B.TechSemester 72022-23Speech ProcessingKEC078
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Speech Processing (KEC078) - AKTU Question Paper 2022-23

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 2022-23. 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:2022-23
University:AKTU / UPTU

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Questions Asked in 2022-23

Speech Processing (KEC078) — extracted question text

Section AAttempt all questions in brief. 2 x 10 = 20
  • a
    Define a speech signal
  • b
    What are lossless tube models of speech signal?
  • c
    Write short note on speech spectrogram
  • d
    What is short time average zero crossing rate?
  • e
    Define pitch detection
  • f
    Define correlation function with an example
  • g
    What do you understand by filter? Explain
  • h
    Write the basic principle of linear predictive coding of speech. (i) Explain the concept of complex cepstrum of speech. (j) Differentiate between convol ution and deconvolution of speech
Section BAttempt any three of the following: 10 x 3 = 30
  • a
    Explain in detail the mech anics of speech production and acoustic phonics
  • b
    With the help of a block dia gram and mathematical analysis explain how short time energy and average magnitude of speech signal is computed
  • c
    What is short-time Fourier analysis? Explain the properties of short-time Fourier analysis
  • d
    What is homomorphic system of convolution? Explain in detail
  • e
    Discuss the freque ncy domain interpretation of mean squared prediction error of a lossless tube model. Also d escribe the relations between v arious speech parameters
Section CAttempt any one part of the following: 10 x 1 = 10
  • a
    Explain digital models for speech signals using examples
  • b
    Why we need speech processing in real world? Explain with e xample
  • a
    What is pitch period estimati on using parallel processing? Explain with proper equations
  • b
    What are the factors which h ave to be considered in automatic recognition of isolation during speech versus silence discrimination? Elaborate with two examples
  • a
    Describe filter bank summation method of short time synthes is in signal in terms of linear filtering
  • b
    What is vocoder and channel vocoder? Explain with proper diagrams
  • a
    Explain parallel processing time domain pitch detection. Al so explain homomorphic deconvolution of speech signal
  • b
    With the help of a block diagram explain homomorphic vocode r containing analyzer and synthesizer
  • b
    How do we compute the gain for a given model? Explain

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.

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