Technical Program

Paper Detail

Paper:SPED-P1.10
Session:Signal Processing Education
Time:Wednesday, May 19, 09:30 - 11:30
Presentation: Poster
Topic: Signal Processing Education: Digital Signal Processing Education
Title: WEB-BASED EXPERIMENTS FOR INTRODUCING SPEECH RECOGNITION BASICS IN A DSP COURSE
Authors: Venkatraman Atti; Arizona State University 
 Andreas Spanias; Arizona State University 
Abstract: In this paper, we describe web-based educational software tools tailored to expose students in an undergraduate DSP course to the basics of hidden Markov model (HMM)-based speech recognition. In particular, we developed Java software that enables on-line computer laboratories on the essential pre-processing, HMM, and Viterbi algorithms as used in a basic speech recognition task. The software is complemented by streaming lectures, a set of on-line demonstrations with animation, and exercises that take the student through HMM training and recognition. The software is being made available to students in the Fall of 2003 and we expect to present assessment results at the conference.
 
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