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Posted By: rama Member Level: Silver Posted Date: 10 Jun 2008
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2008 Anna University B.E Electronics and Communication EC1020 SPEECH PROCESSING Question paper
EC1020 SPEECH PROCESSING AIM To introduce the characteristics of Speech signals and the related time and frequency domain methods for speech analysis and speech compression
OBJECTIVE • To introduce the models for speech production • To develop time and frequency domain techniques for estimating speech parameters • To introduce a predictive technique for speech compression • To understand speech recognition, synthesis and speaker identification.
UNIT I NATURE OF SPEECH SIGNAL 9 Speech production mechanism, Classification of speech, sounds, nature of speech signal, models of speech production. Speech signal processing: purpose of speech processing, digital models for speech signal, Digital processing of speech signals, Significance, short time analysis.
UNIT II TIME DOMAIN METHODS FOR SPEECH PROCESSING 9 Time domain parameters of speech, methods for extracting the parameters, Zero crossings, Auto correlation function, pitch estimation.
UNIT III FREQUENCY DOMAIN METHODS FOR SPEECH PROCESSING 9 Short time Fourier analysis, filter bank analysis, spectrographic analysis, Format extraction, pitch extraction, Analysis - synthesis systems.
UNIT IV LINEAR PREDICTIVE CODING OF SPEECH 9 Formulation of linear prediction problem in time domain, solution of normal equations, Interpretation of linear prediction in auto correlation and spectral domains. UNIT V HOMOMORPHIC SPEECH ANALYSIS 9 Central analysis of speech, format and pitch estimation, Applications of speech processing - Speech recognition, Speech synthesis and speaker verification.
TOTAL : 45 TEXTBOOK 1. L.R. Rabiner and R.E Schafer : Digital processing of speech signals, Prentice Hall, 1978.
REFERENCES 1. J.L Flanagan : Speech Analysis Synthesis and Perception - 2nd Edition - Sprenger Vertag, 1972. 2. I.H.Witten :Principles of Computer Speech , Academic press, 1983.
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