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... audio compression algorithm. (6+8). 8. Write short notes on : i) Mel frequency cepstral coefficients. ii) Hidden Mar
known word sequence based on Bayesian prediction classification. (BPC). The proposed ... Experimental results show that moderate word error rate reduction is ...
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 10, NO. 5
, JULY 2002 ... In this paper, the automatic classification of audio signals into.
Aug 15, 2007 - the development of both speech and non-speech intersensory perception across .... a Powermac G4 computer (Apple Inc., Cuppertino, CA, USA). ... and position (center, periphery) as a within-subjects factor indicated.
of view. The International Standard Organization (ISO) started in October 1996 a ..... France, October 1998. [2] MPEG-7: ISO/IEC 15938-5 Final Commitee Draft-.
Hearing, Speech and. Audio Technology. Fraunhofer Institute for. Digital Media
Technology IDMT. Fraunhofer - Partner for increased market competitiveness.
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, VOL. 9, NO. 1, JANUARY ..... subscripts). phasis filter with a transfer function was applied. ..... tions, speaking style or speaking rate that caused the differences. Although the ...
results are obtained when the well-known mel-cepstrum technique [2] is applied. Because of ..... S.B. Davis y P. Mermelstein, IEEE Trans. on ASSP, vol. 28, pp.
May 20, 2014 - Méthode Alpha Ludique et Efficace Pour le. Déclic Lecture. Chalon-sur-Saône: Eveil et découvertes. Huyse, A., Berthommier, F., and Leybaert, ...
Aug 27, 2008 - Applications: digital multimedia libraries, media monitoring, News on. Demand ... Developing multimedia and multilingual indexing and management tools .... Best combination via feature vector concatenation (78 features).
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Try one of the apps below to open or edit this item. akiko audio español_______________________________________________
Voice Reader Software. Overview of Text to Speech with Windows. The text to speech software is a program that enables pe
recognition software would work well. Any in- ... Full transcription capabilites to easily tran- scribe your voice memos
supported by traditional visual maps, and that Audio Bubbles better support ..... Apple iPhone application so we can evaluate the wandering scenario with real.
presented with audio-visual sentences in a transcription task. The visual components of ... specifies the talkers vocal tract transfer function and how these attributes change over .... instructed to speak in a conversational style. The video image.
noise/ distractionâ for the viewer. â Lots of lighting is important. If there is a. window in the room, the window s
(a) MATV. (b) Yagi Uda Antenna. (c) Remote Control for CD player ... BIEL-034 2. Page 2 of 2. Main menu. Displaying Audi
5. What are diphthongs? 6. Why we require sampling of analog signals? 7. Why we generally keep sampling frequency more t
Mohit Goel
Assignment-1
Speech and Audio Processing
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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?
mohitgoel4u.blogspot.com
Mohit Goel
Assignment-1
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bit quantization system?
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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
