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080290049 Speech Processing ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008

Anna university Coimbatore Syllabus

080290049 Speech Processing ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008

Department of Electronics and Communication Engineering 

Meant for Anna University Coimbatore

(Regulation 2008/2010)
University:Anna University
Year: Third Year
Department: B.E Electronics and Communication Engineering 
Semester:  (VI) 
Content: 080290049 Speech Processing ECE 6th Semester Anna University Coimbatore Syllabus Regulation 2008
Post Type: Syllabus

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ANALYTICAL BACKGROUND AND TECHNIQUES                                  

Analysis of Discrete Time speech signals – Time frequency analysis of speech- Analysis based on Linear predictive loading- Cepstral Analysis of Speech- Automatic Extraction and Tracking of Speech Formants- Automatic extraction of voicing pitch- Auditory Model for speech Analysis-

Linear Model and Dynamic System Model-Linear Model- Time-Varying Linear Model- Linear Dynamic System Model- Time-Varying Linear Dynamic Systems Model- Nonlinear Dynamic System Model

UNIT II          
 FUNDAMENTALS OSPEECH SCIENCE                                         

Phonetic Process Introduction- Articulatory Phonetics and Speech generation- Acoustic Models of  Speech ProductionCoarticulation- Acoustic  Phonetics and characterization of speech signals- Introduction to Auditory Phonetics- Sound Perception-          Speech               Perception                        Phonological                process             –               phonemes-         Features- Articulatory Phonology

UNIT III           

Models for the Cochlear function- Frequency Domain Solution of the Cochlear Model- Time Domain Solution of the Cochlear Model- Stability Analysis for Time Domain Solution of  the  Cochlear ModelModels foinner  hair  cells and for  synapses to Authority nerve fibres- Interval based speech feature extraction from the cochlear model outputs- Interval-Histogram representation for the speech sound in Quiet in noise- models for network structures in the auditory pathway.

UNIT IV        
 SPEECH CODING                                                                                   

Introduction- Statistical Models- Scalar Quantization- Vector Quantization (VQ)- Frequency-Domain Coding- ModelBased Coding- LPC Residual Coding

UNIT V           
SPEECH TECHNOLOGY IN SELECTED AREAS                              9

Speech Recognition Introduction- Mathematical formulation- Acoustic Pre-processor- Use of HMMs in Acoustic Modelling- Use of higher order statistical models in acoustic modelling-  case  study   speech  recognition  using  a  Hidden  Markov  Model  - Robustness of Acoustic Modelling and Recognizer Design- Speed synthesis – Introduction- Basic approaches- Synthesis Methods- Databases- Case Study Automatic unit selection for waveform speech synthesis



1.  Li    Deng    Douglas   OShaughnessy-   Speech   Processing:    A    Dynamic    and Optimization oriented Approach- Signal Processing and Communication Series- Printed in USA- 2003
2.  Thomas  F-Quatieri-  “Discrete  Time  Speech  Signal  Processing:  Principles  and
Practice- Pearson Education- New Delhi- 2006

3.  John R., Jr. Deller , Discrete-Time Processing of Speech Signals , Wiley-IEEE Press-1999
4.  Quatieri, Discrete-Time Speech Signal Processing: Principles and Practice,PHI-


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