An efficient speech recognition system for arm-disabled students based on isolated words-Reference-Cited by-同舟云学术

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An efficient speech recognition system for arm-disabled students based on isolated words

Published:2017-11-07 Issue:2 Volume:26 Page:285-301
ISSN:1061-3773
Container-title:Computer Applications in Engineering Education
language:en
Short-container-title:Comput Appl Eng Educ

Author:

Darabkh Khalid A.¹,Haddad Laila¹,Sweidan Saadeh Z.¹,Hawa Mohammed²,Saifan Ramzi¹,Alnabelsi Sharhabeel H.³

Affiliation:

1. Department of Computer Engineering; The University of Jordan; Amman Jordan

2. Department of Electrical Engineering; The University of Jordan; Amman Jordan

3. Department of Computer Engineering; Al-Balqa Applied University; Amman Jordan

Publisher

Wiley

Subject

General Engineering,Education,General Computer Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cae.21884/fullpdf

Reference78 articles.

1. Secure national electronic voting system;Abandah;J. Inf. Sci. Eng,2014

2. DWT and MFCC based feature extraction methods for isolated word recognition;Abdalla;Int. J. Comput. Appl,2013

3. Wavelet-based mel-frequency cepstral coefficients for speaker identification using hidden markov models;Abdalla;‎J. Telecommun,2010

4. N. Aboutabit D. Beautemps L. Besacier Automatic identification of vowels in the Cued Speech context 2007 1 8

5. Block-based steganographic algorithm using modulus function and pixel-value differencing;Al-Dhamari;J. Software Eng. Appl,2017

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