Speech Signal Processing Courses at UCLA

Digital Speech Processing (EE214A)	Applications of Digital Speech Processing (EE214B)
Winter Quarter, 1998 Pre-Requisite: EE113 Instructor: Professor Abeer Alwan Office: 66-147E Engineering IV Phone: x5-2647 Lecture: TR 12:00-1:50PM, BH5436	Spring Quarter, 1998 Pre-Requisite: EE214A Instructor: Dr. Mark Hasegawa-Johnson Office: 56-125B Engineering IV Phone: x6-6775 Lecture: TR 10:00-11:50AM, BH5440
Course Topics:	Course Topics:
Time-Frequency Analysis of Speech Short-Time Fourier Transform Linear Prediction Speech Production Acoustic wave equation Digital reflection-line models Homomorphic Analysis Complex Cepstrum Real Cepstrum Speech Coding Waveform Coders: PCM, ADPCM LPC-Based Coders: LPC Vocoders, APC, CELP	Speech and Audio Coding Single-band and multi-band vocoders Analysis by synthesis: CELP, VSELP Methods for quantizing LPC coefficients Transform/sub-band coding: STC, ATC, MPEG Speech Recognition Mel-frequency spectral representations Hidden Markov models, segmental models Language modeling Dialog systems
EE 214A teaches the essentials skills necessary for time-frequency and time-quefrency analysis of speech. Lecture assignments will be reinforced by homework and computer assignments.	EE 214B teaches modern speech and audio coding and speech recognition algorithms. Lecture subjects will be reinforced by computer assignments using customized tools developed in the matlab signal processing language.