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process.log
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process.log
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2024-11-19 09:44:46,044 - INFO - Found 10 WAV files in 'Data\Ananya'.
2024-11-19 09:45:01,400 - INFO - Successfully read file: sample_1.wav with sample rate: 16000
2024-11-19 09:45:01,414 - INFO - Successfully read file: sample_10.wav with sample rate: 16000
2024-11-19 09:45:01,514 - INFO - Successfully read file: sample_2.wav with sample rate: 16000
2024-11-19 09:45:01,539 - INFO - Successfully read file: sample_4.wav with sample rate: 16000
2024-11-19 09:45:01,564 - INFO - Successfully read file: sample_5.wav with sample rate: 16000
2024-11-19 09:45:01,572 - INFO - Extracted MFCC features shape: (1881, 20)
2024-11-19 09:45:01,572 - INFO - Extracted MFCC features shape: (1627, 20)
2024-11-19 09:45:01,577 - INFO - Feature Variance: [ 0.12883543 24.618069 31.3163388 31.45579814 34.57603763 25.49599701
40.88303222 56.63671692 65.2552675 42.96510055 44.63421638 52.39540134
38.60860141 28.33604948 21.76266086 19.36456382 12.63827575 8.81865062
5.38965579 3.0093573 ]
2024-11-19 09:45:01,577 - INFO - Feature Variance: [ 0.26111404 27.0320962 34.08751807 27.53101395 39.6409641 24.70290232
34.30888622 52.55119667 58.74435921 41.72451667 33.69705411 41.0398504
42.47819409 25.51390688 21.9443077 17.28171355 13.11724003 9.50449438
4.99457958 3.33779183]
2024-11-19 09:45:01,580 - INFO - Successfully read file: sample_6.wav with sample rate: 16000
2024-11-19 09:45:01,604 - INFO - Features extracted from sample_1.wav: shape (1881, 40)
2024-11-19 09:45:01,604 - INFO - Features extracted from sample_10.wav: shape (1627, 40)
2024-11-19 09:45:01,620 - INFO - Successfully read file: sample_8.wav with sample rate: 16000
2024-11-19 09:45:01,621 - INFO - Successfully read file: sample_7.wav with sample rate: 16000
2024-11-19 09:45:01,723 - INFO - Extracted MFCC features shape: (1829, 20)
2024-11-19 09:45:01,730 - INFO - Feature Variance: [ 0.15643197 26.09141229 33.62514546 32.32644132 33.87790768 22.15151475
37.66294924 61.12283043 61.32893241 42.84002809 40.66396834 49.01455278
38.36520843 30.44782707 23.33308815 21.54739107 13.55486492 10.39339319
5.85142739 3.38381156]
2024-11-19 09:45:01,747 - INFO - Extracted MFCC features shape: (1866, 20)
2024-11-19 09:45:01,747 - INFO - Feature Variance: [ 0.15524133 23.19632153 30.8458983 27.67903441 35.82708914 24.14535126
34.28162567 55.98868271 60.34623721 40.97574668 34.10885846 52.8379049
39.85083566 27.27639853 20.65104319 19.48238579 13.35983559 9.31361773
5.30615592 3.15809345]
2024-11-19 09:45:01,763 - INFO - Features extracted from sample_2.wav: shape (1829, 40)
2024-11-19 09:45:01,772 - INFO - Extracted MFCC features shape: (1819, 20)
2024-11-19 09:45:01,772 - INFO - Feature Variance: [ 0.16222057 26.04520731 33.17771172 31.45728609 35.87074356 23.03034868
31.03422432 57.05009577 61.58872743 41.44452116 38.15196372 49.06617363
40.05932636 27.19598884 22.27737878 18.96680947 13.06396779 8.48629558
5.03114503 3.07810152]
2024-11-19 09:45:01,778 - INFO - Features extracted from sample_5.wav: shape (1866, 40)
2024-11-19 09:45:01,790 - INFO - Successfully read file: sample_9.wav with sample rate: 16000
2024-11-19 09:45:01,804 - INFO - Features extracted from sample_3.wav: shape (1819, 40)
2024-11-19 09:45:01,821 - INFO - Extracted MFCC features shape: (1798, 20)
2024-11-19 09:45:01,821 - INFO - Extracted MFCC features shape: (1918, 20)
2024-11-19 09:45:01,826 - INFO - Feature Variance: [ 0.15383894 24.20117087 31.62223084 29.30677135 34.95949549 24.29526736
35.60657066 58.97089253 55.77948946 47.17955262 38.31318856 56.14901032
43.61131208 31.08803486 23.35934328 20.07502408 12.37501857 8.61354765
5.61015807 3.11759373]
2024-11-19 09:45:01,827 - INFO - Feature Variance: [ 0.1492355 24.27928513 30.56388058 27.32128944 37.30370629 24.08681123
36.45853743 56.13243715 66.74215873 40.07496431 37.69860295 50.33515957
38.81981257 29.30464542 20.85074509 20.40993027 12.33816141 8.87392222
6.08700102 3.52595396]
2024-11-19 09:45:01,830 - INFO - Extracted MFCC features shape: (1772, 20)
2024-11-19 09:45:01,831 - INFO - Feature Variance: [ 0.15717951 20.49855986 27.27256213 27.6920114 33.96970583 24.58069183
35.17423796 59.76610113 62.19354459 43.1547966 38.2046058 52.09228701
46.42250294 30.17206452 21.98304088 18.68081729 12.17985769 8.2622369
5.50234357 3.24431083]
2024-11-19 09:45:01,831 - INFO - Extracted MFCC features shape: (1725, 20)
2024-11-19 09:45:01,831 - INFO - Feature Variance: [ 0.2287805 24.64447803 33.2662618 24.82070657 40.8226311 26.16220056
31.6036806 50.86238827 52.14402317 44.38691671 37.28484479 49.63951226
43.43540019 35.1826873 24.28302674 22.7272027 14.22145758 9.27037403
5.96700973 3.46738033]
2024-11-19 09:45:01,848 - INFO - Features extracted from sample_6.wav: shape (1798, 40)
2024-11-19 09:45:01,848 - INFO - Features extracted from sample_7.wav: shape (1772, 40)
2024-11-19 09:45:01,848 - INFO - Features extracted from sample_4.wav: shape (1918, 40)
2024-11-19 09:45:01,848 - INFO - Features extracted from sample_8.wav: shape (1725, 40)
2024-11-19 09:45:01,914 - INFO - Extracted MFCC features shape: (1835, 20)
2024-11-19 09:45:01,919 - INFO - Feature Variance: [ 0.14886425 23.14039973 32.47537572 28.4668957 30.71945196 21.77133374
35.14663647 59.27543879 59.15102134 39.56195578 37.34524318 54.96284446
42.19634121 31.53504048 21.29505682 19.59872454 13.21434946 8.65783726
5.38688725 3.38792349]
2024-11-19 09:45:01,929 - INFO - Features extracted from sample_9.wav: shape (1835, 40)
2024-11-19 09:45:02,096 - INFO - Total features concatenated: (18070, 40)
2024-11-19 09:45:02,096 - INFO - UBM Means shape: (32, 40)
2024-11-19 09:45:02,096 - INFO - UBM Covariances shape: (32, 40)
2024-11-19 09:45:02,104 - INFO - Fitting the GMM model to the extracted features...
2024-11-19 09:45:04,990 - INFO - GMM model training completed successfully in 2.89 seconds.
2024-11-19 09:45:05,006 - INFO - GMM model trained and saved successfully at D:/DeepLearning-Project (virtual-env)/voiceauth/model\Ananya.gmm.
2024-11-19 09:45:48,806 - INFO - Using device: cpu
2024-11-19 09:45:48,891 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 09:45:48,891 - INFO - Best validation accuracy: 70.05%
2024-11-19 09:45:49,090 - INFO - Extracted MFCC features shape: (999, 20)
2024-11-19 09:45:49,090 - INFO - Feature Variance: [ 9.42836446 270.77640764 460.34369127 334.91212731 239.17274124
204.50951976 325.47201304 211.90294807 203.8413947 160.40565371
155.30909914 197.88512492 109.16281094 87.94703134 75.62709184
67.97598117 30.26501948 22.88542225 17.56282396 7.60178431]
2024-11-19 09:47:39,887 - INFO - Using device: cpu
2024-11-19 09:47:39,913 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 09:47:39,913 - INFO - Best validation accuracy: 70.05%
2024-11-19 09:47:40,019 - INFO - Extracted MFCC features shape: (999, 20)
2024-11-19 09:47:40,019 - INFO - Feature Variance: [ 7.24928109 312.83846468 385.60521561 233.24476468 235.65884298
133.46192076 337.77148316 201.5379806 232.85410208 144.99702329
187.1445887 178.01147429 92.44432646 121.41446934 65.40815043
72.69211028 37.57814837 22.40933383 19.55111025 9.42953448]
2024-11-19 09:48:23,429 - INFO - Using device: cpu
2024-11-19 09:48:23,464 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 09:48:23,464 - INFO - Best validation accuracy: 70.05%
2024-11-19 09:48:23,565 - INFO - Extracted MFCC features shape: (999, 20)
2024-11-19 09:48:23,565 - INFO - Feature Variance: [ 9.46633641 322.16141683 424.51742059 290.20935223 251.53674373
132.59517566 280.01932364 196.71007884 208.1592051 131.80042372
153.15484828 184.6410537 96.36282951 100.87658474 68.61973153
73.48131916 31.93132423 22.39610791 16.97231602 9.38308517]
2024-11-19 09:49:26,733 - INFO - Using device: cpu
2024-11-19 09:49:26,755 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 09:49:26,755 - INFO - Best validation accuracy: 70.05%
2024-11-19 09:49:26,859 - INFO - Extracted MFCC features shape: (999, 20)
2024-11-19 09:49:26,859 - INFO - Feature Variance: [ 8.4699473 326.67980927 402.39694276 287.66316835 242.79017082
156.9089494 326.95101741 239.37685383 143.79025552 143.16366769
162.74059221 202.95054226 118.39868594 97.52832026 107.74701228
86.3121743 34.75235018 21.09625145 17.24542237 7.08541985]
2024-11-19 10:00:37,164 - INFO - Using device: cpu
2024-11-19 10:00:37,192 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 10:00:37,192 - INFO - Best validation accuracy: 70.05%
2024-11-19 10:57:36,325 - INFO - Using device: cpu
2024-11-19 10:57:36,347 - INFO - Model loaded from D:/DeepLearning-Project (virtual-env)/DeepfakeDetection/models/best_model.pth
2024-11-19 10:57:36,347 - INFO - Best validation accuracy: 70.05%