IIUM Repository

LPC and its derivatives for stuttered speech recognition

Alim, Sabur Ajibola and Rashid , Nahrul Khair Alang and Sediono, Wahju and Nik Wahidah, Nik Nur (2015) LPC and its derivatives for stuttered speech recognition. Jurnal Teknologi (Sciences & Engineering) 77:18 (2015) 11–16, 77 (18). pp. 11-16. ISSN eISSN 2180–3722

Download (178kB) | Preview


Stuttering or stammering is disruptions in the normal flow of speech by dysfluencies, which can be repetitions or prolongations of phoneme or syllable. Stuttering cannot be permanently cured, though it may go into remission or stutterers can learn to shape their speech into fluent speech with an appropriate speech pathology treatment. Linear Prediction Coefficient (LPC), Linear Prediction Cepstral Coefficient (LPCC) and Line Spectral Frequency (LSF) were used for the feature extraction, while Multilayer Perceptron (MLP) was used as the classifier. The samples used were obtained from UCLASS (University College London Archive of Stuttered Speech) release 1. The LPCC-MLP system had the highest overall sensitivity, precision and the lowest overall misclassification rate. LPCC-MLP system had challenges with F3, the sensitivity of the system to F3 was negligible, similarly, the precision was moderate and the misclassification rate was negligible, but above 10%.

Item Type: Article (Journal)
Additional Information: 5928/46310
Uncontrolled Keywords: Stuttering, linear prediction coefficient, linear prediction cepstral coefficient, line spectral frequency
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr.-Ing. Wahju Sediono
Date Deposited: 15 Dec 2015 08:13
Last Modified: 05 Jan 2016 15:10
URI: http://irep.iium.edu.my/id/eprint/46310

Actions (login required)

View Item View Item


Downloads per month over past year