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Multimedia Systems Education Innovations I: Speech

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2012 ASEE Annual Conference & Exposition


San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012



Conference Session

Information and Network Security

Tagged Division

Computing & Information Technology

Page Count


Page Numbers

25.960.1 - 25.960.16



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Paper Authors


Tokunbo Ogunfunmi Santa Clara University

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Tokunbo Ogunfunmi is the Associate Dean for Research and Faculty Development in the School of Engineering at Santa Clara University (SCU), Santa Clara, Calif. He is also an Associate Professor in the Department of Electrical Engineering and Director of the Signal Processing Research Lab. (SPRL). In 2003, he served as Acting Chair of the Department of Electrical Engineering at SCU. His research interests include digital signal processing, adaptive and nonlinear filters, multimedia (Video/Audio/Speech), neural networks, and VLSI/FPGA/DSP development. He has published 140+ papers in refereed journal and conference papers in these and related areas. He has also published two books: Adaptive Nonlinear System Identification: Volterra and Wiener Model Approaches, published by Springer, 2007, and Principles of Speech Coding, co-authored with Dr. Madihally (Sim) Narasimha and published by CRC Press, 2010. He is a Senior Member of the Institution of Electrical and Electronic Engineers (IEEE), a member of Sigma Xi (the Scientific Research Society), American Association for Engineering Education (ASEE), and a member of the American Association for the Advancement of Science (AAAS). He is on the editorial board of IEEE Signal Processing Letters and Circuits, Systems, and Signal Processing. He is the Chair of the IEEE CASS Technical Committee on Circuits and Systems for Education Outreach (CASEO). He obtained his B.S.E.E. (first class honors) from University of Ife, Nigeria, and M.S. and Ph.D. in electrical engineering from Stanford University.

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Multimedia Systems Education Innovations: SpeechAbstractMultimedia Systems is becoming very important in undergraduate education.The word multimedia refers to speech, audio and video data.Speech, audio and video processing devices are very common-place in everyday life.This is due to the growth of popularity of personal digital assistants (PDA), cellularphones, and other embedded speech/audio/video devices. One of the major applicationsof DSP is in speech, audio and video processing.We are developing a 3-part course sequence that will help teach undergraduatesmultimedia systems. The first part of the 3-part course sequence is about speech. Thesecond and third parts will focus on audio and video. The goal is to demystify theseapplications of real-time signal processing so that undergraduates can have a mastery ofthe basic techniques.In this paper, we provide details of a course we designed for undergraduates whichfocuses on the understanding how to process speech. We provide examples of thecurriculum, what is covered and how we cover it. We also provide examples oflaboratory projects that are used to complement the class lecture sessions. We useMATLAB software in all the lab projects.We also discuss possible implementations of the speech coding and processing usinghardware such as DSPs. In the future, we plan to introduce use of FPGAs for thisapplication as well.Details of the course and our experiences in the development and offering them will bepresented at the conference.

Ogunfunmi, T. (2012, June), Multimedia Systems Education Innovations I: Speech Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. 10.18260/1-2--21717

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