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...)