Course Name: EE5331 : Speech Signal Processing

Description: (1) The speech signal ? process of speech production ? acoustic phonetics ? the speech chain ? anatomy of the ear ? sound perception ? audttory models (2) Acoustic thery of speech production ? lossless tube models ? digital models for sampled speech signals (3) Time domain processing of speech signals: short-time energy, magnitude, zerocrossing rate, autocorrelation function, AMDF. (4) Frequency domain representations for speech signals: short-time Fourier analysis and its modifications (5) Cepstrum and homomorphic speech processing: short-time cepsturm and complex cepstrum ? cepstrum analysis of allpole modelscepstrum distance measures. (6) Linear predictiv analysis of speech: basics of LP analysis-computation of model gain-frequency domain interpretation-solution of the LP equations-prediction error signal-properties of the LP polynomial-alternative representations of the LP coefficients. (7) Applications: introduction to speech coding, recognition, and synthesis.

Slot: D

RoomNo: ESB 207B

Instructor: Umesh S

Period: JUL-NOV 2013

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