Speech-Related Courses at UCLA

Speech-Related Courses at UCLA



Electrical Engineering Department

EE 114: Speech and Image Processing

Lecture, three hours; recitation, one hour; outside study, eight hours. Prerequisite: course 113 (Digital Signal Processing). Basic principles of data acquisition, filtering, feature extraction, transforms. Acoustic theory of speech production, speech analysis techniques, and modeling perceptual mechanisms in first half of the course; image representation and basic image processing techniques in second half. Lecture supplemented by computer laboratory assignments.

Texts: Speech Communication, Douglas O' Shaughnessy; Two Dimensional Signal and Image Processing, Jae Lim

EE 190D: Systems Design

Lecture, two hours; laboratory, two hours; outside study, eight hours. Prerequisites: courses 113, 132A, 141. Advanced systems design integrating communications, control, and signal processing subsystems. Different project to be assigned yearly in which student teams create high-performance designs that manage trade-offs among subsystems.

EE 214: Digital Speech Processing

Graduate level course on the theory and applications of digital processing of speech signals. Mathematical models of human speech production and perception mechanisms, speech analysis/synthesis techniques including linear-prediction, filter-bank models, and homomorphic filtering. Applications to speech synthesis, automatic speech recognition and hearing aids.

Prerequisites: solid understanding of linear systems and the fundamentals of Digital Signal Processing (EE 113 or equivalent).

Text: Digital Processing of Speech Signals, Rabiner and Schafer

EE 214B: Advanced Topics in Speech Processing

Advanced techniques used in various speech-processing applications, with focus on speech recognition by humans and machines, and on speech and audio coding for digital communication channels. Physiology and psychoacoustics of human perception. Dynamic Time Warping (DTW) and Hidden Markov Models (HMM) for automatic speech recognition systems, pattern classification, and search algorithms. Aids for the hearing impaired.

Prerequisites: course 214A.

Text: Fundamentals of Speech Recognition, Rabiner and Juang, plus course notes.


Linguistics Department

Linguistics 103: Introduction to General Phonetics

Lecture, three hours; laboratory, two hours. Prerequisite: one prior linguistics course or course 20 (Introduction to Linguistics) concurrently. Phonetics of a variety of languages and phonetic phenomena that occur in languages of the world. Extensive practice in perception and production of such phenomena.

Linguistics 104: Experimental Phonetics

Lecture, four hours; discussion, one hour. Prerequisite: course 103. Survey of principal techniques of experimental phonetics. Use of laboratory equipment for recording and measuring phonetic phenomena.

Linguistics 203: Phonetic Theory

Prerequisite: course 120A (Phonology I). Preliminaries to speech analysis. Functional anatomy of vocal organs; fundamental principals of acoustics and of acoustic theory of speech production; issues in perception of speech; nature and design of feature systems for phonetic and phonological analysis.

Linguistics 204: Survey of Experimental Phonetics

Prerequisite: course 103 or equivalent. Use of laboratory equipment to investigate articulatory, acoustic, and perceptual properties of speech. Topics include experimental design and statistics; theoretical basis of acoustic structure of speech sounds; computer-based speech processing, analysis, and modeling; perceptual and acoustic evaluation of synthetic speech.


Biology Department

Biology M173: Anatomy and Physiology of Sense Organs

Lecture, three hours; discussion, one hour. Prerequisites: courses 171 (Principles of Neurobiology) or M175A-M175B (Neuroscience: from Molecules to Mind), or equivalent. Structure and function of sense organs. Adoption of quantitative and comparative approach to provide insight into evolution of sense organs in both invertebrates and vertebrates.

Biology 243: Animal Communication

Lecture, three hours; discussion one hour. Prerequisites: Mathematics 3C, Physics 6C, consent of instructor. Open to qualified undergraduates with consent of instructor. Physical properties of animal signals and physiological mechanisms underlying their generation and reception. Lectures treat signal analysis, signal transmission, and receptor design in light of constraints placed on each of the sensory modalities. Examples of communication systems using visual, auditory, chemical, electrical, and magnetic cues, with emphasis on biological adaptations for efficiently signaling species-specific information.