1. What are the applications of speech processing? 2. What are the differences between voiced and unvoiced speech signals? 3. What is the difference between pitch frequency and formant frequency of the speech signal? 4. How can we say that we can obtained a same results using a “two pole system” as that of a “single zero system”? 5. What are diphthongs? 6. Why we require sampling of analog signals? 7. Why we generally keep sampling frequency more than Nyquist rate for sinusoidal signals? 8. What are the assumptions uses while designing a uniform quantizer? 9. What are the advantages of a logarithmic quantizer over a uniform quantizer? 10. Write the mathematical expression of system function for excitation process used in discrete time model of speech processing? 11. What is the basic principle of delta modulation? 12. Why we keep sampling frequency much higher than Nyquist rate in delta modulation? 13. What is granular noise problem? 14. What is slope over load problem? 15. Why a µ law quantizer is better than a simple logarithmic quantizer? 16. X(t)= 3 cos (2000πt) + 5 sin (6000πt) + 10 cos(12000 πt) What is nyquist frequency and nyquist interval for given signal? 17. What is Jaynt algorithm to select step size in adaptive delta modulation? 18. Explain speech production and speech recognition mechanism using block diagram? 19. Explain human speech production mechanism? 20. What are the formant frequencies of a speech signal and what are the different range of formant frequencies and why we don’t care about higher order formant frequencies? 21. Explain discrete time model of speech production? 22. What is difference between mid rise and mid tread quantizer? Find the expression for SNR in a uniform quantizer? 23. Why are the advantages of logarithmic quantizer over uniform quantizer? Prove that SNR of a logarithmic quantizer is independent of signal variance? 24. What is µ law quantizer? Why a µ law quantizer is better than a simple logarithmic quantizer? 25. Explain the working of linear delta modulation? What are the disadvantages or problems in linear delta modulation, explain them?
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26. Explain the working of adaptive delta modulation and how its removes the problems which exist in linear delta modulation? 27. A digital link carries binary coded words representing samples of signals: X(t)= 3 cos (600 πt) + 2 cos (1800 πt) The link operated on 40000 bits per seconds and each sample is quantized into 1024 different voltages levels. (i) What is sampling frequency and folding frequency? (ii) What is nyquist rate for the signal? (iii) What is step size ∆ ? (iv) What is the discrete time signal obtained after sampling? 28. A speech signal is processed in a TV using 3 bit uniform quantizer. Find the SNR value of system. Assume that Xmax = 8 σ x . What will be the improvement in SNR if we use a four
5. What are diphthongs? 6. Why we require sampling of analog signals? 7. Why we generally keep sampling frequency more than Nyquist rate for sinusoidal. signals? 8. What are the assumptions uses while designing a uniform quantizer? 9. What are the advantages of a logarithmic quantizer over a uniform quantizer? 10.
... Enâ1 + x2 (n),where the window h (n), is defined as h (n) = anu(n), x (n) is. the speech signal, and 0 < a < 1. Draw a digital network diagram of this equation. 6.
on each new speaker approaching that of an SD system for that speaker, while ... over the telephone, one can only count on a few seconds of unsupervised speech. ... The authors are with the Panasonic Speech Technology Laboratory, Pana-.
voice approach with other speaker adaptation algorithms, the ...... the 1999 International Conference on Acoustics, Speech, and Signal Processing. He was an ...
performance for clean and noisy images but also audio-visual speech recognition ..... [4] Ross, L. A., Saint-Amour, D., Leavitt, V. M., Foxe, J. J. Do you see what I ...
Email: {asubram, sabrig, epatter, jgowdy}@clemson.edu. Abstract. In recent years ... visual information for the purposes of Automatic Speech. Recognition (ASR) ...
Department of Electrical and Computer Engineering. Clemson University ..... Interaction,â PhD Dissertation, University of Illinois, Urbana-. Champaign, 1999.
Jul 9, 2008 - gram of the Korea Science and Engineering Foundation and Brain Korea 21 ... The associate ... The authors are with the School of Electrical Engineering and Computer ...... the B.S. degree in electronics engineering (with the.
Nov 17, 2010 - variations in loudness of speech between different programs. 5'457'769 A ..... In an alternative implementation, the loudness esti mator 14 also ... receives an indication of loudness or signal energy for all segments and makes ...
Nov 17, 2010 - the implementation described here, the block length for cal. 20. 25. 30. 35 ..... processing circuitry coupled to the input terminal and the memory ...
May 30, 2000 - United States Patent. Akamine et al. ... (List continued on next page.) Issued: ... section, a prediction ?lter and a prediction parameter cal. [30].
2 Hong Kong Institute of Education ... Conrad Perry, Swinburne University of Technology, School of Life and Social ...... of Phonetics, 26(2), 145â171. DELL, F.
analyze the effectiveness of computer aided pronunciation feedback through games ... motivational tools, henceforth referred to as SPRING, to teach and improve ... as an audio visual aid, and mobile phone as a supporting aid to help learners ...
sults in difficulties for algorithms trying to discover top- ical structure. We create ... topic content in a generally topic-coherent observation stream, we employ the ...
Dynamics of timing in speech production: clocks, coupling and entrainment. A challenging issue in speech production is understanding how the minimal units of speech production (e.g., gestures in the articulatory phonology of Browman & Goldstein,. 199
