NPTEL : NOC:Digital Speech Processing (Electronics and Communication Engineering)

Co-ordinators : Prof. Shyamal Kumar Das Mandal


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...)