2007 Anna University Chennai B.E Computer Science DIGITAL SPEECH AND IMAGE PROCESSING Question paper for exam preparation. Question paper for 2007 Anna University Chennai B.E Computer Science DIGITAL SPEECH AND IMAGE PROCESSING Question paper, Exam Question papers 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2012 university in india question papers. SiteMap
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2007 Anna University Chennai B.E Computer Science DIGITAL SPEECH AND IMAGE PROCESSING Question paper

University Question Papers
2007 Anna University Chennai B.E Computer Science DIGITAL SPEECH AND IMAGE PROCESSING Question paper
B.E.COMPUTER SCIENCE ENg
DIGITAL SPEECH AND IMAGE PROCESSING 6TH SEM
MAX :100

ANSWER THE FOLLOWING:


PART A-(10*2=20)
1. What are the various steps in digital speech processing?
2. What is the limitation of Fourier Transform?
3. Expand CELP. What is the basic idea of CELP?
4. List the different methods of speech recognition.
5. Define Hadamard Transform.
6. What are the various point processing technique for image enhancement?
7. How will you detect isolated points in the image?
8. how will you convert RGB to YIG color model?
9. What is thinning operation?
10. Define a Tree Grammar.
PART B-(5*16=80)
11.(a) Discuss the spectrographic anlysis of speech using DFT.(Or)
(b) What is the the basic idea behind linear prediction analysis & explain it)& How will you evaluate the accuracy of the linear prediction analysis in time domain.
12. (a) With neat block diagram describe the zero and minimum phase synthesis system.& Explain filter bank summation method for speech synthesis.(Or)
(b) Discuss MELP a model based coding technique.& Explain minimum distance classifier algorithm for speech recognition.
13. (a) Explain in detail histogram specification approach used in enhancement. & Explain various spatial filtering approach to image enhancement.(Or)
(b) Explain the basic degradation model and inverse filter approach to restore the images.& Write a brief note on interactive restoration.
14. (a) Explain the region splitting and merging technique of segmenting the image with an illustrative example. & what is the use of motion in segmentation ? Explain.(Or)
(b) With a neat diagram explain the lossless predictive coding approach for image compressions.& Explain in detail any two boundary representation schemes with illustrative examples.
15. (a) Explain the Image analysis system with a neat block diagram & Explain Hit or Miss Transform for shape detection (Or)
(b) Explain the use of semantic network with example. & Explain the basic components of Expert system with a neat diagram & Explain the Expert system model for airport interpretation problem



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