WEB-based experiments for introducing speech recognition basics in a DSP course

Venkatraman Atti; Andreas Spanias

WEB-based experiments for introducing speech recognition basics in a DSP course

Venkatraman Atti, Andreas Spanias

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

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 preprocessing, 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.

Original language	English (US)
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
State	Published - 2004
Event	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada Duration: May 17 2004 → May 21 2004

Other

Other	Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing
Country/Territory	Canada
City	Montreal, Que
Period	5/17/04 → 5/21/04

ASJC Scopus subject areas

Electrical and Electronic Engineering
Signal Processing
Acoustics and Ultrasonics

Cite this

@inproceedings{579010940a3c456b925131aa5e1f5039,

title = "WEB-based experiments for introducing speech recognition basics in a DSP course",

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 preprocessing, 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.",

author = "Venkatraman Atti and Andreas Spanias",

year = "2004",

language = "English (US)",

volume = "5",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

note = "Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing ; Conference date: 17-05-2004 Through 21-05-2004",

}

TY - GEN

T1 - WEB-based experiments for introducing speech recognition basics in a DSP course

AU - Atti, Venkatraman

AU - Spanias, Andreas

PY - 2004

Y1 - 2004

N2 - 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 preprocessing, 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.

AB - 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 preprocessing, 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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UR - http://www.scopus.com/inward/citedby.url?scp=4544370646&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:4544370646

VL - 5

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 17 May 2004 through 21 May 2004

ER -

WEB-based experiments for introducing speech recognition basics in a DSP course

Abstract

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ASJC Scopus subject areas

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