B.TechSemester 72024-25Speech ProcessingKEC078
View PDFDownload

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

Rate this paper

Questions Asked in 2024-25

Speech Processing (KEC078) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.

Speech Processing — Other Year Papers

AKTU Speech Processing PYQs from other sessions

Speech Processing2022-23

More B.Tech Semester 7 (2024-25) Papers

Other subjects from same semester and session

Electric Drives2024-25Additive Manufacturing2024-25Machine Learning2024-25Maintenance Engineering Management2024-25Disaster Preparedness And Management2024-25Power Plant Engineering2024-25Vlsi Design2024-25Wireless Mobile Communication2024-25
View all B.Tech Semester 7 2024-25 papers →

Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

AKTU 4th Year PYQs — All Branches