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{ |
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"paper_id": "O18-1003", |
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"generated_with": "S2ORC 1.0.0", |
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"date_generated": "2023-01-19T08:09:55.222371Z" |
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"title": "A study and implementation on Speaker Verification System using Gender Information", |
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"authors": [ |
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{ |
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"first": "Yu-Jui", |
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"first": "Jyh-Shing", |
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"institution": "Normal University", |
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"last": "Jang", |
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"institution": "Normal University", |
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{ |
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"first": "Po-Cheng", |
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"year": "", |
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"text": "Finally, we reached the goal of improving our system to achieve better performance than tradition practice under different circumstances. ", |
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"BIBREF0": { |
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"ref_id": "b0", |
|
"title": "TIMIT Acoustic-Phonetic Continuous Speech Corpus LDC93S1. Web Download. Philadelphia: Linguistic Data Consortium", |
|
"authors": [ |
|
{ |
|
"first": "John", |
|
"middle": [ |
|
"S" |
|
], |
|
"last": "Garofolo", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1993, |
|
"venue": "", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Garofolo, John S., et al. TIMIT Acoustic-Phonetic Continuous Speech Corpus LDC93S1. Web Download. Philadelphia: Linguistic Data Consortium, 1993.", |
|
"links": null |
|
}, |
|
"BIBREF1": { |
|
"ref_id": "b1", |
|
"title": "Continuously reproducing toolchains in pattern recognition and machine learning experiments", |
|
"authors": [ |
|
{ |
|
"first": "Andr\u00e9", |
|
"middle": [], |
|
"last": "Anjos", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2017, |
|
"venue": "", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Anjos, Andr\u00e9, et al. \"Continuously reproducing toolchains in pattern recognition and machine learning experiments.\" (2017).", |
|
"links": null |
|
}, |
|
"BIBREF2": { |
|
"ref_id": "b2", |
|
"title": "Joint factor analysis of speaker and session variability: Theory and algorithms", |
|
"authors": [ |
|
{ |
|
"first": "Patrick", |
|
"middle": [], |
|
"last": "Kenny", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2005, |
|
"venue": "CRIM", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "28--29", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Kenny, Patrick. \"Joint factor analysis of speaker and session variability: Theory and algorithms.\" CRIM, Montreal,(Report) CRIM-06/08-13 14 (2005): 28-29.", |
|
"links": null |
|
}, |
|
"BIBREF3": { |
|
"ref_id": "b3", |
|
"title": "A study of interspeaker variability in speaker verification", |
|
"authors": [ |
|
{ |
|
"first": "Patrick", |
|
"middle": [], |
|
"last": "Kenny", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2008, |
|
"venue": "IEEE Transactions on Audio, Speech, and Language Processing", |
|
"volume": "16", |
|
"issue": "", |
|
"pages": "980--988", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Kenny, Patrick, et al. \"A study of interspeaker variability in speaker verification.\" IEEE Transactions on Audio, Speech, and Language Processing 16.5 (2008): 980-988.", |
|
"links": null |
|
}, |
|
"BIBREF4": { |
|
"ref_id": "b4", |
|
"title": "Front-end factor analysis for speaker verification", |
|
"authors": [ |
|
{ |
|
"first": "Najim", |
|
"middle": [], |
|
"last": "Dehak", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2011, |
|
"venue": "IEEE Transactions on Audio, Speech, and Language Processing", |
|
"volume": "19", |
|
"issue": "", |
|
"pages": "788--798", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Dehak, Najim, et al. \"Front-end factor analysis for speaker verification.\" IEEE Transactions on Audio, Speech, and Language Processing 19.4 (2011): 788-798.", |
|
"links": null |
|
}, |
|
"BIBREF5": { |
|
"ref_id": "b5", |
|
"title": "Probabilistic linear discriminant analysis for inferences about identity", |
|
"authors": [ |
|
{ |
|
"first": "", |
|
"middle": [], |
|
"last": "Prince", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "J", |
|
"middle": [ |
|
"D" |
|
], |
|
"last": "Simon", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "James", |
|
"middle": [ |
|
"H" |
|
], |
|
"last": "Elder", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2007, |
|
"venue": "IEEE 11th International Conference on", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Prince, Simon JD, and James H. Elder. \"Probabilistic linear discriminant analysis for inferences about identity.\" Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on. IEEE, 2007.", |
|
"links": null |
|
}, |
|
"BIBREF6": { |
|
"ref_id": "b6", |
|
"title": "Bayesian speaker verification with heavy-tailed priors", |
|
"authors": [ |
|
{ |
|
"first": "Patrick", |
|
"middle": [], |
|
"last": "Kenny", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2010, |
|
"venue": "Odyssey", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Kenny, Patrick. \"Bayesian speaker verification with heavy-tailed priors.\"Odyssey. 2010.", |
|
"links": null |
|
}, |
|
"BIBREF7": { |
|
"ref_id": "b7", |
|
"title": "Analysis of i-vector length normalization in speaker recognition systems", |
|
"authors": [ |
|
{ |
|
"first": "Daniel", |
|
"middle": [], |
|
"last": "Garcia-Romero", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "Carol", |
|
"middle": [ |
|
"Y" |
|
], |
|
"last": "Espy-Wilson", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2011, |
|
"venue": "Twelfth Annual Conference of the International Speech Communication Association", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Garcia-Romero, Daniel, and Carol Y. Espy-Wilson. \"Analysis of i-vector length normalization in speaker recognition systems.\" Twelfth Annual Conference of the International Speech Communication Association. 2011.", |
|
"links": null |
|
}, |
|
"BIBREF8": { |
|
"ref_id": "b8", |
|
"title": "Fisher discriminant analysis with kernels", |
|
"authors": [ |
|
{ |
|
"first": "Sebastian", |
|
"middle": [], |
|
"last": "Mika", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 1999, |
|
"venue": "Proceedings of the 1999 IEEE signal processing society workshop", |
|
"volume": "", |
|
"issue": "", |
|
"pages": "", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Mika, Sebastian, et al. \"Fisher discriminant analysis with kernels.\" Neural networks for signal processing IX, 1999. Proceedings of the 1999 IEEE signal processing society workshop..", |
|
"links": null |
|
}, |
|
"BIBREF10": { |
|
"ref_id": "b10", |
|
"title": "Nonlinear extraction of independent components of natural images using radial gaussianization", |
|
"authors": [ |
|
{ |
|
"first": "Siwei", |
|
"middle": [], |
|
"last": "Lyu", |
|
"suffix": "" |
|
}, |
|
{ |
|
"first": "Eero", |
|
"middle": [ |
|
"P" |
|
], |
|
"last": "Simoncelli", |
|
"suffix": "" |
|
} |
|
], |
|
"year": 2009, |
|
"venue": "Neural computation", |
|
"volume": "21", |
|
"issue": "", |
|
"pages": "1485--1519", |
|
"other_ids": {}, |
|
"num": null, |
|
"urls": [], |
|
"raw_text": "Lyu, Siwei, and Eero P. Simoncelli. \"Nonlinear extraction of independent components of natural images using radial gaussianization.\" Neural computation 21.6 (2009): 1485- 1519.", |
|
"links": null |
|
} |
|
}, |
|
"ref_entries": { |
|
"FIGREF0": { |
|
"uris": null, |
|
"type_str": "figure", |
|
"text": "task, one way to improve system's accuracy without changing the algorithm of acoustic model is to use gender-dependent model instead of gender-independent one. However, since test speakers' genders are not available, gender classifier plays an important role since its accuracy directly affects the performance of the speaker verification system overall. Furthermore, ensuring that the system can maintain good performance under different gender composition of test speakers is also an important issue. To explore the impact of different gender information's usage on speaker verification system, this paper implemented a speaker verification system using i-vector and PLDA model as speaker feature and scoring model respectively, and 2 i-vector-based gender classifier. After analyzing the weakness of speaker verification system using gender-dependent model in a general way, we proposed different methods for the application of gender information under the conditions when gender classifier has good and poor performance respectively. Moreover, we analyze the performance of each method under different gender composition of test speakers as well.", |
|
"num": null |
|
}, |
|
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\u7406\u672c\u8ad6\u6587\u6240\u4f7f\u7528\u7684\u5404\u7a2e\u65b9\u6cd5\u8207\u5176\u5c0d\u61c9\u7684\u9069\u7528\u60c5\u5f62\u4f5c\u70ba\u7e3d\u7d50\uff1a</td></tr><tr><td>\u4e8c\u3001\u5be6\u9a57\u8a9e\u6599\u8207\u8cc7\u6599\u914d\u7f6e \u6599\u8207\u9a57\u8b49\u8a9e\u6599\u7684\u5206\u914d\uff0c\u6bcf\u4f4d\u8a9e\u8005\u7686\u6703\u8a3b\u518a 2 \u7d44\u8a9e\u8005\u6a21\u578b\uff0c\u6bcf\u7d44\u6a21\u578b\u7686\u4ee5 4 \u4efd\u97f3\u6a94\u8a3b\u518a \u60c5\u6cc1\u4e0b\uff0c\u7686\u61c9\u6709\u826f\u597d\u7684\u8868\u73fe\u3002\u56e0\u6b64\uff0c\u672c\u8ad6\u6587\u6240\u6709\u7684\u8a9e\u8005\u9a57\u8b49\u76f8\u95dc\u5be6\u9a57\uff0c\u7686\u6703\u5728\u4e0d\u540c\u7684 r \u7df4\u8cc7\u6599\u4e2d\u6240\u6709\u8a9e\u8005\u5171\u540c\u8a13\u7df4\u800c\u5f97\u4f86\uff0c\u800c\u672c\u4f5c\u6cd5\u4e4b i-\u5411\u91cf\u6a21\u578b\u5247\u5206\u70ba 2 \u500b\u6027\u5225\u76f8\u95dc\u7684\u6a21 \u5728\u6e2c\u8a66\u6d41\u7a0b\u4e2d\uff0c\u4e5f\u5bb9\u6613\u6703\u9020\u6210\u4e0d\u540c\u6027\u5225\u9593\u8a9e\u8005\u88ab\u932f\u8aa4\u5224\u65b7\u6210\u540c\u4e00\u8a9e\u8005\u7684\u6bd4\u4f8b\u8f03\u5c0d\u7167\u7d44\u6d41 \u518a\u8a9e\u8005\u8207\u6e2c\u8a66\u8a9e\u8005\u6027\u5225\u4e0d\u540c\u7684\u6a23\u672c\uff0c\u56e0\u6b64\u65b9\u6cd5\u4e00\u8207\u524d\u4eba\u505a\u6cd5\u7684\u8868\u73fe\u662f\u76f8\u540c\u7684\uff1b\u4f46\u6162\u6162\u5f80 \u4f5c\u70ba\u4e8c\u5143\u5206\u985e\u5668\uff0c\u5224\u65b7\u97f3\u6a94\u7684\u6027\u5225\u3002\u800c\u795e\u7d93\u7db2\u8def\u6a21\u578b\u7684\u53c3\u6578(keras API)\u5982\u8868 2 \u6240\u793a\uff1a \u5be6\u9a57\u56db\u540c\u6a23\u5c07\u4ecb\u7d39\u82e5\u5e72\u7a2e\u6027\u5225\u8cc7\u8a0a\u61c9\u7528\u65bc\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4e4b\u65b9\u6cd5\uff0c\u4f46\u4e0d\u540c\u65bc\u5be6\u9a57\u4e8c\u4ee5\u5176\u771f \u65bc\u8a13\u7df4\u8cc7\u6599\u4e2d\u540c\u4e00\u8a9e\u8005\u7684 i-\u5411\u91cf\u4e2d\u7528\u4ee5\u4ee3\u8868\u6027\u5225\u7684\u6700\u5f8c\u4e00\u7dad\u7279\u5fb5\u7686\u6709\u76f8\u540c\u7684\u6578\u503c\uff0c\u56e0\u6b64 (1) \u7576\u6211\u5011\u80fd\u78ba\u4fdd\u7cfb\u7d71\u7684\u4f7f\u7528\u8005\u53ef\u4ee5\u63d0\u4f9b\u54c1\u8cea\u826f\u597d\u7684\u9304\u97f3\uff0c\u5247\u6027\u5225\u5206\u985e\u5668\u6709\u8f03\u5927\u6a5f\u6703</td></tr><tr><td>\u800c\u6210\uff0c\u800c\u5269\u4e0b\u7684 2 \u4efd\u97f3\u6a94\u5247\u4f5c\u70ba\u6e2c\u8a66\u97f3\u6a94\u3002\u6e2c\u8a66\u8cc7\u6599\u7684\u6bcf\u4e00\u4f4d\u8a9e\u8005\u7686\u6703\u81ea\u9a57\u8b49\u8a9e\u6599\u4e2d \u503c\u4e4b\u4e0b\u6e2c\u91cf\u7cfb\u7d71\u7684\u8868\u73fe\u3002\u7531\u5716 3 \u4e2d\u53ef\u898b\uff0c\u96d6\u7136\u5c0d\u7167\u7d44\u6d41\u7a0b\u65bc TIMIT \u8a9e\u6599\u8207 NIST SRE \u578b\uff0c\u5206\u5225\u662f\u4f7f\u7528\u8a13\u7df4\u8a9e\u8005\u4e2d\u7684\u7537\u6027\u8a9e\u8005\u8207\u5973\u6027\u8a9e\u8005\u9032\u884c\u8a13\u7df4\u800c\u5f97\u4f86\uff0c\u800c\u6240\u6709\u8a3b\u518a\u97f3\u6a94\u6216 \u7a0b\u9084\u8981\u9ad8\u7684\u73fe\u8c61\u3002\u56e0\u6b64\uff0c\u91dd\u5c0d\u56e0\u4e0d\u540c\u6027\u5225 i-\u5411\u91cf\u7a7a\u9593\u91cd\u758a\u73fe\u8c61\u6240\u9020\u6210\u7684\u4e0a\u8ff0\u7f3a\u9677\uff0c\u672c\u8ad6 \u53f3\u5074 r = 1 \u65b9\u5411\u79fb\u52d5\u6642\uff0c\u7531\u65bc\u8a3b\u518a\u65b9\u8207\u6e2c\u8a66\u65b9\u6027\u5225\u4e0d\u540c\u7684\u6a23\u672c\u7686\u88ab\u7cfb\u7d71\u62d2\u7d55\uff0c\u56e0\u6b64\u65b9\u6cd5</td></tr><tr><td>\u672c\u8ad6\u6587\u4f7f\u7528\u4e86 NIST SRE 2010 \u8207 TIMIT \u5169\u4efd\u8a9e\u6599\u5eab\u5206\u5225\u9032\u884c\u5be6\u9a57\uff0c\u4ee5\u4e0b\u5c07\u7c21\u4ecb\u6b64\u4e8c \u6311\u9078 100 \u4efd\u97f3\u6a94\u4f86\u6e2c\u8a66\u81ea\u5df1\u7684\u8a9e\u8005\u6a21\u578b\uff0c100 \u4efd\u97f3\u6a94\u4e2d\u5176\u4e2d 1 \u4efd\u662f\u6703\u662f\u6b63\u6a23\u672c\uff0c\u800c\u5176 2010 \u8a9e\u6599\u4e0a\u7684\u8868\u73fe\u6709\u660e\u986f\u5dee\u8ddd\uff0c\u4f46\u5169\u8005\u7684\u8b8a\u5316\u8da8\u52e2\u662f\u76f8\u540c\u7684\uff1a\u5f9e\u6700\u5de6\u5074\u7684 r \u7b49\u65bc 0 \u6162\u6162 \u6e2c\u8a66\u97f3\u6a94\uff0c\u7686\u5fc5\u9808\u4f7f\u7528\u5c0d\u61c9\u5176\u8a9e\u8005\u6027\u5225\u4e4b\u6a21\u578b\u4f86\u62bd\u53d6 i-\u5411\u91cf\u3002\u5176\u4e2d\uff0c\u8a3b\u518a\u8a9e\u8005\u7684\u6027\u5225\u53ef \u6587\u63a5\u4e0b\u4f86\u5c07\u63d0\u51fa\u4e00\u7a2e\u7c21\u55ae\u7684\u6539\u826f\u6a5f\u5236\uff0c\u4ee5\u4ee4\u7d50\u679c\u7372\u5f97\u6539\u5584\u3002 \u4e00\u5728\u5169\u7a2e\u8a9e\u6599\u7684\u7b49\u932f\u8aa4\u7387\u59cb\u7d42\u4f4e\u65bc\u5c0d\u7167\u7d44\uff0c\u751a\u81f3\u8d8a\u5f80\u53f3\u4fbf\u8d8a\u8207\u5c0d\u7167\u7d44\u7684\u7d50\u679c\u62c9\u958b\u8ddd\u96e2\uff1b \u5be6\u6027\u5225\u4ee3\u66ff\u6027\u5225\u5206\u985e\u5668\u7684\u9810\u6e2c\u7d50\u679c\uff0c\u672c\u5be6\u9a57\u5c07\u4f7f\u7528\u5728\u5be6\u9a57\u4e09\u4e2d\u5be6\u4f5c\u7684\u6027\u5225\u5206\u985e\u5668\uff0c\u4e26\u7279 \u7576\u8a55\u5206\u5668\u898b\u5230\u8a3b\u518a\u8a9e\u8005\u8207\u6e2c\u8a66\u8a9e\u8005\u5728\u8a72\u7dad\u7279\u5fb5\u4e4b\u6578\u503c\u76f8\u7570\uff0c\u81ea\u7136\u540c\u6a23\u6703\u8a55\u51fa\u975e\u5e38\u4f4e\u7684\u5206 \u8868\u73fe\u826f\u597d\uff0c\u56e0\u6b64\u53ef\u9078\u64c7\u65b9\u6cd5\u4e00\u3002</td></tr><tr><td>\u8a9e\u6599\u5eab\u8207\u8cc7\u6599\u914d\u7f6e\u3002NIST SRE 2010 [1] \u662f\u4e00\u5834\u5728 2010 \u5e74\u7531\u7f8e\u570b\u570b\u5bb6\u6a19\u6e96\u6280\u8853\u7814\u7a76\u6240 \u4ed6 99 \u4efd \u5247 \u662f \u96a8 \u6a5f \u6311 \u9078 \u7684 \u8ca0 \u6a23 \u672c \uff0c \u56e0 \u6b64 \u6240 \u6709 \u6b32 \u8a55 \u6e2c \u7684 \u6a23 \u672c \u4e00 \u5171 \u6709 \u5f80\u6700\u53f3\u5074\u7684 r \u7b49\u65bc 1 \u79fb\u52d5\u6642\uff0c\u7cfb\u7d71\u7684\u7b49\u932f\u8aa4\u7387\u7686\u5448\u73fe\u8fd1\u4f3c\u7dda\u6027\u4e0b\u964d\u7684\u8da8\u52e2\u3002\u9020\u6210\u6b64\u4e0b\u964d \u4ee5\u5047\u8a2d\u662f\u5df2\u77e5\u7684\uff0c\u56e0\u70ba\u5728\u5be6\u969b\u904b\u7528\u60c5\u5883\u4e2d\uff0c\u6211\u5011\u53ef\u4ee5\u8981\u6c42\u6240\u6709\u4f7f\u7528\u8005\u8981\u8a3b\u518a\u7cfb\u7d71\u6642\u63d0\u4f9b i-vector i-vector \u5230\u6700\u5f8c r = 1 \u6642\uff0c\u7531\u65bc\u6240\u6709\u932f\u8aa4\u6a23\u672c\u7686\u6210\u529f\u88ab\u7cfb\u7d71\u62d2\u7d55\uff0c\u7b49\u932f\u8aa4\u7387\u4fbf\u53ef\u9054\u5230 0%\u3002\u6b64\u5be6 \u5225\u91dd\u5c0d\u7576\u6027\u5225\u5206\u985e\u5668\u8868\u73fe\u4e0d\u826f\u7684\u60c5\u6cc1\uff0c\u4ecb\u7d39\u5176\u4ed6\u4e0d\u540c\u65bc\u5be6\u9a57\u4e8c\u7684\u6027\u5225\u8cc7\u8a0a\u61c9\u7528\u65b9\u6cd5\u3002 \u6578\u3002\u7d9c\u4e0a\u6240\u8ff0\uff0c\u5be6\u9a57\u4e8c\u7684\u5404\u7a2e\u65b9\u6cd5\u7686\u6703\u70ba\u5927\u91cf\u6b63\u6a23\u672c\u8a55\u51fa\u4f4e\u843d\u7684\u5206\u6578\uff0c\u9032\u800c\u4f7f\u5f97\u7b49\u932f\u8aa4 (2) \u7576\u6211\u5011\u4e0d\u80fd\u4fdd\u8b49\u4f7f\u7528\u8005\u80fd\u63d0\u4f9b\u512a\u826f\u54c1\u8cea\u4e4b\u9304\u97f3\uff0c\u5247\u6027\u5225\u5206\u985e\u5668\u6709\u8f03\u5927\u6a5f\u6703\u8868\u73fe\u4e0d</td></tr><tr><td>(National Institute of Standards and Technology, NIST)\u6240\u8209\u8fa6\u7684\u8a9e\u8005\u8fa8\u8b58(Speaker \u4efd\u3002 \u8da8\u52e2\u4e4b\u539f\u56e0\u5176\u5be6\u975e\u5e38\u76f4\u89c0\uff1a\u8207\u4f7f\u7528\u8005\u4e0d\u540c\u6027\u5225\u7684\u4eff\u5192\u8005\uff0c\u76f8\u8f03\u65bc\u540c\u6027\u5225\u8005\uff0c\u5927\u591a\u6703\u8207\u8a72 \u81ea\u5df1\u7684\u6027\u5225\u8cc7\u8a0a\uff1b\u4f46\u662f\u7531\u65bc\u6e2c\u8a66\u8a9e\u8005\u7684\u6027\u5225\u662f\u672a\u77e5\u7684\uff0c\u56e0\u6b64\u6e2c\u8a66\u97f3\u6a94\u5fc5\u9808\u5148\u85c9\u7531\u6027\u5225\u5206 \u5716 6\u3001i-\u5411\u91cf\u4e4b\u7406\u60f3\u4e8c\u7dad\u9ede\u5206\u4f48\u5716 \u65b9\u6cd5\u4e00\uff1a\u62d2\u7d55\u8207\u8a3b\u518a\u8005\u6027\u5225\u4e0d\u7b26\u4e4b\u6e2c\u8a66\u8005 \u9a57\u7d50\u679c\u9664\u8b49\u660e\u4e86\u524d\u4eba\u505a\u6cd5\u78ba\u5be6\u5b58\u5728\u8457\u672c\u8ad6\u6587\u6240\u9810\u6e2c\u7684\u7f3a\u9677\u8207\u9020\u6210\u5b83\u7684\u539f\u56e0\uff0c\u4ea6\u8b49\u660e\u4e86\u65b9 \u7387\u8ddf\u8457\u5927\u5e45\u63d0\u5347\u3002 \u826f\uff0c\u56e0\u6b64\u5728\u9019\u7a2e\u60c5\u6cc1\u4e0b\uff0c\u65b9\u6cd5\u4e8c\u70ba\u8f03\u5408\u9069\u4e4b\u9078\u9805\u3002</td></tr><tr><td>Recognition Evaluation, SRE)\u6bd4\u8cfd\uff0c\u672c\u8ad6\u6587\u53d6\u5176\u8a13\u7df4\u8cc7\u6599\u4e2d\u7684 3 \u7a2e\u8cc7\u6599\u985e\u578b\uff1a \u300c10sec\u300d\u3001 \u4f7f\u7528\u8005\u5728\u8072\u7d0b\u7279\u6027\u4e0a\u6709\u8f03\u5927\u7684\u5dee\u5225\uff0c\u9020\u6210\u5176\u88ab\u7cfb\u7d71\u62d2\u7d55\u7684\u6a5f\u7387\u4e5f\u76f8\u5c0d\u9ad8\u51fa\u8a31\u591a\uff0c\u56e0\u6b64\u7576 \u985e\u5668\u9810\u6e2c\u5176\u6027\u5225\uff0c\u624d\u80fd\u5957\u5165\u6b63\u78ba\u6027\u5225\u7684 i-\u5411\u91cf\u6a21\u578b\u4f86\u62bd\u53d6 i-\u5411\u91cf\u3002\u672c\u505a\u6cd5\u7684\u5be6\u9a57\u7d50\u679c\u5982 \u5728\u7406\u60f3\u4e0a\uff0c\u56e0\u70ba\u7537\u6027\u8207\u5973\u6027\u7684\u8072\u7d0b\u7279\u6027\u5b58\u5728\u5f88\u5927\u7684\u5dee\u7570\uff0c\u5bb9\u6613\u8b93\u4eba\u4ee5\u70ba i-\u5411\u91cf\u6703\u5728\u7a7a\u9593 \u6b64\u6539\u826f\u65b9\u6cd5\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5982\u5716 8 \u6240\u793a\uff1a \u6cd5\u4e00\u6d41\u7a0b\u5728\u6539\u5584\u6b64\u7a2e\u7f3a\u9677\u4e0a\u7684\u6548\u679c\u3002 \u5be6\u969b\u5957\u7528\u6027\u5225\u5206\u985e\u5668\u6240\u9810\u6e2c\u6027\u5225 t (3) \u50b3\u7d71\u4f5c\u6cd5\u7684\u512a\u9ede\u70ba\u4e0d\u5fc5\u82b1\u8cbb\u984d\u5916\u6642\u9593\u9032\u884c\u6027\u5225\u9810\u6e2c\uff0c\u56e0\u6b64\u7576\u6211\u5011\u5c0d\u65bc\u7cfb\u7d71\u7684\u6574\u9ad4</td></tr><tr><td>\u300ccore\u300d \u8207\u300c 8conv\u300d \uff0c\u4e26\u9664\u53bb\u91cd\u8907\u7684\u8a9e\u8005\u5f8c\u9032\u884c\u5be6\u9a57\uff0c\u5176\u4e2d\u300c10sec\u300d\u70ba\u9577\u5ea6\u7d04 10 \u79d2\u7684 \u96fb\u8a71\u5c0d\u8a71\u9304\u97f3\uff0c\u4e00\u5171\u6709 2,257 \u4f4d(\u7537 959\uff0f\u5973 1,298)\u8a9e\u8005\uff0c\u6bcf\u4f4d\u8a9e\u8005\u63d0\u4f9b 1 \u4efd\u9304\u97f3 \u6a94\uff1b \u300ccore\u300d\u70ba\u9577\u5ea6\u7d04 3 \u81f3 15 \u5206\u9418\u7684\u96fb\u8a71\u5c0d\u8a71\u9304\u97f3\u6216\u9ea5\u514b\u98a8\u9304\u88fd\u7684\u9762\u8a66\u9304\u97f3\uff0c\u4e00\u5171\u6709 4,004 \u4f4d(\u7537 1,817\uff0f\u5973 2,187)\u8a9e\u8005\uff0c\u6bcf\u4f4d\u8a9e\u8005\u63d0\u4f9b 1 \u4efd\u9304\u97f3\u6a94\uff1b \u300c8conv\u300d\u70ba\u9577\u5ea6\u7d04 2 \u81f3 3 \u5206\u9418\u7684\u96fb\u8a71\u5c0d\u8a71\u9304\u97f3\uff0c\u4e00\u5171\u6709 445 \u4f4d(\u7537 194\uff0f\u5973 251)\u8a9e\u8005\uff0c\u6bcf\u4f4d\u8a9e\u8005\u63d0\u4f9b NIST SRE 2010 TIMIT r \u503c\u8d8a\u5927\uff0c\u6b63\u6a23\u672c\u6240\u5f97\u5230\u7684\u5206\u6578\u8207\u5176\u4ed6\u8ca0\u6a23\u672c\u76f8\u6bd4\u4fbf\u6703\u76f8\u5c0d\u9ad8\u51fa\u8a31\u591a\uff0c\u9032\u800c\u5f97\u5230\u8f03\u4f4e\u7684 \u5716 5 \u6240\u793a\uff1a \u5206\u4f48\u4e0a\u5448\u73fe\u7537\u5973\u5404\u81ea\u7fa4\u805a\uff0c\u4e14\u5bb9\u6613\u754c\u5b9a\u51fa\u5169\u7fa4 i-\u5411\u91cf\u4e4b\u908a\u754c\u7684\u60c5\u5f62\uff0c\u6b63\u5982\u540c\u5716 6 \u6240\u793a\u3002 \u8868 2\u3001\u795e\u7d93\u7db2\u8def\u6027\u5225\u5206\u985e\u5668\u4e4b\u6a21\u578b\u53c3\u6578 \u5728\u5be6\u9a57\u4e09\u4e2d\uff0c\u56e0 TIMIT \u8a9e\u6599\u5eab\u5728\u6027\u5225\u5206\u985e\u5668\u4e0a\u53ef\u4ee5\u9054\u5230\u96f6\u932f\u8aa4\u7387\u7684\u6548\u679c\uff0c\u6545\u5176\u65bc\u8a9e\u8005 \u65b9\u6cd5\u4e8c\uff1a\u6aa2\u67e5\u6e2c\u8a66\u97f3\u6a94\u7684\u7537\u5973\u6027\u5225\u6a5f\u7387\u5dee \u904b\u7b97\u901f\u5ea6\u6709\u8f03\u9ad8\u7684\u9700\u6c42\uff0c\u5247\u53ef\u4ee5\u9078\u64c7\u7dad\u6301\u539f\u4f86\u7684\u50b3\u7d71\u4f5c\u6cd5\u3002 \u4e09\u3001\u5be6\u9a57\u4e00\uff1a\u5c0d\u7167\u7d44 \u5be6\u9a57\u4e00\u5c07\u4ecb\u7d39\u672c\u8ad6\u6587\u8a2d\u5b9a\u7684\u5c0d\u7167\u7d44\u6d41\u7a0b\u8207\u5be6\u9a57\u7d50\u679c\uff0c\u6b64\u5be6\u9a57\u70ba\u5b8c\u5168\u4e0d\u4f7f\u7528\u8a9e\u8005\u6027\u5225\u8cc7\u8a0a \u7684\u50b3\u7d71\u8a9e\u8005\u9a57\u8b49\u65b9\u6cd5\uff0c\u4ea6\u70ba\u672c\u8ad6\u6587\u4e4b\u5f8c\u6240\u6709\u5be6\u9a57\u4e4b\u6bd4\u8f03\u4f9d\u64da\u3002\u672c\u5be6\u9a57\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5982\u5716 1 \u6240\u793a\uff1a \u5716 2\u3001\u5c0d\u7167\u7d44\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5716 \u5716\u4e4b\u5de6\u5074\u8207\u53f3\u5074\u5206\u5225\u70ba NIST SRE 2010 \u8a9e\u6599\u5eab\u8207 TIMIT \u8a9e\u6599\u5eab\u4e4b\u5be6\u9a57\u7d50\u679c\uff0c\u5169\u5f35\u5716\u7684 \u7e31\u8ef8\u70ba\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4e4b\u7b49\u932f\u8aa4\u7387\uff0c\u55ae\u4f4d\u70ba\u767e\u5206\u6bd4\uff1b\u6a6b\u8ef8\u70ba r\uff0c\u6b64 r \u503c\u4ee3\u8868\u7684\u662f\u300c\u8207\u8a3b\u518a \u8a9e\u8005\u4e0d\u540c\u6027\u5225\u7684\u4eff\u5192\u8005\u6bd4\u4f8b\u300d \uff0c\u4ee5\u4e0b\u5c07\u7c21\u55ae\u8aaa\u660e\u6b64\u5be6\u9a57\u8a2d\u8a08\u4e4b\u610f\u7fa9\u3002\u5728\u524d\u4e00\u7ae0\u7bc0\u4e2d\u63d0\u53ca\uff0c \u7b49\u932f\u8aa4\u7387\u3002 \u56db\u3001\u5be6\u9a57\u4e8c\uff1a\u6027\u5225\u8cc7\u8a0a\u61c9\u7528\u65b9\u6cd5 -\u7576\u6027\u5225\u5206\u985e\u5668\u8868\u73fe\u826f\u597d \u5728\u6b64\u5047\u8a2d\u4e0b\uff0c\u7576\u4e00\u500b\u6a23\u672c\u7684\u8a3b\u518a\u65b9\u8207\u6e2c\u8a66\u65b9\u64c1\u6709\u4e0d\u540c\u6027\u5225\uff0c\u56e0\u70ba\u5169\u8005\u7684 i-\u5411\u91cf\u4e4b\u9593\u7684\u8ddd \u96e2\u5f88\u5927\uff0c\u56e0\u6b64\u9019\u500b\u6a23\u672c\u4fbf\u76f8\u7576\u5bb9\u6613\u88ab\u7cfb\u7d71\u62d2\u7d55\u3002\u4f46\u5be6\u969b\u60c5\u6cc1\u4e2d\u537b\u4e26\u975e\u4e00\u5b9a\u5982\u6b64\uff0c\u5c24\u5176\u5c31 \u5fc5\u9808\u61f7\u7591\u6b64\u5047\u8a2d\u4e4b\u5408\u7406\u6027\u3002\u5716 7 \u5de6\u53f3\u5169\u5716\u662f\u5206\u5225\u4f7f\u7528\u4e3b\u6210\u5206\u5206\u6790(Principal Components \u7684\u53f3\u534a\u90e8\uff0c\u986f\u793a\u5176\u6700\u4f73\u9580\u6abb\u503c\u504f\u5927\uff1b\u800c\u7576 r \u503c\u8f03\u5927(0.4 ~ 1)\u6642\uff0c\u9019\u4e9b\u7dda\u689d\u4e4b\u6700\u4f4e\u9ede\u51fa \u6b64\u5206\u985e\u5668\u540c\u6a23\u4ee5\u6027\u5225\u4e0d\u76f8\u4f9d\u6a21\u578b\u7522\u751f\u7684 i-\u5411\u91cf\u4f5c\u70ba\u7279\u5fb5\uff0c\u4e26\u4ee5\u652f\u6301\u5411\u91cf\u6a5f\u4f5c\u70ba\u4e8c\u5143\u5206\u985e SRE 2010 \u8a9e\u6599\u4e2d\u8868\u73fe\u6700\u597d\u7684\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u5957\u7528\u65bc\u5be6\u9a57\u4e8c\u5404\u6d41\u7a0b\u4e4b\u5be6\u9a57\u7d50\u679c\uff1a \u6a23\u672c\u5206\u5225\u4ea4\u7531\u5c0d\u7167\u7d44\u6d41\u7a0b\u8207\u5be6\u9a57\u4e8c\u4e4b\u6539\u826f\u6d41\u7a0b\u9032\u884c\u5224\u5225\uff0c\u7406\u8ad6\u4e0a\u4fbf\u80fd\u5f97\u5230\u8fd1\u4f3c\u65bc\u5be6\u9a57\u4e8c \u7537\uff0f\u5973\u6027 i-\u5411\u91cf\u6a21\u578b\u5728\u8a13\u7df4\u904e\u7a0b\u4e2d\u4e26\u6c92\u6709\u63a5\u89f8\u904e\u5973\uff0f\u7537\u6027\u7684\u8cc7\u6599\u9019\u500b\u4e8b\u5be6\u4f86\u770b\uff0c\u6211\u5011\u66f4 \u5716 15\u3001\u65b9\u6cd5\u4e8c\u6d41\u7a0b\u4e4b\u9078\u5b9a\u6e2c\u8a66\u97f3\u6a94\u6027\u5225\u6a5f\u7387\u5dee\u9580\u6abb \u4e94\u3001\u5be6\u9a57\u4e09\uff1a\u6027\u5225\u5206\u985e\u5668\u5be6\u4f5c \u4ee5\u5713\u5708\u6a19\u51fa)\u4ea6\u4e0d\u76f8\u540c\uff0c\u4f8b\u5982\uff1a\u7576 r \u503c\u8f03\u5c0f(0 ~ 0.3)\u6642\uff0c\u9019\u4e9b\u7dda\u689d\u4e4b\u6700\u4f4e\u9ede\u51fa\u73fe\u5728\u5716 \u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668 \u5176\u4e2d\uff0c\u6a21\u578b\u7684\u6bcf\u5c64\u7bc0\u9ede\u6578\u91cf\u7531\u8f38\u5165\u81f3\u8f38\u51fa\u7aef\u7dda\u6027\u6e1b\u5c11\uff0c\u8209\u4f8b\u4f86\u8aaa\uff0c\u82e5 i-\u5411\u91cf\u7dad\u5ea6\u6578\u70ba n\uff0c \u9a57\u5c07\u50c5\u5305\u542b NIST SRE 2010 \u8a9e\u6599\u7684\u90e8\u5206\u3002\u5716 13 \u662f\u5c0d\u7167\u7d44\u6d41\u7a0b\u8207\u5c07\u5728\u5be6\u9a57\u4e09\u4e2d\u65bc NIST \u88ab\u5be6\u9a57\u4e8c\u4e4b\u5404\u6d41\u7a0b\u7cfb\u7d71\u932f\u8aa4\u62d2\u7d55\u3002\u5018\u82e5\u6211\u5011\u80fd\u5c07\u9019\u4e9b\u6e2c\u8a66\u8a9e\u8005\u906d\u8aa4\u5224\u6027\u5225\u7684\u6a23\u672c\u8207\u5176\u4ed6 \u795e\u7d93\u7db2\u8def\u7dad\u4e2d\u9593\u5c64\u6578\u70ba 4 \u5c64\uff0c\u5247\u6a21\u578b\u4e4b\u5404\u5c64\u7d50\u9ede\u6578\u5247\u5982\u5716 11 \u6240\u793a\uff1a \u9a57\u8b49\u6d41\u7a0b\u4e2d\u5957\u7528\u5be6\u9a57\u4e09\u6240\u5be6\u4f5c\u7684\u6027\u5225\u5206\u985e\u5668\u4e4b\u7d50\u679c\uff0c\u5c07\u8207\u5be6\u9a57\u4e8c\u7121\u7570\uff0c\u56e0\u6b64\u672c\u7ae0\u7bc0\u4e4b\u5be6 \u5728\u5148\u524d\u7684\u5be6\u9a57\u4e2d\uff0c\u6211\u5011\u53ef\u4ee5\u898b\u5230\u5716 13 \u8207\u5716 9 \u4e4b\u5dee\u8ddd\u4f86\u81ea\u65bc\u5c11\u6578\u906d\u8aa4\u5224\u6027\u5225\u7684\u6e2c\u8a66\u8a9e\u8005 \u7531\u5716\u4e2d\u53ef\u898b\uff0c\u6bcf\u689d\u7dda\u7686\u5448\u73fe\u51fa\u5169\u5074\u9ad8\u3001\u4e2d\u9593\u4f4e\u7684\u73fe\u8c61\uff0c\u800c\u6bcf\u689d\u7dda\u7684\u6700\u4f4e\u9ede\u4f4d\u7f6e(\u5728\u5716\u4e2d \u53c3\u8003\u6587\u737b</td></tr><tr><td>Keywords: Speaker Verification, Gender Information, Gender Classifier, i-vector, PLDA 8 1,005\uff0f\u5973 1,232)\u8a9e\u8005\u7684\u96c6\u5408\u3002\u800c\u95dc\u65bc\u6e2c\u8a66\u8cc7\u6599\u4e2d\u8a3b\u518a\u8a9e\u6599\u8207\u9a57\u8b49\u8a9e\u6599\u7684\u5206\u914d\uff0c\u6bcf\u4f4d\u8a9e \u8005\u7686\u50c5\u6703\u8a3b\u518a 1 \u7d44\u8a9e\u8005\u6a21\u578b\uff0c\u5176\u4e2d\u300c8conv\u300d\u7684\u6bcf\u7d44\u6a21\u578b\u7686\u4ee5 7 \u4efd\u97f3\u6a94\u8a3b\u518a\u800c\u6210\uff0c\u5269 \u4e0b 1 \u4efd\u97f3\u6a94\u4f5c\u70ba\u9a57\u8b49\u97f3\u6a94\uff1b\u800c\u7531\u65bc\u300c10sec\u300d\u8207\u300ccore\u300d\u7684\u6bcf\u4f4d\u8a9e\u8005\u7686\u53ea\u6709 1 \u4efd\u97f3\u6a94\uff0c \u5716 1\u3001\u5c0d\u7167\u7d44\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5716 \u672c\u8ad6\u6587\u4e4b\u8cc7\u6599\u914d\u7f6e\u5f62\u5f0f\u70ba\u6bcf\u4e00\u4f4d\u8a3b\u518a\u8a9e\u8005\u914d\u5c0d 1 \u4efd\u81ea\u5df1\u7684\u97f3\u6a94\u4f5c\u70ba\u6b63\u6a23\u672c\uff0c\u4e26\u642d\u914d\u8a31\u591a \u5176\u4ed6\u4eff\u5192\u8005\u7684\u8072\u97f3\u4f5c\u70ba\u8ca0\u6a23\u672c\uff0c\u800c\u6311\u9078\u4eff\u5192\u8005\u7684\u4e00\u9805\u91cd\u8981\u8003\u91cf\uff0c\u4fbf\u662f\u9019\u4e9b\u8a9e\u8005\u7684\u6027\u5225\u3002 \u4eca\u5047\u8a2d\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u67b6\u8a2d\u65bc\u4f7f\u7528\u8005\u4e4b\u884c\u52d5\u88dd\u7f6e\u4e0a\uff0c\u5247\u53ef\u4ee5\u8003\u616e\u5169\u7a2e\u60c5\u666f\uff0c\u5982\u5716 3 \u6240\u793a\uff1a \u5be6\u9a57\u4e8c\u5c07\u4ecb\u7d39\u82e5\u5e72\u7a2e\u5c07\u6027\u5225\u8cc7\u8a0a\u61c9\u7528\u65bc\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4ee5\u63d0\u5347\u5176\u8fa8\u8b58\u7387\u4e4b\u65b9\u6cd5\uff0c\u5305\u62ec\u4e00\u822c \u5668\uff0c\u5224\u65b7\u97f3\u6a94\u7684\u6027\u5225\u3002\u672c\u5206\u985e\u5668\u4e4b\u5be6\u9a57\u7d50\u679c\u5982\u5716 10 \u6240\u793a\uff1a \u4e4b\u6548\u679c\u3002\u82e5\u6b32\u5be6\u969b\u57f7\u884c\u6b64\u6982\u5ff5\uff0c\u8981\u5982\u4f55\u9810\u6e2c\u6027\u5225\u5206\u985e\u5668\u80fd\u5426\u6b63\u78ba\u9810\u6e2c\u6e2c\u8a66\u8a9e\u8005\u4e4b\u6027\u5225\uff0c Analysis, PCA)\u548c t-\u5206\u4f48\u96a8\u6a5f\u76f8\u9130\u5d4c\u5165(T-distributed Stochastic Neighbor Embedding, \u73fe\u5728\u5716\u7684\u5de6\u534a\u90e8\uff0c\u986f\u793a\u5176\u6700\u4f73\u9580\u6abb\u503c\u504f\u5c0f\u3002\u7531\u6b64\u73fe\u8c61\u53ef\u4ee5\u63a8\u65b7\uff0c\u7537\u5973\u6027\u5225\u6a5f\u7387\u5dee\u4e4b\u9580\u6abb \u6700\u5e38\u898b\u4f5c\u6cd5\uff0c\u4ee5\u53ca\u672c\u8ad6\u6587\u63d0\u51fa\u7684\u91dd\u5c0d\u524d\u8005\u5f31\u9ede\u6240\u9032\u884c\u4e4b\u6539\u826f\u65b9\u6cd5\u3002\u53e6\u5916\uff0c\u672c\u5be6\u9a57\u4e4b\u76ee\u7684 \u5728\u65bc\u8b49\u660e\u5728\u6027\u5225\u5206\u985e\u5668\u8868\u73fe\u826f\u597d\u4e4b\u524d\u63d0\u4e0b\uff0c\u85c9\u7531\u6709\u6548\u904b\u7528\u6027\u5225\u8cc7\u8a0a\uff0c\u4fbf\u80fd\u63d0\u5347\u7cfb\u7d71\u8fa8\u8b58 \u7387\uff1b\u56e0\u6b64\u672c\u5be6\u9a57\u4e2d\u5c0d\u65bc\u6240\u6709\u539f\u672c\u61c9\u5047\u5b9a\u70ba\u672a\u77e5\u6027\u5225\u7684\u6e2c\u8a66\u8a9e\u8005\uff0c\u7686\u4ee5\u5176\u771f\u5be6\u6027\u5225\u4ee3\u66ff\u6027 \u5225\u5206\u985e\u5668\u7684\u9810\u6e2c\u7d50\u679c\u3002 \u540c\u6a23\u5730\uff0c\u5716\u4e4b\u5de6\u5074\u8207\u53f3\u5074\u5206\u5225\u70ba NIST SRE 2010 \u8a9e\u6599\u5eab\u8207 TIMIT \u8a9e\u6599\u5eab\u4e4b\u5be6\u9a57\u7d50\u679c\uff0c 4.07% \u7684\u6d41\u7a0b-\u4ee5\u6027\u5225\u76f8\u95dc\u6a21\u578b\u62bd\u51fa\u96d9\u65b9\u7684 i-\u5411\u91cf\u4e4b\u5f8c\uff0c\u4ee5\u6a5f\u7387\u6027\u7dda\u6027\u5224\u5225\u5206\u6790\u6a21\u578b\u8a08\u7b97\u51fa\u5206 0% \u4e00\u4efd\u97f3\u6a94\u7684\u5169\u500b\u6a5f\u7387\u503c\u76f8\u5dee\u975e\u5e38\u591a\uff0c\u4ee3\u8868\u6027\u5225\u5206\u985e\u5668\u5c0d\u6b64\u97f3\u6a94\u4e4b\u6027\u5225\u9810\u6e2c\u7d50\u679c\u6709\u8f03\u5927\u7684 \u51fa\u6e2c\u8a66\u8a9e\u8005\u4e4b\u6027\u5225\u5f8c\uff0c\u9808\u6aa2\u8996\u5176\u662f\u5426\u8207\u8a3b\u518a\u8a9e\u8005\u4e4b\u6027\u5225\u76f8\u540c\uff0c\u82e5\u76f8\u540c\uff0c\u5247\u7e7c\u7e8c\u9032\u884c\u539f\u672c \u5716 5\u3001\u524d\u4eba\u4f5c\u6cd5\u4e4b\u7d50\u679c NIST SRE 2010 TIMIT \u5fc5\u7136\u662f\u6b64\u65b9\u6cd5\u5fc5\u9808\u9762\u5c0d\u7684\u7b2c\u4e00\u500b\u554f\u984c\uff0c\u800c\u672c\u6d41\u7a0b\u5c07\u63d0\u4f9b\u4e00\u500b\u8f03\u7c21\u55ae\u7684\u9810\u6e2c\u65b9\u6cd5\uff1a\u4ee5\u6e2c\u8a66 TSNE) \uff0c\u5c07\u8a13\u7df4\u8cc7\u6599\u4e2d\u7684 i-\u5411\u91cf\u964d\u81f3\u4e8c\u7dad\u5e73\u9762\u6240\u7e6a\u88fd\u7684\u9ede\u5206\u4f48\u5716\uff1a \u5716 8\u3001\u65b9\u6cd5\u4e00\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5716 \u6b64\u7248\u672c\u4e4b\u6d41\u7a0b\u8207\u524d\u4eba\u4f5c\u6cd5\u985e\u4f3c\uff0c\u4e0d\u540c\u4e4b\u8655\u5728\u65bc\u5176\u591a\u51fa\u4e86\u4e00\u500b\u6b65\u9a5f\uff1a\u5728\u4ee5\u6027\u5225\u5206\u985e\u5668\u5224\u65b7 \u4e26\u6c92\u6709\u6700\u4f73\u89e3\uff0c\u800c\u662f\u6703\u96a8\u8457\u8cc7\u6599\u7684 r \u503c\u800c\u8b8a\u52d5\u3002\u5716 16 \u70ba\u65b9\u6cd5\u4e8c\u6d41\u7a0b\u6307\u5b9a t \u503c\u70ba 4 \u6642\u4e4b \u5716 11\u3001\u795e\u7d93\u7db2\u8def\u6a21\u578b\u4e4b\u5f62\u72c0 \u97f3\u6a94\u7684\u6027\u5225\u6a5f\u7387\u4f86\u9810\u6e2c\u6027\u5225\u5206\u985e\u5668\u80fd\u5426\u6b63\u78ba\u9810\u6e2c\u5176\u6027\u5225\u3002\u5be6\u9a57\u4e09\u6240\u5be6\u505a\u7684\u6027\u5225\u5206\u985e\u5668\uff0c 3.93% \u9664\u4e86\u80fd\u9810\u6e2c\u4e00\u4f4d\u8a9e\u8005\u4e4b\u6027\u5225\uff0c\u66f4\u53ef\u4ee5\u7cbe\u78ba\u5730\u8a08\u7b97\u51fa\u8a72\u8a9e\u8005\u5c6c\u65bc\u7537\u6027\u6216\u5973\u6027\u7684\u6a5f\u7387\uff0c\u800c\u82e5 \u672c\u5206\u985e\u5668\u4e4b\u5be6\u9a57\u7d50\u679c\u5982\u5716 12 \u6240\u793a\uff1a \u5be6\u9a57\u7d50\u679c\uff1a</td></tr><tr><td>\u56e0\u6b64\u9019\u88e1\u5c07\u6bcf\u4efd\u97f3\u6a94\u5206\u5272\u70ba 4 \u7b49\u4efd\uff0c\u6bcf\u7d44\u6a21\u578b\u7686\u4ee5 3 \u4efd\u97f3\u6a94\u8a3b\u518a\u800c\u6210\uff0c\u5269\u4e0b 1 \u4efd\u97f3 \u6d41\u7a0b\u5716\u4e2d\u4e4b\u5404\u9805\u6a21\u578b\u4ee5 Bob toolbox [3]\u9032\u884c\u5be6\u4f5c\u3002\u7531\u5716\u4e2d\u53ef\u898b\uff0c\u8a3b\u518a\u97f3\u6a94\u8207\u6e2c\u8a66\u97f3\u6a94\u5206 \u524d\u4eba\u4f5c\u6cd5(\u4e00\u822c\u5e38\u898b\u4f5c\u6cd5) \u5169\u5f35\u5716\u7684\u85cd\u7dda\u70ba\u65b9\u624d\u5c0d\u7167\u7d44\u6d41\u7a0b\u7684\u7d50\u679c\uff0c\u6a58\u7dda\u5247\u662f\u672c\u505a\u6cd5\u7684\u7d50\u679c\u3002\u7531\u5716\u4e2d\u53ef\u4ee5\u770b\u5230\uff0c\u5728 \u6578\uff1b\u82e5\u4e0d\u540c\uff0c\u5247\u76f4\u63a5\u62d2\u7d55\u6b64\u6e2c\u8a66\u8a9e\u8005(\u6253\u4e0a\u975e\u5e38\u4f4e\u7684\u5206\u6578) \uff0c\u56e0\u70ba\u4e0d\u540c\u6027\u5225\u7684\u8072\u97f3\u4e0d\u53ef NIST SRE 2010 TIMIT \u5716 13\u3001\u5404\u9805\u8a9e\u8005\u9a57\u8b49\u6d41\u7a0b\u4f7f\u7528\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u4e4b\u5be6\u9a57\u7d50\u679c \u4fe1\u5fc3\uff0c\u56e0\u6b64\u4fbf\u5c07\u6b64\u6a23\u672c\u4ea4\u7531\u65b9\u6cd5\u4e00\u6d41\u7a0b\u9032\u884c\u5224\u5225\uff0c\u53cd\u4e4b\uff0c\u82e5\u4e00\u4efd\u97f3\u6a94\u7684\u5169\u500b\u6a5f\u7387\u503c\u76f8\u5dee</td></tr><tr><td>\u4e00\u3001\u7dd2\u8ad6 \u6a94\u4f5c\u70ba\u9a57\u8b49\u97f3\u6a94\u3002\u6e2c\u8a66\u8cc7\u6599\u7684\u6bcf\u4e00\u4f4d\u8a9e\u8005\u7686\u6703\u81ea\u9a57\u8b49\u8a9e\u6599\u4e2d\u6311\u9078 1,000 \u4efd\u97f3\u6a94\u4f86\u6e2c\u8a66 \u5225\u62bd\u53d6 MFCC \u7279\u5fb5\u5f8c\uff0c\u6703\u7d93\u7531 i-\u5411\u91cf\u6a21\u578b\u5404\u81ea\u62bd\u53d6 i-\u5411\u91cf [4] [5] [6]\uff0c\u6700\u5f8c\u7d93\u7531 PLDA TSNE PCA \u672c\u65b9\u6cd5\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5982\u5716 4 \u6240\u793a\uff1a NIST SRE 2010 \u8a9e\u6599\u4e2d\uff0c\u672c\u505a\u6cd5\u7684\u7d50\u679c\u5f9e r = 0 \u81f3 r = 1 \u59cb\u7d42\u90fd\u8f03\u5c0d\u7167\u7d44\u4f5c\u6cd5\u8981\u9032\u6b65\uff0c\u8b49 \u80fd\u5c6c\u65bc\u540c\u4e00\u4f4d\u8a9e\u8005\u3002\u5982\u6b64\u4e00\u4f86\uff0c\u4fbf\u80fd\u6d88\u9664\u5728\u524d\u4eba\u4f5c\u6cd5\u4e2d\u56e0\u4e0d\u540c\u6027\u5225\u7684 i-\u5411\u91cf\u5728\u7a7a\u9593\u5206\u4f48 \u5716 10\u3001\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u4e4b\u7d50\u679c 0% \u540c\u6a23\u5730\uff0c\u85cd\u7dda\u3001\u6a58\u7dda\u3001\u7d05\u7dda\u5206\u5225\u4ee3\u8868\u5c0d\u7167\u7d44\u3001\u524d\u4eba\u4f5c\u6cd5\u8207\u65b9\u6cd5\u4e00\u7684\u7d50\u679c\uff0c\u7531\u5716\u4e2d\u53ef\u4ee5\u898b \u904e\u5c0f\uff0c\u5247\u4ee3\u8868\u6027\u5225\u5206\u985e\u5668\u7684\u5224\u65b7\u6709\u8f03\u5927\u7684\u6a5f\u6703\u51fa\u932f\uff0c\u56e0\u6b64\u4fbf\u5c07\u6b64\u6a23\u672c\u4ea4\u7531\u5c0d\u7167\u7d44\u6d41\u7a0b\u9032</td></tr><tr><td>\u8a9e\u8005\u8fa8\u8b58\uff0c\u6216\u7a31\u81ea\u52d5\u8a9e\u8005\u8fa8\u8b58(automatic speaker recognition) \uff0c\u662f\u4e00\u7a2e\u5c07\u4eba\u985e\u7684\u8a9e\u97f3\u900f \u904e\u96fb\u5b50\u8a2d\u5099\u8f49\u63db\u6210\u96fb\u5b50\u8a0a\u865f\u5f8c\uff0c\u5229\u7528\u6f14\u7b97\u6cd5\u5206\u6790\u4e0d\u540c\u8a9e\u8005\u4e4b\u9593\u7684\u8072\u7d0b\u7279\u6027\u5dee\u7570\uff0c\u4f86\u9032\u884c \u8a9e\u8005\u8eab\u4efd\u8fa8\u8b58\u7684\u5de5\u4f5c\u3002\u8a9e\u8005\u8fa8\u8b58\u7684\u61c9\u7528\u9818\u57df\u76f8\u7576\u5ee3\u6cdb\uff0c\u9664\u4e86\u6700\u5e38\u898b\u7684\u500b\u4eba\u8a2d\u5099\u5b58\u53d6\u63a7\u5236 \u4e4b\u5916\uff0c\u8209\u51e1\u9580\u7981\u7cfb\u7d71\u3001\u4fe1\u7528\u4ea4\u6613\u3001\u72af\u7f6a\u5075\u6e2c\u3001\u96fb\u5b50\u6703\u8b70\u8f14\u52a9\u3001\u5211\u4e8b\u6848\u4ef6\u8209\u8b49\u7b49\u7686\u5c6c\u65bc\u5176 \u61c9\u7528\u7bc4\u7587\uff1b\u4e14\u7531\u65bc\u5176\u9700\u6c42\u4e0d\u65b7\u64f4\u5927\uff0c\u5982\u4f55\u589e\u9032\u8a9e\u8005\u8fa8\u8b58\u6280\u8853\u7684\u6e96\u78ba\u5ea6\u8207\u6216\u63d0\u5347\u7cfb\u7d71\u6f14\u7b97 \u6cd5\u4e4b\u901f\u5ea6\uff0c\u81f3\u4eca\u4ecd\u5438\u5f15\u5b78\u754c\u8207\u696d\u754c\u6295\u5165\u5927\u91cf\u7814\u7a76\u5fc3\u529b\u3002\u672c\u8ad6\u6587\u4ee5\u8a9e\u8005\u9a57\u8b49\u4f5c\u70ba\u7814\u7a76\u4e3b\u8ef8\uff0c \u4e3b\u8981\u65b9\u5411\u70ba\u63a2\u8a0e\u300c\u8a9e\u8005\u7684\u6027\u5225\u8cc7\u8a0a\u300d\u5c0d\u65bc\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u6240\u7522\u751f\u7684\u5f71\u97ff\uff0c\u63a2\u8a0e\u7684\u9805\u76ee\u5305\u62ec \u4ee5\u4e0b 3 \u9ede\uff1a\u7b2c\u4e00\uff0c\u672c\u8ad6\u6587\u5c07\u63a2\u8a0e\u524d\u4eba\u5982\u4f55\u5229\u7528\u6027\u5225\u8cc7\u8a0a\u63d0\u5347\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4e4b\u8fa8\u8b58\u7387\uff0c \u4e26\u5206\u6790\u8a72\u4f5c\u6cd5\u4e4b\u5f31\u9ede\uff1b\u7b2c\u4e8c\uff0c\u672c\u8ad6\u6587\u5c07\u63d0\u51fa\u5176\u4ed6\u6027\u5225\u8cc7\u8a0a\u61c9\u7528\u65b9\u6cd5\u4e4b\u6539\u826f\uff0c\u4e26\u5206\u6790\u5404\u7a2e \u65b9\u6cd5\u9069\u7528\u4e4b\u60c5\u6cc1\uff1b\u6700\u5f8c\uff0c\u672c\u8f2a\u6587\u5c07\u5be6\u4f5c\u6027\u5225\u5206\u985e\u5668\uff0c\u4e26\u5be6\u969b\u5c07\u5176\u61c9\u7528\u65bc\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4e2d\u3002 \u81ea\u5df1\u7684\u8a9e\u8005\u6a21\u578b\uff0c1,000 \u4efd\u97f3\u6a94\u4e2d\u5176\u4e2d 1 \u4efd\u662f\u6703\u662f\u6b63\u6a23\u672c(\u5c6c\u65bc\u6b64\u8a9e\u8005\u7684\u8072\u97f3) \uff0c\u800c\u5176 \u4ed6 999 \u4efd\u5247\u662f\u96a8\u6a5f\u6311\u9078\u7684\u8ca0\u6a23\u672c(\u4e0d\u5c6c\u65bc\u6b64\u8a9e\u8005\u7684\u8072\u97f3) \uff0c\u56e0\u6b64\u6240\u6709\u6b32\u8a55\u6e2c\u7684\u6a23\u672c\u4e00\u5171 \u6709 \u4efd\u3002 \u6a21\u578b\u7b97\u51fa\u5206\u6578 [7] [8] [9]\uff1b\u5176\u4e2d\uff0c\u6b64\u8655\u6240\u8ff0\u4e4b i-\u5411\u91cf\u6a21\u578b\u88e1\u9664\u4e86\u5305\u542b\u539f\u672c\u7528\u4ee5\u5c07\u8d85\u5411\u91cf \u8f49\u5316\u70ba i-\u5411\u91cf\u7684\u7e3d\u9ad4\u8b8a\u7570\u77e9\u9663\u4e4b\u5916\uff0c\u4ea6\u5305\u6db5\u4e86\u767d\u5316\u8f49\u63db\u6a21\u578b [10] \u8207\u7dda\u6027\u5224\u5225\u5206\u6790\u6a21\u578b [11]\u3002\u8868 1 \u70ba\u5c0d\u7167\u7d44\u6d41\u7a0b\u6240\u4f7f\u7528\u7684\u6a21\u578b\u53c3\u6578\uff0c\u800c\u672c\u8ad6\u6587\u5176\u4ed6\u8a9e\u8005\u9a57\u8b49\u76f8\u95dc\u6d41\u7a0b\u4e4b\u6a21\u578b\u53c3 \u6578\u8a2d\u5b9a\u4ea6\u8207\u5c0d\u7167\u7d44\u76f8\u540c\uff1a \u8868 1\u3001\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u6a21\u578b\u53c3\u6578\u8a2d\u5b9a \u5716 3\u3001\u4e0d\u540c\u7684 r \u503c\u8207\u7cfb\u7d71\u61c9\u7528\u60c5\u5883 \u7b2c\u4e00\uff0c\u7576\u4f7f\u7528\u8005\u5230\u4e86\u6559\u5ba4\u6216\u662f\u5de5\u4f5c\u5834\u6240\u6642\uff0c\u82e5\u6709\u540c\u4e8b\u6216\u540c\u5b78\u610f\u5716\u5728\u672a\u7d93\u8a72\u4f7f\u7528\u8005\u540c\u610f\u4e0b \u5b58\u53d6\u5176\u884c\u52d5\u88dd\u7f6e\uff0c\u7531\u65bc\u4ed6\u5011\u7686\u719f\u6089\u8a72\u4f7f\u7528\u8005\u7684\u8072\u97f3\uff0c\u56e0\u6b64\u52e2\u5fc5\u6703\u627e\u8072\u97f3\u8207\u8a72\u4f7f\u7528\u8005\u76f8\u50cf \u7684\u4eba-\u81f3\u5c11\u6703\u8207\u8a72\u4f7f\u7528\u8005\u540c\u6027\u5225-\u4f86\u89e3\u9396\u5176\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\uff0c\u5728\u6b64\u60c5\u5883\u4e0b\uff0c\u6211\u5011\u53ef\u4ee5\u5047\u8a2d \u7d55\u5927\u90e8\u5206\u7684\u4eff\u5192\u8005\u7686\u6703\u548c\u4f7f\u7528\u8005\u540c\u6027\u5225(\u4e8b\u5be6\u4e0a\uff0cNIST SRE 2010 \u6bd4\u8cfd\u4ea6\u662f\u8a2d\u8a08\u6210\u6bcf\u500b \u6a23\u672c\u7684\u8a3b\u518a\u65b9\u8207\u6e2c\u8a66\u65b9\u7684\u6027\u5225\u7686\u76f8\u540c\uff0c\u56e0\u6b64\u8207\u6b64\u60c5\u5883\u76f8\u540c) \u3002\u7b2c\u4e8c\uff0c\u7576\u4f7f\u7528\u8005\u7684\u884c\u52d5\u88dd \u7f6e(\u88ab\u964c\u751f\u4eba)\u5077\u7aca\u6216\u4e0d\u614e\u907a\u5931\u6642\uff0c\u7531\u65bc\u62ff\u5230\u5176\u884c\u52d5\u88dd\u7f6e\u7684\u4eba\u4e26\u4e0d\u77e5\u66c9\u8a72\u4f7f\u7528\u8005\u7684\u6027\u5225 \u6216\u8072\u97f3\u7279\u6027\uff0c\u56e0\u6b64\u6b64\u7a2e\u60c5\u5883\u4e0b\u4fbf\u4e0d\u80fd\u5047\u8a2d\u4eff\u5192\u8005\u6703\u548c\u8a72\u4f7f\u7528\u8005\u4e4b\u6027\u5225\u76f8\u540c\uff0c\u4eff\u5192\u8005\u548c\u8a72 \u4f7f\u7528\u8005\u7684\u6027\u5225\u76f8\u540c\u7684\u6a5f\u7387\u5728\u6b64\u6642\u53ea\u6709 1\uff0f2\uff0c\u751a\u81f3\u66f4\u4f4e\u3002\u7d9c\u5408\u4ee5\u4e0a\u5169\u7a2e\u60c5\u5883\uff0c\u6211\u5011\u4fbf\u5fc5\u9808 \u5716 4\u3001\u524d\u4eba\u4f5c\u6cd5\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5716 \u660e\u4e86\u5176\u5be6\u7528\u6027\uff1b\u4f46\u53cd\u89c0 TIMIT \u8a9e\u6599\uff0c\u5176\u5be6\u9a57\u7d50\u679c\u5728\u6700\u5de6\u5074 r = 0 \u6642\u5c1a\u8f03\u5c0d\u7167\u7d44\u9032\u6b65\u4e00\u4e9b\uff0c \u4f46\u6162\u6162\u5f80\u53f3\u5074 r = 1 \u65b9\u5411\u79fb\u52d5\u6642\uff0c\u7531\u65bc\u5176\u7b49\u932f\u8aa4\u7387\u7684\u4e0b\u964d\u901f\u7387\u8f03\u5c0d\u7167\u7d44\u6162\u4e0a\u8a31\u591a\uff0c\u5c0e\u81f4 \u5176\u7d50\u679c\u9010\u6f38\u88ab\u5c0d\u7167\u7d44\u8d85\u8d8a\uff0c\u751a\u81f3\u88ab\u62c9\u958b\u8ddd\u96e2\u3002\u7531\u65bc\u8a31\u591a\u8a9e\u8005\u9a57\u8b49\u6bd4\u8cfd\u7684\u6a23\u672c(\u5982 NIST SRE 2010)\u4e26\u4e0d\u5305\u542b\u8a3b\u518a\u8a9e\u8005\u8207\u6e2c\u8a66\u8a9e\u8005\u6027\u5225\u4e0d\u540c\u7684\u60c5\u5f62\uff0c\u56e0\u6b64\u8a31\u591a\u4ee5\u672c\u4f5c\u6cd5\u5be6\u4f5c\u7684\u8a9e \u8005\u9a57\u8b49\u7cfb\u7d71\uff0c\u4fbf\u6c92\u80fd\u5c0d\u6b64\u73fe\u8c61\u505a\u9032\u4e00\u90e8\u63a2\u8a0e\u6216\u9032\u884c\u88dc\u511f\u63aa\u65bd\u3002\u800c\u672c\u7814\u7a76\u63a8\u6e2c\uff0c\u9020\u6210\u4e0a\u8ff0 \u73fe\u8c61\u7684\u4e3b\u56e0\uff0c\u662f\u4f86\u81ea\u65bc\u672c\u505a\u6cd5\u7684\u4e00\u500b\u7f3a\u9677\uff1a\u4f7f\u7528\u6027\u5225\u76f8\u95dc\u6a21\u578b\u62bd\u53d6\u7684\u7537\u6027 i-\u5411\u91cf\u8207\u5973\u6027 i-\u5411\u91cf\uff0c\u5728\u7a7a\u9593\u5206\u4f48\u4e0a\u53ef\u80fd\u5b58\u5728\u91cd\u758a\u73fe\u8c61\u3002\u5716 6 \u70ba i-\u5411\u91cf\u4e4b\u7406\u60f3\u4e8c\u7dad\u9ede\u5206\u4f48\u5716\uff1a \u4e0a\u7684\u91cd\u758a\u73fe\u8c61\u800c\u9020\u6210\u7684\u932f\u8aa4\u63a5\u53d7\u7387\u6500\u5347\u4e4b\u554f\u984c\u3002\u65b9\u6cd5\u4e00\u6d41\u7a0b\u7684\u5be6\u9a57\u7d50\u679c\u5982\u5716 9 \u6240\u793a\u3002\u540c \u672c\u5206\u985e\u5668\u4e4b\u5be6\u9a57\u8207\u524d\u8005\u76f8\u540c\uff0c\u8abf\u6574\u4e86 i-\u5411\u91cf\u6a21\u578b\u4e2d\u7684 i-\u5411\u91cf\u4e4b\u521d\u59cb\u7dad\u5ea6\u8207\u5176\u964d\u7dad\u5f8c\u7684\u7dad NIST SRE 2010 TIMIT \u884c\u5224\u5225\u3002\u4f9d\u6b64\u6982\u5ff5\uff0c\u4fbf\u53ef\u4ee5\u884d\u751f\u51fa\u5982\u5716 14 \u4e4b\u6d41\u7a0b\uff1a \u5230\uff0c\u5728\u5be6\u969b\u5957\u7528\u771f\u5be6\u6027\u5225\u5206\u985e\u5668\u4e4b\u5f8c\uff0c\u5be6\u9a57\u4e8c\u4e2d\u7684\u6240\u6709\u6d41\u7a0b\u5728\u4e0d\u540c r \u503c\u4e0b\u7684\u5be6\u9a57\u7d50\u679c\u7522 \u5716 7\u3001i-\u5411\u91cf\u4e4b\u5be6\u969b\u4e8c\u7dad\u9ede\u5206\u4f48\u5716-\u4ee5 TSNE \u8207 PCA \u5c07 i-\u5411\u91cf\u964d\u70ba\u4e8c\u7dad \u6a23\u5730\uff0c\u85cd\u7dda\u8207\u6a58\u7dda\u5206\u5225\u70ba\u5c0d\u7167\u7d44\u6d41\u7a0b\u8207\u524d\u4eba\u4f5c\u6cd5\u6d41\u7a0b\u4e4b\u5be6\u9a57\u7d50\u679c\uff0c\u800c\u65b0\u589e\u7684\u7d05\u7dda\u5247\u662f \u5716 12\u3001\u795e\u7d93\u7db2\u8def\u6027\u5225\u5206\u985e\u5668\u4e4b\u7d50\u679c \u751f\u4e86\u660e\u986f\u7684\u9000\u6b65\uff0c\u751a\u81f3\u6bd4\u5c0d\u7167\u7d44\u6d41\u7a0b\u4e4b\u7d50\u679c\u66f4\u5dee\u3002\u96d6\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u4e4b\u932f\u8aa4\u7387\u50c5 MFCC \u5716 16\u3001\u65b9\u6cd5\u4e8c\u6d41\u7a0b\u4e4b\u7d50\u679c \u5ea6\uff0c\u5169\u8005\u5206\u5225\u5728\u5716 10 \u4e2d\u4ee5\u4e0d\u540c\u984f\u8272\u7684\u7dda\u8207\u5716\u4e4b\u6a6b\u8ef8\u8868\u793a\uff1b\u6b64\u5916\uff0c\u4ea6\u8abf\u6574\u4e86\u652f\u6301\u5411\u91cf\u6a5f \u7531\u5169\u5f35\u5716\u6211\u5011\u80fd\u6e05\u695a\u770b\u5230\uff0c\u5169\u500b\u6027\u5225\u7684 i-\u5411\u91cf\u7fa4\u5728\u7a7a\u9593\u5206\u4f48\u4e0a\u78ba\u5be6\u5b58\u5728\u91cd\u758a\u7684\u60c5\u5f62\u3002\u9019 \u4e2d\u6700\u91cd\u8981\u7684 2 \u500b\u53c3\u6578\uff1acost \u8207 gamma\u3002\u5728\u5716\u4e2d\uff0c\u6bcf\u4e00\u500b\u6578\u64da\u9ede\u7686\u662f\u5c07 cost \u8207 gamma \u5206 \u6709 3.93%\uff0c\u4f46\u9019\u4e9b\u5c11\u91cf\u7684\u932f\u8aa4\u537b\u6703\u9020\u6210\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u4e4b\u8868\u73fe\u9020\u6210\u5de8\u5927\u5f71\u97ff\uff0c\u5176\u539f\u56e0\u4e00\u6a23 \u540c\u6a23\u5730\uff0c\u85cd\u7dda\u8207\u6a58\u7dda\u5206\u5225\u4ee3\u8868\u5c0d\u7167\u7d44\u8207\u65b9\u6cd5\u4e00\u6d41\u7a0b\u4f7f\u7528\u771f\u5be6\u6027\u5225\u4ee3\u66ff\u6027\u5225\u5206\u985e\u5668\u4e4b\u7d50\u679c\uff0c \u8207\u524d\u4e00\u500b\u5206\u985e\u5668\u4e0d\u540c\u7684\u662f\uff0c\u672c\u5be6\u9a57\u6240\u4f7f\u7528\u7684 i-\u5411\u91cf\u4e00\u5f8b\u7dad\u6301\u521d\u59cb\u7dad\u5ea6\uff0c\u800c\u4e0d\u4f7f\u7528\u7dda\u6027\u5224 \u7a2e\u73fe\u8c61\u6703\u9020\u6210\u8a9e\u8005\u9a57\u8b49\u7cfb\u7d71\u7684\u932f\u8aa4\u7387\u4e0a\u5347\uff0c\u5c24\u5176\u5728\u7576\u6b32\u6e2c\u8a66\u7684\u6a23\u672c\u4e2d\u542b\u6709\u5927\u91cf\u8a3b\u518a\u65b9\u8207 \u5225\u5728\u96c6\u5408{0.1, 1, 10, 100, 1000}\u8207{0.01, 0.1, 1, 10, 100}\u5167\u9032\u884c\u6392\u5217\u7d44\u5408\uff0c\u4e26\u4ee5\u7db2\u683c\u641c\u5c0b \u5225\u5206\u6790\u6a21\u578b\u9032\u884c\u964d\u7dad\uff0c\u800c\u672c\u5206\u985e\u5668\u4e4b\u5be6\u9a57\u904e\u7a0b\u8abf\u6574\u7684\u5169\u500b\u53c3\u6578\u5247\u6539\u70ba\u662f i-\u5411\u91cf\u4e4b\u521d\u59cb\u7dad \u53ef\u5206\u70ba\u932f\u8aa4\u63a5\u53d7\u8207\u932f\u8aa4\u62d2\u7d55\u5169\u7a2e\u60c5\u5f62\u4f86\u63a2\u8a0e\uff1a\u6211\u5011\u53ef\u4ee5\u60f3\u50cf\uff0c\u7576\u8a3b\u518a\u8a9e\u8005\u8207\u6e2c\u8a66\u8a9e\u8005\u70ba \u800c\u65b0\u589e\u7684\u7da0\u7dda\u5247\u662f\u672c\u65b9\u6cd5\u4e8c\u6d41\u7a0b\u4e4b\u7d50\u679c\u3002\u6211\u5011\u53ef\u4ee5\u770b\u5230\uff0c\u6b64\u65b9\u6cd5\u4e8c\u6d41\u7a0b\u7d42\u65bc\u9054\u5230\u4e86\u6700\u521d \u6e2c\u8a66\u65b9\u4e0d\u540c\u6027\u5225\u7684\u60c5\u5f62\uff0c\u5373 r \u6709\u8f03\u5927\u7684\u503c\u6642\u66f4\u70ba\u986f\u8457\u3002\u70ba\u65b9\u4fbf\u8a0e\u8ad6\uff0c\u6b64\u8655\u5047\u8a2d\u7cfb\u7d71\u4e4b\u8a55 \u6cd5(grid search)\u6240\u5c0b\u627e\u5230\u7684\u6700\u4f73\u53c3\u6578\u7d44\u5408\u4e4b\u7d50\u679c\u3002\u540c\u6a23\u5730\uff0c\u5716\u4e2d\u7684\u7d05\u8272\u865b\u7dda\u6240\u6a19\u8a18\u7684 \u5ea6\u8207\u795e\u7d93\u7db2\u8def\u6a21\u578b\u7684\u4e2d\u9593\u5c64\u6578\uff0c\u5169\u8005\u5206\u5225\u5728\u5716 12 \u4e2d\u4ee5\u4e0d\u540c\u984f\u8272\u7684\u7dda\u8207\u5716\u4e4b\u6a6b\u8ef8\u8868\u793a\u3002 \u4e0d\u540c\u4eba\u6642\uff0c\u5373\u4f7f\u6027\u5225\u5206\u985e\u5668\u8aa4\u5224\u4e86\u6e2c\u8a66\u8a9e\u8005\u7684\u6027\u5225\uff0c\u7cfb\u7d71\u932f\u8aa4\u63a5\u53d7\u6b64\u8ca0\u6a23\u672c\u7684\u6a5f\u7387\u4ecd\u7136 \u7684\u9810\u671f\uff0c\u4e5f\u5c31\u662f\u5728\u6027\u5225\u5206\u985e\u5668\u8868\u73fe\u4e0d\u826f\u4e4b\u524d\u63d0\u4e0b\uff0c\u4ecd\u7136\u8d85\u8d8a\u5c0d\u7167\u7d44\u6d41\u7a0b\u7684\u76ee\u6a19\u3002 \u5206\u5668\u50c5\u4ee5\u8a3b\u518a\u65b9\u8207\u6e2c\u8a66\u65b9 i-\u5411\u91cf\u4e4b\u9593\u7684\u6b50\u6c0f\u8ddd\u96e2\u4f5c\u70ba\u5224\u65b7\u662f\u5426\u70ba\u540c\u4e00\u8a9e\u8005\u4e4b\u552f\u4e00\u6a19\u6e96\u3002 \u5728\u4e0d\u5206\u7537\u3001\u5973\u8cc7\u6599\u6240\u8a13\u7df4\u51fa\u4f86\u7684\u6df7\u5408 i-\u5411\u91cf\u6a21\u578b\uff0c\u5728\u8a13\u7df4\u8cc7\u6599\u8db3\u5920\u7684\u524d\u63d0\u4e0b\uff0c\u6211\u5011\u53ef\u4ee5 \u5047\u5b9a\u5176\u6703\u76e1\u91cf\u5c07\u4e0d\u540c\u8a9e\u8005\u7684 i-\u5411\u91cf\u5728\u7a7a\u9593\u4e0a\u5f7c\u6b64\u5206\u958b\uff1b\u4f46\u662f\uff0c\u6b63\u5982\u65b9\u624d\u6240\u8ff0\uff0c\u7531\u65bc\u7537\uff0f NIST SRE 2010 TIMIT \u662f\u5169\u7a2e\u8a9e\u6599\u5eab\u4e2d\u6700\u4f73\u53c3\u6578\u6240\u8868\u73fe\u51fa\u7684\u7d50\u679c\uff0cNIST SRE 2010 \u8a9e\u6599\u5eab\u7684\u932f\u8aa4\u7387\u53ef\u9054 3.93%\uff0c \u800c TIMIT \u8a9e\u6599\u5eab\u5247\u53ef\u4ee5\u9054\u5230\u5b8c\u5168\u5206\u985e\u6b63\u78ba\uff0c\u5373 0%\u932f\u8aa4\u7387\u7684\u7d50\u679c\u3002 \u540c\u6a23\u5730\uff0c\u5716\u4e2d\u7684\u7d05\u8272\u865b\u7dda\u6240\u6a19\u8a18\u7684\u662f\u5169\u7a2e\u8a9e\u6599\u5eab\u4e2d\u6700\u4f73\u53c3\u6578\u6240\u8868\u73fe\u51fa\u7684\u7d50\u679c\uff0cNIST SRE \u4e0d\u9ad8\u3002\u4f46\u7576\u8a3b\u518a\u8a9e\u8005\u8207\u6e2c\u8a66\u8a9e\u8005\u70ba\u540c\u4e00\u4eba\uff0c\u4e00\u65e6\u6e2c\u8a66\u8a9e\u8005\u88ab\u8aa4\u5224\u6027\u5225\uff0c\u4f7f\u7528\u524d\u4eba\u4f5c\u6cd5\u7684 \u4e94\u3001\u7d50\u8ad6 2010 \u8a9e\u6599\u5eab\u7684\u932f\u8aa4\u7387\u53ef\u9054 4.07%\uff0c\u800c TIMIT \u8a9e\u6599\u5eab\u5247\u8207\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u4e00\u6a23\uff0c \u7cfb\u7d71\u6703\u5206\u5225\u4ee5\u4e0d\u540c\u6027\u5225\u4e4b\u6a21\u578b\u70ba\u8a3b\u518a\u65b9\u8207\u6e2c\u8a66\u65b9\u62bd\u53d6 i-\u5411\u91cf\uff0c\u6b64\u7a2e\u60c5\u5f62\u5e7e\u4e4e\u5fc5\u7136\u6703\u9020\u6210 \u5716 14\u3001\u65b9\u6cd5\u4e8c\u4e4b\u6d41\u7a0b\u67b6\u69cb\u5716 \u672c\u8ad6\u6587\u4e4b\u5404\u9805\u5be6\u9a57\u7d50\u679c\u8b49\u5be6\uff0c\u7121\u8ad6\u6027\u5225\u5206\u985e\u5668\u7684\u8868\u73fe\u6216\u4eff\u5192\u8005\u7684\u6027\u5225\u7d44\u6210\uff0c\u7686\u6703\u5f71\u97ff \u53ef\u4ee5\u9054\u5230\u5b8c\u5168\u5206\u985e\u6b63\u78ba\uff0c\u5373 0%\u932f\u8aa4\u7387\u7684\u7d50\u679c\u3002 \u5973\u6027 i-\u5411\u91cf\u6a21\u578b\u5728\u8a13\u7df4\u904e\u7a0b\u4e2d\u4e26\u6c92\u6709\u63a5\u89f8\u904e\u5973\uff0f\u7537\u6027\u7684\u8cc7\u6599\uff0c\u56e0\u6b64\u4fbf\u5f88\u6709\u53ef\u80fd\u7522\u751f\u7279 \u5716 9\u3001\u65b9\u6cd5\u4e00\u6d41\u7a0b\u4e4b\u7d50\u679c \u5b9a\u7537\u6027\u8a9e\u8005\u8207\u5973\u6027\u8a9e\u8005\u7684 i-\u5411\u91cf\u8ddd\u96e2\u904e\u5ea6\u76f8\u8fd1\u7684\u73fe\u8c61\uff0c\u4f7f\u5f97\u7cfb\u7d71\u5bb9\u6613\u5c07\u4ed6\u5011\u8aa4\u5224\u70ba\u540c\u4e00 \u795e\u7d93\u7db2\u8def\u6027\u5225\u5206\u985e\u5668 \u7cfb\u7d71\u70ba\u6b64\u6b63\u6a23\u672c\u8a55\u51fa\u8f03\u975e\u5e38\u4f4e\u7684\u5206\u6578\uff1b\u800c\u4f7f\u7528\u65b9\u6cd5\u4e00\u6d41\u7a0b\u4e4b\u7cfb\u7d71\uff0c\u5728\u6aa2\u6e2c\u51fa\u8a3b\u518a\u8a9e\u8005\u8207 \u672c\u6d41\u7a0b\u4f7f\u7528\u5be6\u9a57\u4e09\u4e2d\u7684\u652f\u6301\u5411\u91cf\u6a5f\u6027\u5225\u5206\u985e\u5668\u70ba\u6e2c\u8a66\u97f3\u6a94\u9032\u884c\u6027\u5225\u9810\u6e2c\uff0c\u800c \u7cfb\u7d71\u4e4b\u6574\u9ad4 \u8207\u8005\u9a57\u8b49\u7cfb\u7d71\u7684\u8868\u73fe\uff0c\u56e0\u6b64\u4e0d\u540c\u7684\u6027\u5225\u8cc7\u8a0a\u904b\u7528\u65b9\u6cd5\uff0c\u7686\u5404\u6709\u5176\u9069\u7528\u7684\u524d\u63d0\u3002\u4ee5\u4e0b\u6574</td></tr></table>", |
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"html": null, |
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"num": null, |
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"text": "\u4efd\u9304\u97f3\u6a94\u30023 \u7a2e\u8cc7\u6599\u985e\u578b\u4e4b\u97f3\u6a94\u53d6\u6a23\u983b\u7387\u70ba 8,000 \u8d6b\u8332\u3001\u6a23\u672c\u4f4d\u5143\u6578\u7686\u70ba 16\u3002\u8cc7\u6599 \u914d\u7f6e\u65b9\u9762\uff0c\u8a13\u7df4\u8cc7\u6599\u662f\u4ee5 3 \u7a2e\u8cc7\u6599\u985e\u578b\u5404\u53d6 2\uff0f3 \u8a9e\u8005\u6578\u91cf\uff0c\u4e00\u5171 4,469 \u4f4d (\u7537 1,965 \uff0f\u5973 2,504)\u8a9e\u8005\u7684\u96c6\u5408\uff1b\u6e2c\u8a66\u8cc7\u6599\u5247\u662f\u5269\u4e0b\u7684 1\uff0f3 \u8a9e\u8005\u6578\u91cf\uff0c\u4e00\u5171 2,237 \u4f4d(\u7537" |
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} |
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} |
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} |
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} |