Torrent Downloads » Other » [ CoursePig com ] Udemy - Speaker Recognition By Award Winning Textbook Author
Other
[ CoursePig com ] Udemy - Speaker Recognition By Award Winning Textbook Author
Torrent info
Torrent Files List
Get Bonus Downloads Here.url (Size: 1.96 GB) (Files: 142)
Get Bonus Downloads Here.url
~Get Your Files Here !
01 - Introduction to this course
001 Should I take this course.mp4
001 Should I take this course_en.vtt
002 Expected outcome from this course.mp4
002 Expected outcome from this course_en.vtt
003 How to max your win from this course.mp4
003 How to max your win from this course_en.vtt
004 Syllabus.mp4
004 Syllabus_en.vtt
02 - The History of Voice Identity Techniques
001 What is voice identity.mp4
001 What is voice identity_en.vtt
002 The earliest voice-id techniques.mp4
002 The earliest voice-id techniques_en.vtt
003 The development of voice-id techniques.mp4
003 The development of voice-id techniques_en.vtt
004 The new age of voice-id techniques.mp4
004 The new age of voice-id techniques_en.vtt
40147682-Lenny.mp4
40149148-female-audio.wav
40149154-male-audio.wav
40260684-voiceprint-identification-1962.pdf
external-assets-links.txt
03 - Fundamental of Audio Processing
001 Audio and acoustics.mp4
001 Audio and acoustics_en.vtt
002 Hearing and perception 1.mp4
002 Hearing and perception 1_en.vtt
003 Hearing and perception 2.mp4
003 Hearing and perception 2_en.vtt
004 Audio signal processing.mp4
004 Audio signal processing_en.vtt
005 Audio coding and formats.mp4
005 Audio coding and formats_en.vtt
006 Learning to use SoX.mp4
006 Learning to use SoX_en.vtt
external-assets-links.txt
04 - Acoustic Feature Extraction
001 Short-time analysis.mp4
001 Short-time analysis_en.vtt
002 Time domain features.mp4
002 Time domain features_en.vtt
003 Frequency domain features.mp4
003 Frequency domain features_en.vtt
004 Commonly used features.mp4
004 Commonly used features_en.vtt
40260612-PLP-1989.pdf
40260614-PNCC-2016.pdf
external-assets-links.txt
05 - Fundamentals of Speaker Recognition
001 Intro to speaker recognition 1.mp4
001 Intro to speaker recognition 1_en.vtt
002 Intro to speaker recognition 2.mp4
002 Intro to speaker recognition 2_en.vtt
003 System workflow of speaker recognition.mp4
003 System workflow of speaker recognition_en.vtt
004 Similarity scoring.mp4
004 Similarity scoring_en.vtt
005 Evaluation and metrics 1.mp4
005 Evaluation and metrics 1_en.vtt
006 Evaluation and metrics 2.mp4
006 Evaluation and metrics 2_en.vtt
007 Score normalization.mp4
007 Score normalization_en.vtt
06 - Early Speaker Recognition Approaches
001 Gaussian mixture models 1.mp4
001 Gaussian mixture models 1_en.vtt
002 Gaussian mixture models 2.mp4
002 Gaussian mixture models 2_en.vtt
003 Gaussian mixture models 3.mp4
003 Gaussian mixture models 3_en.vtt
004 Universal background model.mp4
004 Universal background model_en.vtt
005 Support vector machines 1.mp4
005 Support vector machines 1_en.vtt
006 Support vector machines 2.mp4
006 Support vector machines 2_en.vtt
007 Factor analysis.mp4
007 Factor analysis_en.vtt
008 Joint factor analysis.mp4
008 Joint factor analysis_en.vtt
009 i-vector.mp4
009 i-vector_en.vtt
40260372-GMM-1995.pdf
40260376-GMM-UBM-2000.pdf
40260378-GMM-SVM-2006.pdf
40260380-i-vector-2011.pdf
40260382-JFA-2008.pdf
external-assets-links.txt
07 - Deep Learning Basics
001 Intro to deep learning 1.mp4
001 Intro to deep learning 1_en.vtt
002 Intro to deep learning 2.mp4
002 Intro to deep learning 2_en.vtt
003 Feed-forward neural networks.mp4
003 Feed-forward neural networks_en.vtt
004 Convolutional neural networks.mp4
004 Convolutional neural networks_en.vtt
005 Recurrent neural networks.mp4
005 Recurrent neural networks_en.vtt
006 Attention and transformer.mp4
006 Attention and transformer_en.vtt
007 Deep learning with PyTorch.mp4
007 Deep learning with PyTorch_en.vtt
40260504-attention-2017.pdf
external-assets-links.txt
08 - Speaker Recognition with Deep Learning
001 Indirect use of neural networks.mp4
001 Indirect use of neural networks_en.vtt
002 Direct use of neural networks.mp4
002 Direct use of neural networks_en.vtt
003 Inference 1.mp4
003 Inference 1_en.vtt
004 Inference 2.mp4
004 Inference 2_en.vtt
005 Loss function 1.mp4
005 Loss function 1_en.vtt
006 Loss function 2.mp4
006 Loss function 2_en.vtt
007 Loss function 3.mp4
007 Loss function 3_en.vtt
40260394-Tandem-Deep-Features-2014.PDF
40260400-j-vector-2015.PDF
40260404-DNN-i-vector-2014.pdf
40260430-deep-speaker-2017.pdf
40260432-d-vector-2014.pdf
40260436-x-vector-2018.pdf
40260446-ge2e-2018.pdf
40260498-facenet-2015.pdf
09 - Data Processing in Speaker Recognition
001 Data requirement.mp4
001 Data requirement_en.vtt
002 Data preprocessing.mp4
002 Data preprocessing_en.vtt
003 Data augmentation 1.mp4
003 Data augmentation 1_en.vtt
004 Data augmentation 2.mp4
004 Data augmentation 2_en.vtt
005 Data augmentation 3.mp4
005 Data augmentation 3_en.vtt
006 Data fusion.mp4
006 Data fusion_en.vtt
007 Common datasets.mp4
007 Common datasets_en.vtt
40259198-speech.wav
40259202-noise.wav
40259206-output.wav
40260462-synth2aug-2020.pdf
external-assets-links.txt
Bonus Resources.txt
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [ CoursePig com ] Udemy - Speaker Recognition By Award Winning Textbook Author Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
