ETE

ECCDLO6024: Audio Processing Syllabus for EC 6th Sem 2018 Pattern Mumbai University (Department Level Optional Course-2)

Audio Processing detailed syllabus scheme for Electronics & Telecommunication Engineering (EC), 2018 regulation has been taken from the MU official website and presented for the Bachelor of Engineering students. For Course Code, Course Title, Test 1, Test 2, Avg, End Sem Exam, Team Work, Practical, Oral, Total, and other information, do visit full semester subjects post given below.

For 6th Sem Scheme of Electronics & Telecommunication Engineering (EC), 2018 Pattern, do visit EC 6th Sem Scheme, 2018 Pattern. For the Department Level Optional Course-2 scheme of 6th Sem 2018 regulation, refer to EC 6th Sem Department Level Optional Course-2 Scheme 2018 Pattern. The detail syllabus for audio processing is as follows.

Audio Processing Syllabus for Electronics & Telecommunication Engineering TE 6th Sem 2018 Pattern Mumbai University

Prerequisites:

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 Objectives:

  • To understand basic concepts and methodologies for the analysis and modeling of speech signal.
  • To characterize the speech signal as generated by a speech production model.
  • To understand the mechanism of speech and audio perception.
  • To understand the digital representation of the speech waveform.
  • To perform the analysis of speech signal using STFT.
  • To extract the information of the speech or audio signals.
  • To provide a foundation for developing application in this field.

Course Outcomes:

After successful completion of the course student will be able to

  • Demonstrate advanced Knowledge in Digital model representation of speech signal.
  • Design and implement algorithms for processing speech and audio signals considering the properties of acoustic signals and human hearing.
  • Analyze speech signal to extract the characteristic of vocal tract (formants) and vocal cords (pitch).
  • Formulate and design a system for speech recognition and speaker recognition.
  • Acquired knowledge about audio and speech signal estimation and detection.
  • Analyze complex engineering problems critically for conducting research in speech signal

Module 1

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.

Module 2

Digital Models for Speech signals 06

  1. Speech production and acoustic tube modeling, acoustic phonetics, anatomy, and physiology of the vocal tract and ear, hearing and perception.

Module 3

Digital Representations of the Speech Waveform 08

  1. Sampling speech signals, Instantaneous quantization, Adaptive quantization, Differential quantization, Delta Modulation, Differential PCM, Comparison of systems, Direct digital code conversion.

Module 4

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.

Module 5

Short time Fourier Transform 10

  1. Introduction- Definition and Properties, Fourier Transform Interpretation ,Linear Filtering Interpretation ,Sampling rates of Xn (e|w )in Time and Frequency ,Filter Bank Summation Method of Short -Time Synthesis ,Overlap Addition Method for Short -Time Synthesis.

Module 6

Speech and Audio Processing 06

  1. Vocoder- Voice excited channel vocoder, Voice excited and error signal excited LPC vocoders. Adaptive predictive coding of speech, Auditory Modeling. Audio signal processing for Music applications. Speech recognition pattern comparison techniques, Artificial Neural Network.

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.

Reference Books:

  1. Thomas F Quateri, Discrete Time Speech Signal Processing Pearson Edition,2006.
  2. Ben Gold and Nelson Morgan, Speech & Audio Signal Processing, wiley, 2007.
  3. Douglas O Shaughnessy, Speech Communications, 2nd Edition, Oxford university press, 2000.

Internal Assessment:

Assessment consists of two class tests of 20 marks each. The first class test is to be conducted when approximately 40% syllabus is completed and second class test when additional 40% syllabus is completed. The average marks of both the test will be considered for final Internal Assessment. Duration of each test shall be of one hour.

End Semester Examination:

  1. Question paper will comprise of 6 questions, each carrying 20 marks.
  2. The students need to solve total 4 questions.
  3. Question No.1 will be compulsory and based on entire syllabus.
  4. Remaining question (Q.2 to Q.6) will be selected from all the modules.

For detail Syllabus of all subjects of Electronics & Telecommunication Engineering (EC) 6th Sem 2018 regulation, visit EC 6th Sem Subjects of 2018 Pattern.

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.