba\u4e86\u907f\u514d \u8a72\u7121\u8072\u8a0a\u865f\u5167\u53ef\u80fd\u5305\u542b\u6709\u96dc\u8a0a\u7684\u4f8b\u5916\u72c0\u6cc1\uff0c\u5982\u5716 18 \u5f8c\u534a\u6bb5\u5c01\u5305\u7684\u7b2c 2 \u500b\u56db\u5206\u4e4b \u4e00\u6ce2\u5f62\u6240\u793a\uff0c\u9700\u5148\u8a08\u7b97\u5f8c\u534a\u6bb5\u5c01\u5305\u7684\u5169\u500b\u56db\u5206\u4e4b\u4e00\u6ce2\u5f62\u5167\uff0c\u5404\u81ea\u7684\u5cf0\u8c37\u9593\u632f\u5e45 \u503c\uff1b\u63a5\u8457\uff0c\u5c07\u8a72\u4e8c\u5cf0\u8c37\u9593\u632f\u5e45\u503c\u4e4b\u4e2d\u6578\u503c\u8f03\u5927\u8005\u9664\u4ee5\u6578\u503c\u8f03\u5c0f\u8005\uff0c\u5f97\u5230\u4e00\u500b\u5dee\u7570 \u500d\u6578\u7684\u6bd4\u503c\uff1b\u82e5\u8a72\u6bd4\u503c\u5927\u65bc 1.4\uff0c\u8868\u793a\u53ef\u80fd\u5b58\u5728\u632f\u5e45\u7a81\u7136\u8b8a\u5927\u7684\u96dc\u8a0a\uff0c\u6545\u53ea\u4ee5\u5cf0 \u8c37\u9593\u632f\u5e45\u503c\u8f03\u5c0f\u7684\u90a3\u6bb5\u56db\u5206\u4e4b\u4e00\u6ce2\u5f62\u4f86\u91cd\u8907\u586b\u5165\u5169\u6b21\u5230\u907a\u5931\u5c01\u5305\u5167\uff1b\u53cd\u4e4b\uff0c\u5247\u8868 \u793a\u7121\u8072\u8a0a\u865f\u7684\u8b8a\u52d5\u4e0d\u5927\uff0c\u56e0\u6b64\u53ef\u4ee5\u62ff\u524d\u4e00\u5c01\u5305\u7684\u5f8c\u534a\u6bb5\u6ce2\u5f62\u4f86\u586b\u5165\u907a\u5931\u5c01\u5305\u7684\u7a7a \u9699\u5167\u3002\u5f8c\u4e00\u5c01\u5305\u4ea6\u53ef\u4ee5\u4ee5\u76f8\u540c\u65b9\u5f0f\u4f86\u8655\u7406\u3002 \u5075\u6e2c\u932f\u8aa4\uff0c\u5c07\u6709\u8072\u6ce2\u5f62\u8aa4\u5224\u70ba\u7121\u8072\u6ce2\u5f62\u6642\uff0c\u4ecd\u53ef\u6e1b\u5c0f\u932f\u8aa4\u6ce2\u5f62\u76f8\u4f4d\u4e0d\u9023\u7e8c\u6240\u5f15\u767c \u503c\uff1bN \u70ba\u907a\u5931\u5c01\u5305\u7a7a\u9699\u7684\u9577\u5ea6\uff0c\u4ee5\u6a23\u672c\u9ede\u8a08\u6578\u3002\u5982\u5716 19 \u88e1\uff0c\u5f8c\u4e00\u5c01 \u53bb\u5206\u5225\u8655\u7406\u5f97\u5230\u7684\uff0c\u7136\u5f8c\u8b93\u53d7\u6e2c\u8005\u6bd4\u8f03\u6bcf\u7a2e\u7d44\u5408\u5167\u7684\u5169\u500b\u97f3\u6a94\u4e4b\u8a9e\u97f3\u54c1\u8cea\u5dee\u7570\u3002 \u7684\u566a\u97f3\u3002 \u8a08\u7b97\u632f\u5e45\u9700\u8981\u5fae\u8abf\u7684\u5e45\u5ea6\uff0c\u5176\u4e2d AP \u8207 AN \u5206\u5225\u662f\u524d\u4e00\u5c01\u5305\u8207\u5f8c\u4e00\u5c01 \u5305\u4e2d\uff0c\u6700\u9130\u8fd1\u91cd\u5efa\u6ce2\u5f62\u7684 PP \u500b\u6a23\u672c\u9ede\u5167\uff0c\u6240\u6c42\u5f97\u7684\u6b63\u8ca0\u5cf0\u9593\u632f\u5e45 \u7531\u5be6\u9a57\u8a08\u7b97\u5f97\u5230\u7684 SNR \u503c\u5982\u5716 20 \u6240\u793a\uff0cSNR \u503c\u7684\u8a08\u7b97\u516c\u5f0f\u5982\u4e0b: \u6a94\uff0c\u4e26\u4e14\u662f\u5728\u6a21\u64ec\u5c01\u5305\u907a\u5931\u7387\u70ba 10%\u300130%\u8207 50%\u7684\u60c5\u6cc1\u4e4b\u4e0b\uff0c\u4ee5\u76f8\u540c\u907a\u5931\u5e8f\u5217 \u5716 21 \u807d\u6e2c\u5be6\u9a57\u4e4b\u5e73\u5747\u8a55\u5206\u5716 \u6210\u53ef\u4f5c\u5be6\u9a57\u4e4b\u7a0b\u5f0f\u3002 \u7b2c\u56db\u540d\u3001\u7b2c\u4e09\u540d\u8207\u7b2c\u4e94\u540d\u5171\u56db\u7a2e\u7d44\u5408\uff0c\u6bcf\u7a2e\u7d44\u5408\u5167\u5305\u542b\u5169\u500b\u88dc\u511f\u65b9\u6cd5\u8655\u7406\u5f8c\u7684\u97f3 \u6e2c\u6f14\u65b9\u6cd5\u767c\u751f\u8aa4\u5224\u4e5f\u662f\u53ef\u80fd\u7684\u539f\u56e0\u4e4b\u4e00\uff0c\u56e0\u6b64\u900f\u904e\u4e0a\u8ff0 BU \u65b9\u5f0f\u8655\u7406\uff0c\u5373\u4f7f\u57fa\u9031 \u6b65\u9a5f(5.1): factor = (AN -AP) / AP / N\uff1b \u9031\u6ce2\u5f62\u8907\u88fd\u6cd5(Double Sided Pitch Waveform Replication [8]\uff0c\u4ee5 DSPWR \u8868\u793a)\uff0c\u5beb PM Rep WSOLA DSPWR TPBPWI \u63a5\u8457\uff0c\u6211\u5011\u5c07\u9019\u4e94\u7a2e\u65b9\u6cd5\u4f5c\u914d\u5c0d\uff0c\u7b2c\u4e00\u540d\u8207\u7b2c\u4e8c\u540d\u3001\u7b2c\u4e00\u540d\u8207\u7b2c\u4e09\u540d\u3001\u7b2c\u4e09\u540d\u8207 -1 \u5cf0\u8c37\u9593\u632f\u5e45\u503c\u7684\u5dee\u7570\u500d\u6578\u904e\u5927\uff0c\u9664\u4e86\u53ef\u80fd\u5b58\u5728\u632f\u5e45\u7a81\u8d77\u7684\u96dc\u8a0a\u4e4b\u5916\uff0c\u57fa\u9031\u5075 \u632f \u5e45 + RPW NPW \u00d7 w2 PPW \u00d7 w1 -6000 \u70ba\u4e86\u65b9\u4fbf\u8aaa\u660e\uff0c\u6211\u5011\u5c07\u524d\u4e00\u5c01\u5305\u4e2d\u53f3\u908a PP \u500b\u6a23\u672c\u9ede\u5167\u7684\u6b63\u8ca0\u5cf0\u9593\u632f\u5e45\u503c (peak-to-peak amplitude)\u7a31\u70ba AP\uff0c\u800c\u5c07\u5f8c\u4e00\u5c01\u5305\u5de6\u908a PP \u500b\u6a23\u672c\u9ede\u5167\u7684\u6b63\u8ca0\u5cf0\u9593 \u632f\u5e45\u503c\u7a31\u70ba AN\u3002\u6b63\u8ca0\u5cf0\u9593\u632f\u5e45\u503c\u4fc2\u6307\u4e00\u5b9a\u7bc4\u570d\u5167\uff0c\u6700\u9ad8\u6ce2\u5cf0\u8207\u6700\u4f4e\u6ce2\u8c37\u4e4b\u9593\u7684 \u5dee\u8ddd\u3002\u91cd\u5efa\u6ce2\u5f62\u4e4b\u524d\u5411\u632f\u5e45\u8abf\u6574\uff0c\u65b9\u6cd5\u5982\u4e0b\uff1a AN AP (a) PV \u8655\u7406\u91cd\u5efa\u51fa\u7684\u8a9e\u97f3\u6ce2\u5f62 \u524d\u4e00\u5c01\u5305\u5f8c\u534a\u6bb5 \u7684\u5169\u500b\u56db\u5206\u4e4b\u4e00\u5c01\u5305 \u57fa\u9031\u5075\u6e2c\u6f14\u7b97\u6cd5\u7684\u904b\u4f5c\u65b9\u5411 \u96dc\u8a0a \u7531\u5de6\u81f3\u53f3\u9010\u9ede\u8abf\u964d\u91cd\u5efa\u51fa\u4fe1\u865f\u7684\u6a23\u672c\u9ede\u632f\u5e45\u503c\uff0c\u5176\u4e2d s[i]\u8868\u793a\u907a\u5931\u5c01 \u586b\u6eff\u907a\u5931\u5c01\u5305\u6240\u7522\u751f\u7684\u7a7a\u9699\uff0c\u5176\u4f5c\u6cd5\u76f8\u540c\u65bc PV \u8655\u7406\u7684\uff0c\u53ea\u662f\u8981\u985b\u5012\u5de6\u53f3\u7684\u65b9\u5411\u3002 6. \u88dc\u511f\u65b9\u6cd5\u4e4b\u6e2c\u8a66\u5be6\u9a57 6.1 SNR \u8a0a\u566a\u6bd4\u6e2c\u8a66 \u5be6\u9a57\u4f7f\u7528\u7684\u8a9e\u97f3\u8cc7\u6599\uff0c\u662f\u53d6\u81ea\u96fb\u8996\u9023\u7e8c\u5287\u4e2d\uff0c\u5169\u540d\u6f14\u54e1\u5728\u9910\u5ef3\u5167\u7684\u5c0d\u8a71\uff0c\u53d6 \u6a23\u7387 8000 \u8d6b\u8332\u3001\u89e3\u6790\u5ea6 16 bits\u3001\u55ae\u8072\u9053\uff0c\u6642\u9593\u9577\u5ea6\u4e0a\u53ef\u4ee5\u5c01\u88dd\u6210 20 \u6beb\u79d2\u70ba\u55ae\u4f4d \u7684\u5c01\u5305\u5171\u8a08 2993 \u500b(59.86 \u79d2\u9418)\u3002 \u5728\u6a21\u64ec\u5c01\u5305\u907a\u5931\u7136\u5f8c\u91cd\u5efa\u5176\u8a9e\u97f3\u6ce2\u5f62\u7684\u5be6\u9a57\u4e2d\uff0c\u5c01\u5305\u662f\u5426\u907a\u5931\uff0c\u662f\u4ee5\u96a8\u6a5f\u4e82 \u6578\u642d\u914d\u767d\u52aa\u529b(Bernoulli)\u6a21\u578b\u4f86\u6c7a\u5b9a\uff0c\u5206\u6210 10%\u300130%\u8207 50%\u4e09\u7a2e\u907a\u5931\u7387\u7684\u60c5\u6cc1 \u4f86\u6a21\u64ec\u3002\u6bcf\u7a2e\u907a\u5931\u7387\u7684\u60c5\u6cc1\u4e0b\uff0c\u6211\u5011\u90fd\u4f5c\u4e86\u4e09\u6b21\u5be6\u9a57\uff0c\u4e5f\u5c31\u662f\u5c0d\u540c\u4e00\u7a2e\u5c01\u5305\u907a\u5931 \u7387\u6a21\u64ec\u7522\u751f\u51fa\u4e09\u7a2e\u4e0d\u540c\u7684\u5c01\u5305\u907a\u5931\u4e4b\u5e8f\u5217\uff0c\u7136\u5f8c\u5728\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u8655\u7406\u4e4b\u5f8c\uff0c\u5206 \u6210\u4e09\u6b21\u8a08\u7b97\u539f\u59cb\u6ce2\u5f62\u8207\u91cd\u5efa\u6ce2\u5f62\u7684 SNR (Signal-to-Noise Ratio)\u8a0a\u566a\u6bd4\uff0c\u7136\u5f8c\u53d6\u4e09 \u6b21\u8a08\u7b97\u7d50\u679c\u4e4b\u5e73\u5747\u503c\u4f5c\u70ba\u5be6\u9a57\u6578\u64da\u3002 \u9019\u88e1\u5047\u8a2d\u6bcf\u7a2e\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u53ea\u91dd\u5c0d\u5c01\u5305\u9023\u7e8c\u907a\u5931\u500b\u6578\u5c0f\u65bc\u7b49\u65bc 3 \u7684\u60c5\u6cc1 \u80fd[11]\u3002\u56e0\u6b64\uff0c\u9664\u4e86\u904e\u53bb\u5c01\u5305\u91cd\u8907\u6cd5\u4e4b\u5916\uff0c\u5176\u9918\u88dc\u511f\u65b9\u6cd5\u5728\u5c01\u5305\u9023\u7e8c\u907a\u5931\u500b\u6578\u5927 \u65bc 3 \u6642\uff0c\u4fbf\u53ea\u91cd\u8907\u524d\u4e00\u6b21\u64ad\u653e\u904e\u7684\u5c01\u5305\u3002\u9019\u88e1\u6240\u4f5c\u7684\u5c01\u5305\u907a\u5931\u88dc\u511f\u4e4b\u5be6\u9a57\uff0c\u6e2c\u8a66 \u4e86\u5e7e\u7a2e\u65b9\u6cd5\uff0c\u9664\u4e86\u57fa\u672c\u7684\u904e\u53bb\u5c01\u5305\u91cd\u8907\u6cd5(Packet Repetition[1]\uff0c\u4ee5 Rep \u8868\u793a)\u548c\u672c \u6cd5(Modified Waveform Similarity OverLap Add [7]\uff0c\u4ee5 WSOLA \u8868\u793a) \u3001\u8207\u96d9\u908a\u57fa \u4f5c\u6392\u540d\uff0c\u7b2c\u4e00\u540d\u5230\u7b2c\u4e94\u540d\u7684\u9806\u5e8f\u662f\uff1aTPPWI\u3001DSPWR\u3001WSOLA\u3001Rep \u8207 PM\u3002 Substitution based on Pattern Matching [3]\uff0c\u4ee5 PM \u8868\u793a)\u3001\u6539\u826f\u5f0f\u6ce2\u5f62\u76f8\u4f3c\u6027\u758a\u52a0 \u91dd\u5c0d\u524d\u8ff0\u4e94\u7a2e\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\uff0c\u6211\u5011\u53c3\u8003 6.1 \u7bc0\u7684 SNR \u6e2c\u8a66\u7d50\u679c\uff0c\u5c0d\u5b83\u5011 0 \u8ad6\u6587\u63d0\u51fa\u7684 TPPWI \u6cd5\u4e4b\u5916\uff0c\u6211\u5011\u4e5f\u81ea\u884c\u5c07\u5916\u5dee\u5f0f\u7684\u76f8\u4f3c\u6ce2\u5f62\u53d6\u4ee3\u6cd5(Waveform \uf0e5 \uf0e5 \uf03d \uf03d \uf02d \uf0b4 \uf03d N n N n n x n x n x log SNR 0 2 0 2 10 )] ( ) ( [ )] ( [ 10 (5) \u5176\u4e2d ) (n x \u662f\u539f\u59cb\u4fe1\u865f\u6a23\u672c\u3001 ) ( n x \u662f\u91cd\u5efa\u7684\u4fe1\u865f\u6a23\u672c\u3002 -4 -3 -2 -1 0 Rep PM WSOLA DSPWR TPBPWI SNR (dB) \u907a \u5931 \u738710% \u907a \u5931 \u738730% \u907a \u5931 \u738750% \u5716 20 \u91cd\u5efa\u8a9e\u97f3\u4e4b SNR \u9019\u610f\u8b02\u5169\u8005\u7684\u6ce2\u5f62\u5b58\u5728\u76f8\u4f4d\u5dee\u3001\u5cf0\u9ede\u4f4d\u7f6e\u4e0d\u540c\u7b49\u7b49\u7684\u60c5\u6cc1\u3002 6.2 \u807d\u6e2c\u8a55\u4f30\u6e2c\u8a66 \u5167\u7684\u6ce2\u5f62\u53ef\u80fd\u662f\u91cd\u5efa\u51fa\u4f86\u7684\uff0c\u5c0e\u81f4\u8aa4\u5dee\u5ef6\u7e8c\uff0c\u4f7f\u5f97\u5b83\u5011\u7684\u88dc\u511f\u6548\u679c\u6bd4\u76f4\u63a5\u4ee5\u904e\u53bb \u5c01\u5305\u91cd\u8907\u6642\u9084\u8981\u5dee\u3002\u6240\u4ee5 PM \u8207 WSOLA \u5169\u65b9\u6cd5\u53ea\u80fd\u5920\u4f7f\u7528\u65bc\u5c01\u5305\u907a\u5931\u7387\u4f4e\u65bc 10%\u7684\u60c5\u6cc1\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u96a8\u8457\u5c01\u5305\u907a\u5931\u7387\u7684\u5347\u9ad8\uff0cDSPWR \u8207 TPBPWI \u4e4b\u9593\u7684\u6548 \u80fd\u5dee\u8ddd\u5c31\u8d8a\u8fd1\uff0c\u986f\u793a\u5728\u8d8a\u9ad8\u7684\u5c01\u5305\u907a\u5931\u7387\u4e4b\u4e0b\uff0c\u63a5\u6536\u7aef\u88dc\u511f\u65b9\u6cd5\u7684\u6548\u679c\u8d8a\u96e3\u767c \u63ee\uff0c\u4f7f\u5f97\u5404\u65b9\u6cd5\u5f7c\u6b64\u4e4b\u9593\u7684\u88dc\u511f\u6548\u80fd\u5dee\u7570\u8b8a\u5c0f\u3002 7. \u7d50\u8ad6 \u8a71\uff0c\u5c31\u8a08\u70ba 1 \u8868 2 \u807d\u6e2c\u5be6\u9a57\u4e4b\u5e73\u5747\u5206\u6578 \u5c01\u5305\u907a\u5931\u7387 PM Rep WSOLA DSPWR TPBPWI 10% 0.0625 0.625 0 0.75 2.375 30% -0.125 0.6875 0 1.0625 2.4375 50% 0.8125 1.3125 0 1.5625 2.4375 1 3 \u907a \u5931 \u738710% \u907a \u5931 \u738730% \u907a \u5931 \u738750% \u807d\u6e2c\u8a55\u4f30\u5206\u6578 \u7db2\u8def\u96fb\u8a71\u7684\u4f7f\u7528\u6108\u4f86\u6108\u666e\u904d\uff0c\u4f46\u96fb\u8166\u7db2\u8def\u5e38\u56e0\u7e41\u5fd9\u6216\u983b\u5bec\u4e0d\u5920\u800c\u9020\u6210\u5c01\u5305\u907a \u5931\u6216\u5ef6\u9072\uff0c\u4f7f\u5f97\u901a\u8a71\u8a9e\u97f3\u7684\u54c1\u8cea\u8870\u9000\u3001\u4e0d\u7a69\u5b9a\uff0c\u56e0\u6b64\u7814\u7a76\u907a\u5931\u5c01\u5305\u4e4b\u88dc\u511f\u65b9\u6cd5\uff0c \u4f86\u63d0\u5347\u901a\u8a71\u8a9e\u97f3\u7684\u54c1\u8cea\uff0c\u662f\u6709\u5176\u91cd\u8981\u6027\u7684\u3002\u672c\u6587\u7814\u7a76\u4e86\u4e00\u7a2e\u63a5\u6536\u7aef\u4e4b\u907a\u5931\u5c01\u5305\u88dc \u511f\u65b9\u6cd5\uff0c\u7a31\u70ba TPPWI\uff0c\u5b83\u5728 SNR \u6e2c\u8a66\u548c\u4e3b\u89c0\u807d\u6e2c\u4e0a\uff0c\u90fd\u6bd4\u4f5c\u6bd4\u8f03\u7684 DSPWR\u3001 WSOLA\u3001PM\u3001REP \u7b49\u65b9\u6cd5\u90fd\u8868\u73fe\u5f97\u66f4\u597d\uff0c\u5982\u5728\u5c01\u5305\u907a\u5931\u7387 10%\u8207 30%\u6642\uff0c\u807d \u7387\u3002\u5728\u96d9\u908a\u6709\u8072\u4e4b BV \u8655\u7406\uff0c\u6211\u5011\u63d0\u51fa\u4e86\u4e0d\u932f\u7684\u57fa\u9031\u6ce2\u5f62\u4e4b\u540c\u6b65\u65b9\u6cd5\uff0c\u4ee5\u53ca\u4e0d\u932f \u7684\u57fa\u9031\u500b\u6578\u8207\u9577\u5ea6\u7684\u6c7a\u5b9a\u65b9\u6cd5\uff0c\u518d\u61c9\u7528\u5148\u524d\u63d0\u51fa\u7684\u57fa\u9031\u6ce2\u5f62\u5167\u5dee\u6cd5\uff0c\u800c\u4f7f\u5f97\u91cd\u5efa \u51fa\u7684\u4fe1\u865f\u6ce2\u5f62\u5177\u6709\u76f8\u4f4d\u8207\u983b\u7387\u7684\u9023\u7e8c\u6027\uff0c\u800c\u5448\u73fe\u66f4\u9ad8\u7684\u8a9e\u97f3\u54c1\u8cea\u3002\u5728\u96d9\u908a\u7121\u8072\u4e4b BU \u8655\u7406\uff0c\u6211\u5011\u6539\u9032\u4e86\u524d\u4eba\u7684\u4f5c\u6cd5\uff0c\u800c\u80fd\u5920\u66f4\u6709\u6548\u5730\u907f\u514d\u5728\u7121\u8072\u4fe1\u865f\u4e2d\uff0c\u9ea5\u514b\u98a8 \u5716 \u5716 19 \u524d\u5411\u632f\u5e45\u8abf\u6574\u4e4b\u793a\u610f\u5716 \u4e0d\u597d\uff1b(b)\u540c\u6642\u5c07\u591a\u500b\u5c01\u5305\u653e\u5165 Jitter Buffer \u5167\uff0c\u53ef\u80fd\u6703\u5f71\u97ff Jitter Buffer \u7684\u8655\u7406\u6548 \u6b64\u6642\u539f\u59cb\u8a9e\u97f3\u7684\u6a23\u672c\u9ede ) (n x \u8207\u91cd\u5efa\u8a9e\u97f3\u7684\u6a23\u672c\u9ede ) ( n x \u4e4b\u9593\u7684\u632f\u5e45\u503c\u5dee\u7570\u5f88\u5927\uff0c 2 (b) PV \u8655\u7406\u632f\u5e45\u8abf\u6574\u5f8c\u7684\u8a9e\u97f3\u6ce2\u5f62 \u4f5c\u8655\u7406\uff0c\u7406\u7531\u662f\uff1a(a)\u7576\u5c01\u5305\u9023\u7e8c\u907a\u5931\u500b\u6578\u5927\u65bc 3 \u6642\uff0c\u91cd\u5efa\u8a9e\u97f3\u7684\u6548\u679c\u5df2\u7d93\u660e\u986f \u51fd\u6578\u5167\uff0c\u5206\u6bcd\u7684\u6578\u503c\u5927\u65bc\u5206\u5b50\uff0c\u4f7f\u5f97\u76f8\u9664\u7d50\u679c\u70ba\u5206\u6578\uff0c\u800c\u5206\u6bcd\u6703\u5927\u65bc\u5206\u5b50\uff0c\u8868\u793a \u6536\u9304\u9032\u4f86\u7684\u80cc\u666f\u96dc\u8a0a\u6240\u5f15\u8d77\u7684\u566a\u97f3\u3002</td></tr></table>", |
|
"type_str": "table", |
|
"num": null |
|
} |
|
} |
|
} |
|
} |