Speech Processing detailed syllabus for Electronics & Telecommunication Engineering (ETE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the ETE 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 & Telecommunication Engineering 5th Sem scheme and its subjects, do visit ETE 5th Sem 2021 regulation scheme. For Professional Elective-II scheme and its subjects refer to ETE Professional Elective-II syllabus scheme. The detailed syllabus of speech processing is as follows.
Course Objectives:
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Unit I
FUNDAMENTALS OF SPEECH
The Human speech production mechanism, Discrete-Time model of speech production, Speech perception – human auditory system, Phonetics – articulatory phonetics, acoustic phonetics, and auditory phonetics, Categorization of speech sounds, Spectrographic analysis of speech sounds, Pitch frequency, Pitch period measurement using spectral and cepstral domain, Formants, Evaluation of Formants for voiced and unvoiced speech.
Unit II
SPEECH FEATURES AND DISTORTION MEASURES
Significance of speech features in speech-based applications, Speech Features – Cepstral Coefficients, Mel Frequency Cepstral Coefficients (MFCCs), Perceptual Linear Prediction (PLP), Log Frequency Power Coefficients (LFPCs), Speech distortion measures-Simplified distance measure, LPC-based distance measure, Spectral distortion measure, Perceptual distortion measure.
Unit III
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Unit IV
SPEECH ENHANCEMENT
Classes of Speech Enhancement Algorithms, Spectral-Subtractive Algorithms – Multiband Spectral Subtraction, MMSE Spectral Subtraction Algorithm, Spectral Subtraction Based on Perceptual Properties, Wiener Filtering – Wiener Filters in the Time Domain, Wiener Filters in the Frequency Domain, Wiener Filters for Noise Reduction, Maximum-Likelihood Estimators, Bayesian Estimators, MMSE and Log-MMSE Estimator, Subspace Algorithms.
Unit V
SPEECH SYNTHESIS AND APPLICATION
A Text-to-Speech systems (TTS), Synthesizers technologies – Concatenative synthesis, Use of Formants for concatenative synthesis, Use of LPC for concatenative synthesis, HMM-based synthesis, Sinewave synthesis, Speech transformations, Watermarking for authentication of a speech, Emotion recognition from speech.
Practical Exercises
- Write a MATLAB Program to classify voiced and unvoiced segment of speech using various timedomain measures
- Write a MATLAB Program to calculate the MFCC for a speech signal
- Implement ITU-T G.722 Speech encoder in MATLAB
- Write a MATLAB Program to implement Wiener Filters for Noise Reduction
- Design a speech emotion recognition system using DCT and WPT in MATLAB
HARDWARE & SOFTWARE SUPPORT TOOLS:
- Personal Computer with MATLAB
- Microphone and Speakers
Course Outcomes:
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Text Books:
- Shaila D. Apte, Speech and Audio Processing, Wiley India (P) Ltd, New Delhi, 2012
- Philipos C. Loizou, Speech Enhancement Theory and Practice, Second Edition, CRC Press, Inc., United States, 2013
Reference Books:
- Rabiner L. R. and Juang B. H, Fundamentals of speech recognition, Pearson Education, 2003
- Thomas F. Quatieri, Discrete-time speech signal processing – Principles and practice, Pearson, 2012.
For detailed syllabus of all the other subjects of Electronics & Telecommunication Engineering 5th Sem, visit ETE 5th Sem subject syllabuses for 2021 regulation.
For all Electronics & Telecommunication Engineering results, visit Anna University ETE all semester results direct link.