The goal of this study was to design a system that would facilitate word processing for the handicapped, and implement the general public's most natural and effective way of communication--verbally. The word processor recognized the letters of the alphabet. This project explored and tested three methods of feature extraction which were the DFT, Spectrogram, and MFCCs. It was shown that the MFCC provides the best feature vector with a recognition rate of 97.9%.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Fuller, Amy Jean
• Osio, Romulo Mikael

Publisher

• Worcester Polytechnic Institute

Identifier

• 02D228M

Advisor

• Hakim, Hossein

Year

• 2002

Date created

• 2002-01-01

Resource type

• Major Qualifying Project

Major

• Electrical Engineering

Rights statement

• In Copyright