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ENEE 632

Speech and Audio Processing

3 Credits

The objective is to apply digital signal processing techniques to speech and music signals. Topics covered include acoustic theory of speech production leading to the source-filter model; acoustic and digital vocal-tract models of speech production; speech analysis-synthesis based on the short-time Fourier transform, linear prediction, and homomorphic representations; extensions to other multiresolution analysis; time-domain models for speech processing; auditory perception and speech perception; waveform and model-based speech coding using scalar and vector quantization; time-scale modification; pitch and formant estimation; application of techniques to music analysis-synthesis.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Credit Only Granted for: ENEE739A or ENEE632 . Formerly: ENEE739A. Additional Information: Completing ENEE620 and ENEE630 is strongly recommended before taking this course.

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