EC 42 D: Speech Processing Syllabus for ET 7th Sem 2017 DBATU (Elective-IX)

Speech Processing detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.

For 7th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2017 Onwards, do visit ET 7th Sem Scheme, 2017 Onwards. For the Elective-IX scheme of 7th Sem 2017 onwards, refer to ET 7th Sem Elective-IX Scheme 2017 Onwards. The detail syllabus for speech processing is as follows.

Speech Processing Syllabus for Electronics & Telecommunication Engineering (ET) 4th Year 7th Sem 2017 DBATU

Course Objectives:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Course Outcomes:

After successfully completing the course students will be able to

1. Design and implement algorithms for processing speech and audio signals considering the properties of acoustic signals and human hearing.
2. Analyze speech signal to extract the characteristic of vocal tract (formants) and vocal cords (pitch)
3. Write a program for extracting LPC Parameters using Levinson Durbin algorithm.
4. Formulate and design a system for speech recognition and speaker recognition.

Unit 1

Fundamentals of speech production
Anatomy and physiology of speech production, Human speech production mechanism, LTI model for speech production, Nature of speech signal, linear time varying model, articulatory phonetics, acoustic phonetics, Voiced and Unvoiced speech.

Unit 2

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Unit 3

Time and frequency domain methods for audio processing
Time-dependent speech processing. Short-time energy, short time average magnitude, Short time average zero crossing rate. Speech Vs. silence discrimination using energy and zero crossing rate. Short-time autocorrelation function, short-time average magnitude difference function. Pitch period estimation using autocorrelation method. Audio feature extraction, Spectral centroid, spectral spread, spectral entropy, spectral flux, spectral roll-off. Spectrogram: narrow band and wide band spectrogram.

Unit 4

Linear prediction analysis
Basic principles of linear predictive analysis. Autocorrelation method, covariance method. Solution of LPC equations: Cholesky decomposition, Durbins recursive solution, lattice formulations and solutions. Frequency domain interpretation of LP analysis. Applications of LPC parameters as pitch detection and formant analysis.

Unit 5

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 pdf platform to make students’s lives easier.
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Unit 6

Speech and Audio processing applications
Speech recognition: complete system for an isolated word recognition with vector quantization/DTW. Speaker recognition: Complete system for speaker identification, verification. Introduction to speech enhancement, Speech enhancement using spectral subtraction method, Introduction to Text to speech conversion, Introduction to Musical instrument classification, Musical Information retrieval.

Reference/Text Book:

1. Deller J. R. Proakis J. G. and Hanson J. H., Discrete Time Processing of Speech Signals, Wiley Interscience.
2. Ben Gold and Nelson Morgan, Speech and audio signal processing Wiley.
3. L. R. Rabiner and S.W. Schafer, Digital processing of speech signals Pearson Education.
4. Thomas F. Quateri, Discrete-Time Speech Signal Processing: Principles and Practice Pearson.
5. Dr. Shaila Apte, Speech and audio processing, Wiley India Publication.
6. L. R. Rabiner and B. H. Juang, Fundamentals of speech recognition.
7. Theodoros Giannakopoulos and Aggelospikrakis, Introduction to audio analysis: A MATLAB Approach: Elsevier Publication.

For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 7th Sem 2017 onwards, visit ET 7th Sem Subjects of 2017 Onwards.