Videos
Lecture 1 - Introduction to Digital Speech Processing
Lecture 2 - Digitization and Recording
Lecture 3 - Review of DSP Concepts
Lecture 4 - Review of DSP Concepts (Continued...)
Lecture 5 - Human Speech Production and Source Filter Model
Lecture 6 - Place and Mannerat Articulation
Lecture 7 - Articulatory and Acoustic Phonetics
Lecture 8 - Handson on Acoustic Phonetics
Lecture 9 - Uniform Tube Modeling of Speech Processing - I
Lecture 10 - Uniform Tube Modeling of Speech Processing - II
Lecture 11 - Uniform Tube Modeling of Speech Processing - III
Lecture 12 - Uniform Tube Modeling of Speech Processing - IV
Lecture 13 - Uniform Tube Modeling of Speech Processing - V
Lecture 14 - Uniform Tube Modeling of Speech Processing - VI
Lecture 15 - Uniform Tube Modeling of Speech Processing - VII
Lecture 16 - Speech Perception - Part I
Lecture 17 - Speech Perception - Part II
Lecture 18 - Speech Perception - Part III
Lecture 19 - Time Domain Methods in Speech Processing
Lecture 20 - Time Domain Methods in Speech Processing (Continued...)
Lecture 21 - Introduction to Liner Prediction
Lecture 22 - Autocorrelation Method of LPC analysis
Lecture 23 - Autocorrelation Method of LPC analysis (Continued...)
Lecture 24 - Lattice Formulations of Linear Prediction
Lecture 25 - Lattice Formulations of Linear Prediction (Continued...)
Lecture 26 - Review of Short-Time Fourier Transform (STFT)
Lecture 27 - Short-Time Fourier Transform Analysis
Lecture 28 - Short-Time Fourier Transform Synthesis
Lecture 29 - Lattice Formulations of Linear Prediction
Lecture 30 - Lattice Formulations of Linear Prediction (Continued...)
Lecture 31 - Segmental and Supra-segmental features of speech signal
Lecture 32 - Cepstral Transform Coefficients (CC) Parameters extraction
Lecture 33 - Mel Frequency Cepstral Coefficients
Lecture 34 - MFCC features vector
Lecture 35 - Fundamental Frequency (F0) Detection of speech signal
Lecture 36 - Frequency Domain Fundamental Frequency Detection Algorithms
Lecture 37 - Text to Speech Synthesis
Lecture 38 - Text to Speech Synthesis (Continued...)
Lecture 39 - Automatic Speech Recognition
Lecture 40 - Statistical Modeling of Automatic Speech Recognition
Lecture 41 - Speech based Technology Development for e-learning
Lecture 42 - Prosody Modeling
Lecture 43 - Fundamental frequency countur modeling
Lecture 44 - Fundamental frequency contour modeling (Continued...)
NPTEL Video Course : NOC:Digital Speech Processing
Lecture 33 - Mel Frequency Cepstral Coefficients
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