B.TechSemester 72024-25Speech ProcessingKEC078

Speech Processing (KEC078) - AKTU Question Paper 2024-25

B.Tech · Semester 7 · Free PDF Download

This is the official AKTU Speech Processing Previous Year Question Paper for B.Tech Semester 7, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech

Semester:Semester 7

Session:2024-25

University:AKTU / UPTU

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Questions Asked in 2024-25

Speech Processing (KEC078) — complete question paper · 100 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 10 = 20

a
List the key assumptions in the acoustic theory of speech production
b
Define acoustic phonetics
c
What is the purpose of short-time energy in speech processing?
d
How does AMDF differ from the autocorrelation method for pitch detection?
e
Explain the purpose of spectrographic displays in speech processing
f
List the properties of short-time Fourier transforms
g
What is a homomorphic vocoder, and where is it used?
h
How can formants be estimated using homomorphic methods? 4 K3 i. Define prediction error in the context of LPC. 5 K1 j. What is the significance of normalized mean square error in LPC?

Section BAttempt any three of the following: 10 x 3 = 20

a
Explain the mechanism of speech production and its relationship with acoustic phonetics
b
Explain the concept of the short-time average zero-crossing rat e and its role in distinguishing speech from silence
c
Describe the properties of short -time Fourier analysis and its importance in speech processing
d
Evaluate the benefits and limita tions of homomorphic processing in real-time speech applications
e
Analyze the relationship between various speech parameters in L PC and lossless tube models

Section CAttempt any one part of the following: 10 x 1 = 10

a
Describe the acoustic theory of speech production and its significance in speech signal modeling
b
Illustrate the lossless tube models used in speech signal proce ssing. How do they simulate the vocal tract?
a
Define short-time energy and average magnitude. How are these p arameters used to analyze speech signals?
b
Evaluate the effectiv eness of short-time autocorrelation and AM DF methods for pitch detection
a
Analyze the use of spectrographic displays in visualizing speech signals
b
Explain the design and implement ation of filter ba nks using the FFT-based method
a
Explain the computation of the complex cepstrum of a speech signal
b
Define the homomorphic system for convolution and its applicati on in speech processing
a
Describe the autocorrelation method used in LPC and its computational steps
b
Define the basic principles of linear predictive analysis in speech processing

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

Repeated Questions — KEC078

Questions that appeared in more than one session, found by comparing 2 years of Speech Processing papers (2022-23, 2024-25)

Explain the mechanism of speech production and its relationship with acoustic phonetics

Appeared in: 2022-23 · 2024-25

Speech Processing — Other Year Papers

AKTU Speech Processing PYQs from other sessions

Speech Processing2022-23

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