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1Lecture 1: PDF unavailable
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16Lecture 16: Human Auditory SystemPDF unavailable
17Lecture 17:PDF unavailable
18Lecture 18:PDF unavailable
19Lecture 19: Time Domain Methods in Speech Processing PDF unavailable
20Lecture 20:PDF unavailable
21Lecture 21 : Introduction to Liner PredictionPDF unavailable
22Lecture 22 : Autocorrelation Method of LPC analysisPDF unavailable
23Lecture 23 : Autocorrelation Method of LPC analysis ( Contd.)PDF unavailable
24Lecture 24 : Lattice Formulations of Linear Prediction PDF unavailable
25Lecture 25 : Lattice Formulations of Linear Prediction ( Contd.)PDF unavailable
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31Lecture 31: Segmental and Supra-segmental features of speech signalPDF unavailable
32Lecture 32: Cepstral Transform Coefficients (CC) Parameters extractionPDF unavailable
33Lecture 33: Mel Frequency Cepstral CoefficientsPDF unavailable
34Lecture 34: MFCC features vectorPDF unavailable
35Lecture 35: Fundamental Frequency (F0) Detection of speech signalPDF unavailable
36Lecture 36: Frequency Domain Fundamental Frequency Detection AlgorithmsPDF unavailable
37Lecture 37 Text to Speech SynthesisPDF unavailable
38Lecture 38 Text to Speech Synthesis ( Contd.)PDF unavailable
39Lecture 39 Automatic Speech RecognitionPDF unavailable
40Lecture 40 Statistical Modeling of Automatic Speech RecognitionPDF unavailable
41Lecture 41 Speech based Technology Development for e-learningPDF unavailable
42Lecture 42 : Prosody ModelingPDF unavailable
43Lecture 43 : Fundamental frequency countur modelingPDF unavailable
44Lecture 44 : Fundamental frequency contour modeling (Contd.)PDF unavailable

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