The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 42-320
Full Name: S.A.R. Al-Haddad
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Department Computer and Communication System engineering, Faculty of Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
Country: MALAYSIA
Tel: +6019340 7171
Tel prefix:
Fax: +60386567127
E-mail address: sar@eng.upm.edu.my
Other E-mails: sar_upm@yahoo.com
Title of the Paper: Evaluate Dysathric Sound for Recognition
Authors as they appear in the Paper: S. A. R. Al-Haddad
Email addresses of all the authors: sar@eng.upm.edu.my
Number of paper pages: 10
Abstract: Automatic speech recognition systems have the potential to make hard to understand speech more easily recognizable. Designing a system that recognizes impaired speech is more difficult than a system that recognizes normal speech. The Automatic Malay Speech Recognition for Speech Disorder System is able to recognized impaired Malay words spoken by people who suffer from dysarthria, a motor speech disorder resulting from neuron damage, characterized by poor communication. It is developed using techniques used for normal speech recognition but modified to cater for the speech impairment. A feature extraction technique based on the Mel frequency cepstrum coefficient (MFCC) is used along with artificial intelligent algorithms to recognize the speech. In addition, novel pre-processing steps are required to segment the speech prior to recognition taking into account the speech irregularities. The system requires that the user is registered with the system and the system i!
s then trained to accommodate the user speech pattern. The outputs of the system are the visual display of the corrected words uttered or synthesized audio version of the corrected words. As a result the system manages to get recognition of 91.6%.
Keywords: speech recognition, dynamic time warping, Mel cepstral coefficient
EXTENSION of the file: .doc
Special (Invited) Session: RECENT ADVANCES in CIRCUITS, SYSTEMS, ELECTRONICS, CONTROL and SIGNAL PROCESSING
Organizer of the Session:
How Did you learn about congress: Perpustakaan Sultan Abdul Samad Address: Universiti Putra Malaysia 43400 UPM Serdang Selangor Darul Ehsan Malaysia E-mail: lib@lib.upm.edu.myThis e-mail address is being protected from spam bots, you need JavaScript enabled to view it Telephone: +603-89468642 Fax: +603-89483745
IP ADDRESS: 119.40.118.197
