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001 Audio and acoustics.mp4
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MP4
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37.1 MB
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001 Audio and acoustics_en.vtt
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VTT
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8.3 KB
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001 Data requirement.mp4
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MP4
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39.1 MB
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001 Data requirement_en.vtt
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VTT
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11.4 KB
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001 Gaussian mixture models 1.mp4
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MP4
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37.7 MB
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001 Gaussian mixture models 1_en.vtt
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VTT
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9.8 KB
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001 Indirect use of neural networks.mp4
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MP4
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34.9 MB
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001 Indirect use of neural networks_en.vtt
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VTT
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9.3 KB
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001 Intro to deep learning 1.mp4
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MP4
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41.4 MB
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001 Intro to deep learning 1_en.vtt
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VTT
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8.6 KB
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001 Intro to speaker recognition 1.mp4
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MP4
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40.6 MB
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001 Intro to speaker recognition 1_en.vtt
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VTT
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10 KB
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001 Short-time analysis.mp4
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MP4
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50.9 MB
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001 Short-time analysis_en.vtt
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VTT
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14.4 KB
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001 Should I take this course.mp4
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MP4
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66.2 MB
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001 Should I take this course_en.vtt
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VTT
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4.3 KB
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001 What is voice identity.mp4
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MP4
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27.4 MB
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001 What is voice identity_en.vtt
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VTT
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7.3 KB
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002 Data preprocessing.mp4
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MP4
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39.9 MB
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002 Data preprocessing_en.vtt
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VTT
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11.7 KB
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002 Direct use of neural networks.mp4
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MP4
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18.6 MB
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002 Direct use of neural networks_en.vtt
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VTT
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5.1 KB
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002 Expected outcome from this course.mp4
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MP4
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11.8 MB
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002 Expected outcome from this course_en.vtt
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VTT
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3 KB
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002 Gaussian mixture models 2.mp4
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MP4
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23.6 MB
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002 Gaussian mixture models 2_en.vtt
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VTT
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6.7 KB
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002 Hearing and perception 1.mp4
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MP4
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35.7 MB
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002 Hearing and perception 1_en.vtt
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VTT
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6.9 KB
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002 Intro to deep learning 2.mp4
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MP4
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38.2 MB
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002 Intro to deep learning 2_en.vtt
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VTT
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7.9 KB
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002 Intro to speaker recognition 2.mp4
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MP4
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46.3 MB
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002 Intro to speaker recognition 2_en.vtt
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VTT
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11.9 KB
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002 The earliest voice-id techniques.mp4
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MP4
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48.1 MB
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002 The earliest voice-id techniques_en.vtt
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VTT
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7.6 KB
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002 Time domain features.mp4
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MP4
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27.8 MB
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002 Time domain features_en.vtt
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VTT
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7.6 KB
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003 Data augmentation 1.mp4
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MP4
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36.7 MB
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003 Data augmentation 1_en.vtt
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VTT
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10.7 KB
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003 Feed-forward neural networks.mp4
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MP4
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30.3 MB
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003 Feed-forward neural networks_en.vtt
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VTT
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6.9 KB
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003 Frequency domain features.mp4
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MP4
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37.5 MB
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003 Frequency domain features_en.vtt
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VTT
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9.6 KB
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003 Gaussian mixture models 3.mp4
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MP4
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30.4 MB
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003 Gaussian mixture models 3_en.vtt
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VTT
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7.6 KB
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003 Hearing and perception 2.mp4
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MP4
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32.9 MB
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003 Hearing and perception 2_en.vtt
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VTT
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6.3 KB
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003 How to max your win from this course.mp4
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MP4
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8.2 MB
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003 How to max your win from this course_en.vtt
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VTT
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2.3 KB
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003 Inference 1.mp4
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MP4
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34.9 MB
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003 Inference 1_en.vtt
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VTT
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8.6 KB
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003 System workflow of speaker recognition.mp4
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MP4
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29 MB
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003 System workflow of speaker recognition_en.vtt
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VTT
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7.2 KB
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003 The development of voice-id techniques.mp4
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MP4
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58.9 MB
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003 The development of voice-id techniques_en.vtt
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VTT
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11.7 KB
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004 Audio signal processing.mp4
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MP4
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42.5 MB
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004 Audio signal processing_en.vtt
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VTT
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10.2 KB
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004 Commonly used features.mp4
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MP4
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44.2 MB
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004 Commonly used features_en.vtt
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VTT
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11.2 KB
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004 Convolutional neural networks.mp4
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MP4
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43.7 MB
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004 Convolutional neural networks_en.vtt
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VTT
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11 KB
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004 Data augmentation 2.mp4
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MP4
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39.3 MB
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004 Data augmentation 2_en.vtt
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VTT
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11.2 KB
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004 Inference 2.mp4
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MP4
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45.9 MB
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004 Inference 2_en.vtt
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VTT
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12.5 KB
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004 Similarity scoring.mp4
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MP4
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42.6 MB
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004 Similarity scoring_en.vtt
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VTT
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10.5 KB
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004 Syllabus.mp4
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MP4
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7.7 MB
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004 Syllabus_en.vtt
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VTT
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2.1 KB
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004 The new age of voice-id techniques.mp4
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MP4
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39.4 MB
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004 The new age of voice-id techniques_en.vtt
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VTT
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6.7 KB
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004 Universal background model.mp4
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MP4
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28.5 MB
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004 Universal background model_en.vtt
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VTT
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8.1 KB
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005 Audio coding and formats.mp4
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MP4
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50.5 MB
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005 Audio coding and formats_en.vtt
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VTT
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12.5 KB
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005 Data augmentation 3.mp4
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MP4
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26.4 MB
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005 Data augmentation 3_en.vtt
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VTT
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6.7 KB
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005 Evaluation and metrics 1.mp4
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MP4
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42.3 MB
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005 Evaluation and metrics 1_en.vtt
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VTT
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10.6 KB
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005 Loss function 1.mp4
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MP4
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38.6 MB
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005 Loss function 1_en.vtt
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VTT
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10.2 KB
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005 Recurrent neural networks.mp4
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MP4
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39.6 MB
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005 Recurrent neural networks_en.vtt
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VTT
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8.8 KB
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005 Support vector machines 1.mp4
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MP4
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22.8 MB
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005 Support vector machines 1_en.vtt
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VTT
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6.3 KB
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006 Attention and transformer.mp4
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MP4
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35.1 MB
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006 Attention and transformer_en.vtt
|
VTT
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9 KB
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006 Data fusion.mp4
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MP4
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32.2 MB
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006 Data fusion_en.vtt
|
VTT
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7.7 KB
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006 Evaluation and metrics 2.mp4
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MP4
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39.9 MB
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006 Evaluation and metrics 2_en.vtt
|
VTT
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9.6 KB
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006 Learning to use SoX.mp4
|
MP4
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32.3 MB
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006 Learning to use SoX_en.vtt
|
VTT
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10.1 KB
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006 Loss function 2.mp4
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MP4
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40.3 MB
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006 Loss function 2_en.vtt
|
VTT
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10.2 KB
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006 Support vector machines 2.mp4
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MP4
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29.8 MB
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006 Support vector machines 2_en.vtt
|
VTT
|
8.1 KB
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007 Common datasets.mp4
|
MP4
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32.5 MB
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007 Common datasets_en.vtt
|
VTT
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6.8 KB
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007 Deep learning with PyTorch.mp4
|
MP4
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30.8 MB
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007 Deep learning with PyTorch_en.vtt
|
VTT
|
8.9 KB
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007 Factor analysis.mp4
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MP4
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32 MB
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007 Factor analysis_en.vtt
|
VTT
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8.8 KB
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007 Loss function 3.mp4
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MP4
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56.9 MB
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007 Loss function 3_en.vtt
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VTT
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14.1 KB
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007 Score normalization.mp4
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MP4
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22.6 MB
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007 Score normalization_en.vtt
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VTT
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6.3 KB
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008 Joint factor analysis.mp4
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MP4
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19.4 MB
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008 Joint factor analysis_en.vtt
|
VTT
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4.7 KB
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009 i-vector.mp4
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MP4
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36.1 MB
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|
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009 i-vector_en.vtt
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VTT
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8.5 KB
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40147682-Lenny.mp4
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MP4
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25.3 MB
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40149148-female-audio.wav
|
WAV
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179.6 KB
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40149154-male-audio.wav
|
WAV
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179.6 KB
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40259198-speech.wav
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WAV
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159.7 KB
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40259202-noise.wav
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WAV
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311.3 KB
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40259206-output.wav
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WAV
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368.7 KB
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40260372-GMM-1995.pdf
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PDF
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1.3 MB
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40260376-GMM-UBM-2000.pdf
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PDF
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348.1 KB
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40260378-GMM-SVM-2006.pdf
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PDF
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321 KB
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40260380-i-vector-2011.pdf
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PDF
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1.7 MB
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40260382-JFA-2008.pdf
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PDF
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518 KB
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40260394-Tandem-Deep-Features-2014.PDF
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PDF
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202 KB
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40260400-j-vector-2015.PDF
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PDF
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215 KB
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40260404-DNN-i-vector-2014.pdf
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PDF
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373 KB
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40260430-deep-speaker-2017.pdf
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PDF
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1.1 MB
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40260432-d-vector-2014.pdf
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PDF
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634.7 KB
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40260436-x-vector-2018.pdf
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PDF
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269.6 KB
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40260446-ge2e-2018.pdf
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PDF
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459 KB
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40260462-synth2aug-2020.pdf
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PDF
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249.8 KB
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40260498-facenet-2015.pdf
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PDF
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4.5 MB
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40260504-attention-2017.pdf
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PDF
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2.1 MB
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40260612-PLP-1989.pdf
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PDF
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1.8 MB
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40260614-PNCC-2016.pdf
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PDF
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2.1 MB
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40260684-voiceprint-identification-1962.pdf
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PDF
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289.4 KB
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Bonus Resources.txt
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TXT
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409.6 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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external-assets-links.txt
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TXT
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102.4 B
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