Description: Study of speech signals, their properties, and the digital
	processing thereof to recover these properties.

Textbook:  L.R. Rabiner & R.W. Schafer, Digital Processing of Speech Signals,
	Prentice-Hall, NY, 1978.
        
Reference: T.P. Barnwell, et al, Speech Coding, Georgia Tech, 1996.
	L. Rabiner & B.H. Juang, Fundamentals of Speech Recognition,
	Prentice-Hall, NY, 1993.
        
     Chapter                 Topic

        1       Introduction.  Speech, its processing, and some applications.

        2       Fundamentals of speech processing.  Analysis tools including
                z, Fourier, and DFT transforms; FIR and IIR filters; sampling.

        3       Digital models for the speech signal.  Vocal tract analog
                and digital models.

        4       Time Domain models for speech processing.  Useful performance
                measures including energy, zero-crossings, voiced and unvoiced,
                pitch periods, correlation functions, and smoothing.

        5       Digital representations of the speech waveform.  Encoding of 
                speech using delta modulation, PCM and differential PCM, other 
                systems.

        6       Short-time Fourier analysis.  Short term analysis effects,
                filter banks, pitch detection, and vocoders.

        7       Homomorphic speech processing.  Cepstrum, pitch detection,
                formant estimation, and vocoders.

        8       Linear predictive coding of speech.  LPC methods and parameters,
                relations between speech parameters.

        9       Digital speech processing for man-machine communication by voice.
                Speech and speaker recognition, and voice response systems.


Laboratory Projects: Design, analyze, and test speech recognition algorithms 
	of standard library signals.

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