ECE

EC5080: Speech Processing Syllabus for ECE 8th Sem 2019 Regulation Anna University (Professional Elective-VI)

Speech Processing detailed syllabus for Electronics & Communication Engineering (ECE) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the ECE students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Electronics & Communication Engineering 8th Sem scheme and its subjects, do visit ECE 8th Sem 2019 regulation scheme. For Professional Elective-VI scheme and its subjects refer to ECE Professional Elective-VI syllabus scheme. The detailed syllabus of speech processing is as follows.

Speech Processing

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit I

Basic Concepts
Speech Fundamentals: Articulatory Phonetics – Production and Classification of Speech Sounds; Acoustic Phonetics – Acoustics of speech production; Review of Digital Signal Processing concepts; Short-Time Fourier Transform, Filter-Bank and LPC Methods.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit III

Speech Modeling
Hidden Markov Models: Markov Processes, HMMs – Evaluation, Optimal State Sequence -Viterbi Search, Baum-Welch Parameter Re-estimation, Implementation issues.

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Unit V

Speech Synthesis

Text Books:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Course Outcome:

  1. Ability to use speech related parameters.
  2. Ability to extract significant features from speech to reduce redundancy in speech by using several distortion measures.
  3. Ability to develop models for speech signals.
  4. Ability to develop speech recognition algorithms.
  5. Ability to develop artificial speech generation of human speech.

Text Books:

  1. Lawrence Rabinerand Biing-Hwang Juang, “Fundamentals of Speech Recognition”, Pearson Education, 2003.
  2. Daniel Jurafsky and James H Martin, “Speech and Language Processing – An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition”, Pearson Education, 3rd Edition, 2018.

References:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

For detailed syllabus of all the other subjects of Electronics & Communication Engineering 8th Sem, visit ECE 8th Sem subject syllabuses for 2019 regulation.

For all Electronics & Communication Engineering results, visit Anna University ECE all semester results direct link.

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